From d3228798e65f893f010d559c19db7d8b62b29316 Mon Sep 17 00:00:00 2001
From: DesireeWyrzylala <74858504+DesireeWyrzylala@users.noreply.github.com>
Date: Sun, 2 Feb 2025 10:50:48 +0100
Subject: [PATCH] adjust trainingsstructure and separate folders. ignore
 warnings

---
 src/evaluation.py          |    1 +
 src/models/desi/poly.ipynb | 1835 +++---------------------------------
 src/run_model_wrapper.py   |   69 +-
 3 files changed, 146 insertions(+), 1759 deletions(-)

diff --git a/src/evaluation.py b/src/evaluation.py
index 06a2226..7658fef 100644
--- a/src/evaluation.py
+++ b/src/evaluation.py
@@ -12,6 +12,7 @@ if BASE_DIR not in sys.path:
 from src.affiliation.generics import convert_vector_to_events
 from src.affiliation.metrics import pr_from_events
 
+
 def generate_curve(label, score, slidingWindow, version='opt', thre=250):
     if version =='opt_mem':
         tpr_3d, fpr_3d, prec_3d, window_3d, avg_auc_3d, avg_ap_3d = basic_metricor().RangeAUC_volume_opt_mem(labels_original=label, score=score, windowSize=slidingWindow, thre=thre)
diff --git a/src/models/desi/poly.ipynb b/src/models/desi/poly.ipynb
index 7a57503..0214c6d 100644
--- a/src/models/desi/poly.ipynb
+++ b/src/models/desi/poly.ipynb
@@ -33,7 +33,8 @@
     "params = {\n",
     "        'periodicity': [1, 2, 3],\n",
     "        'power': [1, 2, 3, 4,5,7]\n",
-    "}"
+    "}\n",
+    "model = 'POLY'"
    ]
   },
   {
@@ -60,1739 +61,80 @@
      "output_type": "stream",
      "text": [
       "Start Processing files\n",
-      "Start Hyperparameter Tuning\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:136: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:136: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:126: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:131: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\Desktop\\data-mining\\src\\models\\desi\\POLY.py:136: RankWarning: Polyfit may be poorly conditioned\n",
-      "  mymodel = np.poly1d(np.polyfit(x, y, power))\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Start Hyperparameter Tuning\n",
       "File: 001_NAB_id_1_Facility_tr_1007_1st_2014.csv, best hyperparameter: {'periodicity': 3, 'power': 4}\n",
-      "Start Training and evaluation\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
+      "File: 002_NAB_id_2_WebService_tr_1500_1st_4106.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 003_NAB_id_3_WebService_tr_1362_1st_1462.csv, best hyperparameter: {'periodicity': 3, 'power': 7}\n",
+      "File: 004_NAB_id_4_Facility_tr_1007_1st_1437.csv, best hyperparameter: {'periodicity': 3, 'power': 4}\n",
+      "File: 005_NAB_id_5_Traffic_tr_594_1st_1645.csv, best hyperparameter: {'periodicity': 3, 'power': 5}\n",
+      "File: 006_NAB_id_6_Traffic_tr_2579_1st_5839.csv, best hyperparameter: {'periodicity': 1, 'power': 4}\n",
+      "File: 007_NAB_id_7_Traffic_tr_624_1st_2087.csv, best hyperparameter: {'periodicity': 1, 'power': 3}\n",
+      "File: 008_NAB_id_8_Synthetic_tr_1007_1st_2734.csv, best hyperparameter: {'periodicity': 3, 'power': 2}\n",
+      "File: 009_NAB_id_9_Traffic_tr_500_1st_438.csv, best hyperparameter: {'periodicity': 2, 'power': 1}\n",
+      "File: 010_NAB_id_10_WebService_tr_500_1st_271.csv, best hyperparameter: {'periodicity': 3, 'power': 3}\n",
+      "File: 011_NAB_id_11_Facility_tr_1007_1st_1526.csv, best hyperparameter: {'periodicity': 2, 'power': 5}\n",
+      "File: 012_NAB_id_12_Synthetic_tr_1007_1st_2787.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 013_NAB_id_13_Traffic_tr_623_1st_2084.csv, best hyperparameter: {'periodicity': 2, 'power': 4}\n",
+      "File: 014_NAB_id_14_WebService_tr_500_1st_1045.csv, best hyperparameter: {'periodicity': 3, 'power': 2}\n",
+      "File: 015_NAB_id_15_Synthetic_tr_1007_1st_2787.csv, best hyperparameter: {'periodicity': 1, 'power': 3}\n",
+      "File: 016_NAB_id_16_Environment_tr_1816_1st_3540.csv, best hyperparameter: {'periodicity': 2, 'power': 4}\n",
+      "File: 017_NAB_id_17_Synthetic_tr_1007_1st_1805.csv, best hyperparameter: {'periodicity': 2, 'power': 2}\n",
+      "File: 018_NAB_id_18_Facility_tr_500_1st_669.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 019_NAB_id_19_Facility_tr_1007_1st_1171.csv, best hyperparameter: {'periodicity': 3, 'power': 1}\n",
+      "File: 020_NAB_id_20_Synthetic_tr_1007_1st_2679.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 021_NAB_id_21_WebService_tr_500_1st_565.csv, best hyperparameter: {'periodicity': 1, 'power': 2}\n",
+      "File: 022_NAB_id_22_Facility_tr_1007_1st_2980.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 023_NAB_id_23_Facility_tr_4512_1st_16551.csv, best hyperparameter: {'periodicity': 3, 'power': 3}\n",
+      "File: 024_NAB_id_24_Synthetic_tr_1007_1st_2787.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 025_NAB_id_25_WebService_tr_3958_1st_4614.csv, best hyperparameter: {'periodicity': 3, 'power': 7}\n",
+      "File: 026_NAB_id_26_Traffic_tr_624_1st_2261.csv, best hyperparameter: {'periodicity': 3, 'power': 7}\n",
+      "File: 027_NAB_id_27_Facility_tr_757_1st_2582.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 028_NAB_id_28_Facility_tr_1007_1st_3447.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 032_WSD_id_4_WebService_tr_4559_1st_11822.csv, best hyperparameter: {'periodicity': 1, 'power': 4}\n",
+      "File: 033_WSD_id_5_WebService_tr_4559_1st_12588.csv, best hyperparameter: {'periodicity': 2, 'power': 4}\n",
+      "File: 038_WSD_id_10_WebService_tr_4042_1st_4142.csv, best hyperparameter: {'periodicity': 2, 'power': 1}\n",
+      "File: 039_WSD_id_11_WebService_tr_1746_1st_1846.csv, best hyperparameter: {'periodicity': 2, 'power': 1}\n",
+      "File: 040_WSD_id_12_WebService_tr_4559_1st_9714.csv, best hyperparameter: {'periodicity': 3, 'power': 7}\n",
+      "File: 043_WSD_id_15_WebService_tr_4521_1st_6828.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 045_WSD_id_17_WebService_tr_2566_1st_2666.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 049_WSD_id_21_WebService_tr_4297_1st_7097.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 053_WSD_id_25_WebService_tr_4559_1st_9198.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 054_WSD_id_26_WebService_tr_2409_1st_2509.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 058_WSD_id_30_WebService_tr_1136_1st_1236.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 060_WSD_id_32_WebService_tr_4576_1st_4766.csv, best hyperparameter: {'periodicity': 1, 'power': 4}\n",
+      "File: 068_WSD_id_40_WebService_tr_4549_1st_13322.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 070_WSD_id_42_WebService_tr_2102_1st_2202.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 074_WSD_id_46_WebService_tr_990_1st_1090.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 089_WSD_id_61_WebService_tr_1010_1st_1110.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 094_WSD_id_66_WebService_tr_3309_1st_3914.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 099_WSD_id_71_WebService_tr_4559_1st_14411.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 106_WSD_id_78_WebService_tr_3363_1st_3463.csv, best hyperparameter: {'periodicity': 3, 'power': 1}\n",
+      "File: 113_WSD_id_85_WebService_tr_500_1st_335.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n",
+      "File: 117_WSD_id_89_WebService_tr_3251_1st_3351.csv, best hyperparameter: {'periodicity': 1, 'power': 1}\n",
+      "File: 125_WSD_id_97_WebService_tr_2217_1st_2317.csv, best hyperparameter: {'periodicity': 1, 'power': 5}\n",
+      "File: 130_WSD_id_102_WebService_tr_2362_1st_2462.csv, best hyperparameter: {'periodicity': 1, 'power': 2}\n",
+      "File: 137_WSD_id_109_WebService_tr_4559_1st_14404.csv, best hyperparameter: {'periodicity': 1, 'power': 7}\n"
      ]
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Job done. Duration: 0.842 seconds\n",
-      "Ergebnisse gespeichert in: ../../../docs/evaluation/POLY.csv\n"
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[4], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrun_POLY\u001b[49m\u001b[43m,\u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mPOLY\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mdata_folders\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../../../data/\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43munsupervised\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../../../docs/evaluation/\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mc:\\Users\\desiw\\Desktop\\data-mining\\src\\run_model_wrapper.py:283\u001b[0m, in \u001b[0;36mmain\u001b[1;34m(run_model, hyperparams, model_name, data_folders, model_type, output_dir)\u001b[0m\n\u001b[0;32m    280\u001b[0m sliding_window \u001b[38;5;241m=\u001b[39m time_series[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msliding_window\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m    282\u001b[0m \u001b[38;5;66;03m# Hyperparameter-Optimierung\u001b[39;00m\n\u001b[1;32m--> 283\u001b[0m best_params \u001b[38;5;241m=\u001b[39m \u001b[43mhyperparameter_optimization\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrun_model\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43mtrain_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhyperparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43msliding_window\u001b[49m\u001b[43m,\u001b[49m\u001b[43mmodel_type\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    284\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilename\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, best hyperparameter: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mbest_params\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    285\u001b[0m \u001b[38;5;66;03m#grid_list looks like this: [{ params: {key:value}, file_name:str,train_data:list,data:list, label:list, sliding_window:int}]\u001b[39;00m\n",
+      "File \u001b[1;32mc:\\Users\\desiw\\Desktop\\data-mining\\src\\run_model_wrapper.py:86\u001b[0m, in \u001b[0;36mhyperparameter_optimization\u001b[1;34m(run_model, data, label, train_data, hyperparams, slidingWindow, model_type)\u001b[0m\n\u001b[0;32m     69\u001b[0m     scores \u001b[38;5;241m=\u001b[39m run_model(train_data, data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mparams)\n\u001b[0;32m     71\u001b[0m \u001b[38;5;66;03m#function from autors creates from scores the evaluation: returns\u001b[39;00m\n\u001b[0;32m     72\u001b[0m \u001b[38;5;66;03m# '''{\u001b[39;00m\n\u001b[0;32m     73\u001b[0m \u001b[38;5;66;03m#     'AUC-PR':float,\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     83\u001b[0m \u001b[38;5;66;03m#     'Recall': float\u001b[39;00m\n\u001b[0;32m     84\u001b[0m \u001b[38;5;66;03m# }'''\u001b[39;00m\n\u001b[1;32m---> 86\u001b[0m metrics \u001b[38;5;241m=\u001b[39m \u001b[43mget_metrics\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscores\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mslidingWindow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mslidingWindow\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     87\u001b[0m auc_pr \u001b[38;5;241m=\u001b[39m metrics\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAUC-PR\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0\u001b[39m)\u001b[38;5;66;03m# get value from auc-pr\u001b[39;00m\n\u001b[0;32m     89\u001b[0m \u001b[38;5;66;03m#check if score is better as best score\u001b[39;00m\n",
+      "File \u001b[1;32mc:\\Users\\desiw\\Desktop\\data-mining\\src\\evaluation.py:823\u001b[0m, in \u001b[0;36mget_metrics\u001b[1;34m(score, labels, slidingWindow, pred, version, thre)\u001b[0m\n\u001b[0;32m    820\u001b[0m AUC_PR \u001b[38;5;241m=\u001b[39m grader\u001b[38;5;241m.\u001b[39mmetric_PR(labels, score)\n\u001b[0;32m    822\u001b[0m \u001b[38;5;66;03m# R_AUC_ROC, R_AUC_PR, _, _, _ = grader.RangeAUC(labels=labels, score=score, window=slidingWindow, plot_ROC=True)\u001b[39;00m\n\u001b[1;32m--> 823\u001b[0m _, _, _, _, _, _,VUS_ROC, VUS_PR \u001b[38;5;241m=\u001b[39m \u001b[43mgenerate_curve\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mslidingWindow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mversion\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mthre\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    826\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    827\u001b[0m \u001b[38;5;124;03mThreshold Dependent\u001b[39;00m\n\u001b[0;32m    828\u001b[0m \u001b[38;5;124;03mif pred is None --> use the oracle threshold\u001b[39;00m\n\u001b[0;32m    829\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    831\u001b[0m PointF1 \u001b[38;5;241m=\u001b[39m grader\u001b[38;5;241m.\u001b[39mmetric_PointF1(labels, score, preds\u001b[38;5;241m=\u001b[39mpred)\n",
+      "File \u001b[1;32mc:\\Users\\desiw\\Desktop\\data-mining\\src\\evaluation.py:20\u001b[0m, in \u001b[0;36mgenerate_curve\u001b[1;34m(label, score, slidingWindow, version, thre)\u001b[0m\n\u001b[0;32m     18\u001b[0m     tpr_3d, fpr_3d, prec_3d, window_3d, avg_auc_3d, avg_ap_3d \u001b[38;5;241m=\u001b[39m basic_metricor()\u001b[38;5;241m.\u001b[39mRangeAUC_volume_opt_mem(labels_original\u001b[38;5;241m=\u001b[39mlabel, score\u001b[38;5;241m=\u001b[39mscore, windowSize\u001b[38;5;241m=\u001b[39mslidingWindow, thre\u001b[38;5;241m=\u001b[39mthre)\n\u001b[0;32m     19\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 20\u001b[0m     tpr_3d, fpr_3d, prec_3d, window_3d, avg_auc_3d, avg_ap_3d \u001b[38;5;241m=\u001b[39m \u001b[43mbasic_metricor\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mRangeAUC_volume_opt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels_original\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwindowSize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mslidingWindow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mthre\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mthre\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     23\u001b[0m X \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(tpr_3d)\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39mravel()\n\u001b[0;32m     24\u001b[0m X_ap \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(tpr_3d)[:,:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39mravel()\n",
+      "File \u001b[1;32mc:\\Users\\desiw\\Desktop\\data-mining\\src\\evaluation.py:642\u001b[0m, in \u001b[0;36mbasic_metricor.RangeAUC_volume_opt\u001b[1;34m(self, labels_original, score, windowSize, thre)\u001b[0m\n\u001b[0;32m    640\u001b[0m N_labels \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m    641\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m seg \u001b[38;5;129;01min\u001b[39;00m l:\n\u001b[1;32m--> 642\u001b[0m     TP \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m[\u001b[49m\u001b[43mseg\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m:\u001b[49m\u001b[43mseg\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpred\u001b[49m\u001b[43m[\u001b[49m\u001b[43mseg\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m:\u001b[49m\u001b[43mseg\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    643\u001b[0m     N_labels \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(labels[seg[\u001b[38;5;241m0\u001b[39m]:seg[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m    645\u001b[0m TP \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m tp[j]\n",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
    ],
    "source": [
+    "\n",
     "main(run_POLY,params,'POLY',data_folders = '../../../data/', model_type='unsupervised',output_dir = '../../../docs/evaluation/')"
    ]
   },
@@ -1803,9 +145,41 @@
    "outputs": [],
    "source": [
     "import pandas as pd\n",
+    "import os\n",
+    "data_empty = {\n",
+    "    'params':[],\n",
+    "    'file_name': [],\n",
+    "    'duration': [],\n",
+    "    'group': [],\n",
+    "    'point anomaly': [],\n",
+    "    'seq anomaly': [],\n",
+    "    'AUC-PR': [],\n",
+    "    'AUC-ROC': [],\n",
+    "    'VUS-PR': [],\n",
+    "    'VUS-ROC': [],\n",
+    "    'Standard-F1': [],\n",
+    "    'PA-F1': [],\n",
+    "    'Event-based-F1': [],\n",
+    "    'R-based-F1': [],\n",
+    "    'Affiliation-F': [],\n",
+    "    'Recall': [],\n",
+    "    'Precision': []\n",
+    "}\n",
+    "\n",
+    "df = pd.DataFrame(data_empty)\n",
     "\n",
-    "path = '../../../docs/evaluation/POLY.csv'\n",
-    "df = pd.read_csv(path)"
+    "path = '../../../docs/evaluation/'\n",
+    "model = 'POLY'\n",
+    "#concant all batch-files to big one\n",
+    "for file in os.listdir(path):\n",
+    "    file_path = os.path.join(path,file_path)\n",
+    "    #check if current file belongs to selected model and avoid overwriting existing model.csv data\n",
+    "    if file.startswith(model) and file.split('.')[0] != model:\n",
+    "        df_batch = pd.read_csv(file_path)\n",
+    "        #join with dataframe with all data\n",
+    "        df = pd.concat(df,df_batch)\n",
+    "\n",
+    "df.shape"
    ]
   },
   {
@@ -1906,7 +280,10 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "output_path = '../../../docs/evaluation/'\n",
+    "df.to_csv(output_path+model+'.csv')"
+   ]
   }
  ],
  "metadata": {
diff --git a/src/run_model_wrapper.py b/src/run_model_wrapper.py
index b4f3b81..5211a91 100644
--- a/src/run_model_wrapper.py
+++ b/src/run_model_wrapper.py
@@ -12,6 +12,9 @@ import time
 import torch
 import numpy as np
 import random
+import time #to cool down processes before continuing
+import warnings 
+from sklearn.exceptions import UndefinedMetricWarning #ignore warnings
 
 # seeding
 seed = 2024
@@ -45,6 +48,9 @@ Semisupervise_AD_Pool = ['SAND','OCSVM','AutoEncoder', 'CNN', 'LSTMAD', 'USAD',
 '''
 
 def hyperparameter_optimization(run_model, data,label,train_data, hyperparams,slidingWindow, model_type = 'unsupervised'):
+    #ignore warnings for hyperparameter tuning
+    warnings.simplefilter("ignore", category=UndefinedMetricWarning)
+    warnings.simplefilter("ignore", category=np.RankWarning)
     best_params = None
     best_score = float("-inf")
 
@@ -256,38 +262,41 @@ def main(run_model, hyperparams, model_name, data_folders = '../../../data/', mo
     path_data_all = data_folders + 'train/all'
     path_to_folder = data_folders + 'train/'
 
-    #go through all files in train data and store additionally informations about group and anomaly types
-    grid_List = []
-    print(f"Start Processing files")
-    #reutrns [{file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
-    file_data_dict_list = preprocess_data(path_data_all)     
+    for folder in os.listdir(path_data_all):
+        #go through all files in train data and store additionally informations about group and anomaly types
+        grid_List = []
+        print(f"Start Processing files")
+        #reutrns [{file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
+        path = os.path.join(path_data_all,folder)
+        file_data_dict_list = preprocess_data(path)     
 
-    print('Start Hyperparameter Tuning')
-    #find hyperparametrs for each file:
-    for time_series in file_data_dict_list:
-        filename = time_series['file_name']
-        data = time_series['data']
-        train_data = time_series['train_data']
-        label = time_series['label']
-        sliding_window = time_series['sliding_window']
+        print('Start Hyperparameter Tuning')
+        #find hyperparametrs for each file:
+        for time_series in file_data_dict_list:
+            filename = time_series['file_name']
+            data = time_series['data']
+            train_data = time_series['train_data']
+            label = time_series['label']
+            sliding_window = time_series['sliding_window']
 
-        # Hyperparameter-Optimierung
-        best_params = hyperparameter_optimization(run_model, data,label,train_data, hyperparams,sliding_window,model_type)
-        print(f"File: {filename}, best hyperparameter: {best_params}")
-        #grid_list looks like this: [{ params: {key:value}, file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
-        grid_List.append({'file_name':filename,'params':best_params,'train_data':train_data,'data':data,'label':label,'sliding_window':sliding_window})
+            # Hyperparameter-Optimierung
+            best_params = hyperparameter_optimization(run_model, data,label,train_data, hyperparams,sliding_window,model_type)
+            print(f"File: {filename}, best hyperparameter: {best_params}")
+            #grid_list looks like this: [{ params: {key:value}, file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
+            grid_List.append({'file_name':filename,'params':best_params,'train_data':train_data,'data':data,'label':label,'sliding_window':sliding_window})
 
-    print('Start Training and evaluation')
-    results_list = train_test_model(run_model,grid_List,path_to_folder, model_type)
-    #convert list of dicts to a dict with lists
-    results = create_dict_from_array(results_list)
+        print('Start Training and evaluation')
+        results_list = train_test_model(run_model,grid_List,path_to_folder, model_type)
+        #convert list of dicts to a dict with lists
+        results = create_dict_from_array(results_list)
 
-    #check duration time
-    duration = sum(results['duration'])
-    print(f'Job done. Duration: {duration:.3f} seconds')
+        #check duration time
+        duration = sum(results['duration'])
+        print(f'Job done. Duration: {duration:.3f} seconds')
 
-    #store results for each model by folder 
-    results_df = pd.DataFrame(results)
-    output_csv = os.path.join(output_dir,model_name + '.csv')
-    results_df.to_csv(output_csv, index=False)
-    print(f"Ergebnisse gespeichert in: {output_csv}")
\ No newline at end of file
+        #store results for each model by folder 
+        results_df = pd.DataFrame(results)
+        output_csv = os.path.join(output_dir,model_name + folder + '.csv')
+        results_df.to_csv(output_csv, index=False)
+        print(f"Ergebnisse gespeichert in: {output_csv}")
+        time.sleep(10)
-- 
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