changed numbers to percentages

CQI_Leaderboard.csv

@@ -1,3 +1,3 @@
 Model,Accuracy,Precision,Recall,F1 Score,Evaluation Time,Overall Score
-Dummy,0.5,0.5,0.5,0.5,0.5,0.5
-Dummy2,0.6,0.6,0.6,0.6,0.6,0.6
+Dummy,51,59,54,52,50,50
+Dummy2,52,60,55,53,51,51

DataProcessing.ipynb

@@ -2,22 +2,22 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "initial_id",
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2024-03-24T11:48:41.895997Z",
-     "start_time": "2024-03-24T11:48:41.863555Z"
+     "end_time": "2024-03-24T13:27:06.474663Z",
+     "start_time": "2024-03-24T13:27:06.433992Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "    Model  Accuracy  Precision  Recall  F1 Score  Evaluation Time  \\\n0   Dummy       0.5        0.5     0.5       0.5              0.5   \n0  Dummy2       0.6        0.6     0.6       0.6              0.6   \n\n   Overall Score  \n0            0.5  \n0            0.6  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Model</th>\n      <th>Accuracy</th>\n      <th>Precision</th>\n      <th>Recall</th>\n      <th>F1 Score</th>\n      <th>Evaluation Time</th>\n      <th>Overall Score</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Dummy</td>\n      <td>0.5</td>\n      <td>0.5</td>\n      <td>0.5</td>\n      <td>0.5</td>\n      <td>0.5</td>\n      <td>0.5</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Dummy2</td>\n      <td>0.6</td>\n      <td>0.6</td>\n      <td>0.6</td>\n      <td>0.6</td>\n      <td>0.6</td>\n      <td>0.6</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "    Model Accuracy Precision Recall F1 Score Evaluation Time Overall Score\n0   Dummy       51        59     54       52              50            50\n0  Dummy2       52        60     55       53              51            51",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Model</th>\n      <th>Accuracy</th>\n      <th>Precision</th>\n      <th>Recall</th>\n      <th>F1 Score</th>\n      <th>Evaluation Time</th>\n      <th>Overall Score</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Dummy</td>\n      <td>51</td>\n      <td>59</td>\n      <td>54</td>\n      <td>52</td>\n      <td>50</td>\n      <td>50</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Dummy2</td>\n      <td>52</td>\n      <td>60</td>\n      <td>55</td>\n      <td>53</td>\n      <td>51</td>\n      <td>51</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -31,10 +31,10 @@
     "model_results = pd.DataFrame(columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'Evaluation Time', 'Overall Score'])\n",
     "\n",
     "# Add dummy data using concat\n",
-    "model_results = pd.concat([model_results, pd.DataFrame([['Dummy', 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]], columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'Evaluation Time', 'Overall Score'])])\n",
+    "model_results = pd.concat([model_results, pd.DataFrame([['Dummy', 51, 59, 54, 52, 50, 50]], columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'Evaluation Time', 'Overall Score'])])\n",
     "\n",
     "# add more dummy data\n",
-    "model_results = pd.concat([model_results, pd.DataFrame([['Dummy2', 0.6, 0.6, 0.6, 0.6, 0.6, 0.6]], columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'Evaluation Time', 'Overall Score'])])\n",
+    "model_results = pd.concat([model_results, pd.DataFrame([['Dummy2', 52, 60, 55, 53, 51, 51]], columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'Evaluation Time', 'Overall Score'])])\n",
     "\n",
     "model_results"
    ]
@@ -49,12 +49,12 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-03-24T11:49:23.687615Z",
-     "start_time": "2024-03-24T11:49:23.602354Z"
+     "end_time": "2024-03-24T13:27:07.540305Z",
+     "start_time": "2024-03-24T13:27:07.535417Z"
     }
    },
    "id": "d6d288e1af91dd1d",
-   "execution_count": 4
+   "execution_count": 6
   },
   {
    "cell_type": "code",