fix the notebook

notebooks/octopus_showcase.ipynb

@@ -1,19 +1,8 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "toc": true
-   },
-   "source": [
-    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
-    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#EDA-and-pre-processing\" data-toc-modified-id=\"EDA-and-pre-processing-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>EDA and pre-processing</a></span><ul class=\"toc-item\"><li><span><a href=\"#Descriptive-statistics-(data-shape,-balance,-etc)\" data-toc-modified-id=\"Descriptive-statistics-(data-shape,-balance,-etc)-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Descriptive statistics (data shape, balance, etc)</a></span></li><li><span><a href=\"#Data-pre-processing\" data-toc-modified-id=\"Data-pre-processing-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Data pre-processing</a></span></li></ul></li><li><span><a href=\"#ML-template-starts---training-session\" data-toc-modified-id=\"ML-template-starts---training-session-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>ML template starts - training session</a></span><ul class=\"toc-item\"><li><span><a href=\"#Training-model-(LGBM)-with-stratisfied-CV\" data-toc-modified-id=\"Training-model-(LGBM)-with-stratisfied-CV-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Training model (LGBM) with stratisfied CV</a></span></li></ul></li><li><span><a href=\"#Model-evaluation\" data-toc-modified-id=\"Model-evaluation-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Model evaluation</a></span><ul class=\"toc-item\"><li><span><a href=\"#Plot-of-the-CV-folds---F1-macro-and-F1-for-the-positive-class\" data-toc-modified-id=\"Plot-of-the-CV-folds---F1-macro-and-F1-for-the-positive-class-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>Plot of the CV folds - F1 macro and F1 for the positive class</a></span></li><li><span><a href=\"#Scikit-learn---Classification-report\" data-toc-modified-id=\"Scikit-learn---Classification-report-3.2\"><span class=\"toc-item-num\">3.2&nbsp;&nbsp;</span>Scikit learn - Classification report</a></span></li><li><span><a href=\"#ROC-curve-with-AUC\" data-toc-modified-id=\"ROC-curve-with-AUC-3.3\"><span class=\"toc-item-num\">3.3&nbsp;&nbsp;</span>ROC curve with AUC</a></span></li><li><span><a href=\"#Confusion-Matrix-plot-(normalized-and-with-absolute-values)\" data-toc-modified-id=\"Confusion-Matrix-plot-(normalized-and-with-absolute-values)-3.4\"><span class=\"toc-item-num\">3.4&nbsp;&nbsp;</span>Confusion Matrix plot (normalized and with absolute values)</a></span></li><li><span><a href=\"#Feature-Importance-plot\" data-toc-modified-id=\"Feature-Importance-plot-3.5\"><span class=\"toc-item-num\">3.5&nbsp;&nbsp;</span>Feature Importance plot</a></span></li><li><span><a href=\"#Correlations-analysis-(on-top-features)\" data-toc-modified-id=\"Correlations-analysis-(on-top-features)-3.6\"><span class=\"toc-item-num\">3.6&nbsp;&nbsp;</span>Correlations analysis (on top features)</a></span></li><li><span><a href=\"#Anomaly-detection-on-the-training-set-(on-top-features-alone)\" data-toc-modified-id=\"Anomaly-detection-on-the-training-set-(on-top-features-alone)-3.7\"><span class=\"toc-item-num\">3.7&nbsp;&nbsp;</span>Anomaly detection on the training set (on top features alone)</a></span></li><li><span><a href=\"#Data-leakage-test\" data-toc-modified-id=\"Data-leakage-test-3.8\"><span class=\"toc-item-num\">3.8&nbsp;&nbsp;</span>Data leakage test</a></span></li>\n",
-    "<li><span><a href=\"##-Analysis-of-FPs/FNs\" data-toc-modified-id=\"##-Analysis-of-FPs/FNs\"><span class=\"toc-item-num\">3.9&nbsp;&nbsp;</span>Analysis of FPs/FNs</a></span></li></ul></li></ul></div>"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 102,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2020-12-15T06:57:35.530610Z",