Improved CV plotting

.gitignore

@@ -162,4 +162,6 @@ cython_debug/
 
 # Custom files
 
-data/uniprot2embedding.h5
+data/uniprot2embedding.h5
+logs/
+notebooks/per-protein*

notebooks/protac_degradation_predictor.ipynb

@@ -8745,6 +8745,166 @@
     "### CV Plotting"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "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>val_inactive_perc</th>\n",
+       "      <th>val_acc</th>\n",
+       "      <th>val_roc_auc</th>\n",
+       "      <th>test_inactive_perc</th>\n",
+       "      <th>test_acc</th>\n",
+       "      <th>test_roc_auc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>group_type</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>random</th>\n",
+       "      <td>0.740</td>\n",
+       "      <td>0.834</td>\n",
+       "      <td>0.903</td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0.846</td>\n",
+       "      <td>0.050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tanimoto</th>\n",
+       "      <td>0.753</td>\n",
+       "      <td>0.774</td>\n",
+       "      <td>0.784</td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0.892</td>\n",
+       "      <td>0.117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>uniprot</th>\n",
+       "      <td>0.705</td>\n",
+       "      <td>0.658</td>\n",
+       "      <td>0.626</td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0.862</td>\n",
+       "      <td>0.100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            val_inactive_perc  val_acc  val_roc_auc  test_inactive_perc  \\\n",
+       "group_type                                                                \n",
+       "random                  0.740    0.834        0.903               0.923   \n",
+       "tanimoto                0.753    0.774        0.784               0.923   \n",
+       "uniprot                 0.705    0.658        0.626               0.923   \n",
+       "\n",
+       "            test_acc  test_roc_auc  \n",
+       "group_type                          \n",
+       "random         0.846         0.050  \n",
+       "tanimoto       0.892         0.117  \n",
+       "uniprot        0.862         0.100  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "report = pd.read_csv('../reports/cv_report_5-splits.csv')\n",
+    "report.groupby('group_type').mean().round(3)[['val_inactive_perc', 'val_acc', 'val_roc_auc', 'test_inactive_perc', 'test_acc', 'test_roc_auc']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tmp = report.copy()[[\n",
+    "    'fold', 'group_type',\n",
+    "    'val_acc', 'val_roc_auc', 'val_precision', 'val_recall', 'val_f1_score',\n",
+    "    'test_acc', 'test_roc_auc', 'test_precision', 'test_recall', 'test_f1_score',\n",
+    "]]\n",
+    "# Rename columns\n",
+    "tmp.columns = [\n",
+    "    'Fold', 'CV-Groups',\n",
+    "    'Val Accuracy', 'Val ROC AUC', 'Val Precision', 'Val Recall', 'Val F1 score',\n",
+    "    'Test Accuracy', 'Test ROC AUC', 'Test Precision', 'Test Recall', 'Test F1 score',\n",
+    "]\n",
+    "# Plot aggregated mean value of all metrics in one bar plot\n",
+    "tmp = tmp.melt(id_vars=['Fold', 'CV-Groups'], var_name='Metric', value_name='Score')\n",
+    "# Rename elements in 'CV-Groups' column\n",
+    "group2name = {\n",
+    "    'random': 'stratified CV split',\n",
+    "    'uniprot': 'Uniprot-wise CV split',\n",
+    "    'tanimoto': 'Tanimoto-wise CV split',\n",
+    "}\n",
+    "\n",
+    "tmp['CV-Groups'] = tmp['CV-Groups'].map(group2name)\n",
+    "# Draw one horizontal line for each CV-group representing the max value of inactive PROTACs percentage across the folds\n",
+    "for i, group in enumerate(report['group_type'].unique()):\n",
+    "    # plt.axhline(report[report['group_type'] == group]['val_inactive_perc'].max(), color=f'C{i}', linestyle='-.', label=f'Max val inactive (%) for {group2name[group]}')\n",
+    "    plt.axhline(report[report['group_type'] == group]['val_inactive_perc'].mean(), color=f'C{i}', linestyle='--', label=f'Mean val inactive (%) for {group2name[group]}')\n",
+    "plt.axhline(report.test_inactive_perc.max(), color='black', linestyle=':', label='Max test inactive (%)')\n",
+    "\n",
+    "sns.barplot(data=tmp, x='Metric', y='Score', hue='CV-Groups')\n",
+    "\n",
+    "# num_data = len(protac_df[protac_df['Active'].notna()])\n",
+    "plt.title(f'Performance on {n_splits}-fold cross-validation and separate test set')\n",
+    "\n",
+    "plt.grid(axis='y', alpha=0.5)\n",
+    "# Set y-axis to end at 1.0\n",
+    "plt.ylim(0, 1.0)\n",
+    "# Make the y-axis as percentage\n",
+    "plt.gca().yaxis.set_major_formatter(plt.matplotlib.ticker.PercentFormatter(1, decimals=0))\n",
+    "# Plot the legend external on the left side of the plot\n",
+    "plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+    "# Rotate x-axis labels to 90 degrees\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 131,