removing f-strings

Author: nsteins

Notebooks/Model Evaluation.ipynb

@@ -252,24 +252,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Logistic Regression: 167.08\n",
-      "LSTM 1: 170.38\n",
-      "LSTM 3: 161.46\n"
+      "Logistic Regression: 0.92\n",
+      "LSTM 1: 0.94\n",
+      "LSTM 3: 0.93\n"
      ]
     }
    ],
    "source": [
-    "from sklearn.metrics import auc\n",
-    "print(f'Logistic Regression: {auc(y, p1):0.2f}')\n",
-    "print(f'LSTM 1: {auc(y, p2):0.2f}')\n",
-    "print(f'LSTM 3: {auc(y, p3):0.2f}')"
+    "from sklearn.metrics import roc_auc_score\n",
+    "print(f'Logistic Regression: {roc_auc_score(y, p1):0.2f}')\n",
+    "print(f'LSTM 1: {roc_auc_score(y, p2):0.2f}')\n",
+    "print(f'LSTM 3: {roc_auc_score(y, p3):0.2f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Logistic Regression: 0.86\n",
+      "LSTM 1: 0.87\n",
+      "LSTM 3: 0.88\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import accuracy_score\n",
+    "print(f'Logistic Regression: {accuracy_score(y, p1>0.6):0.2f}')\n",
+    "print(f'LSTM 1: {accuracy_score(y, p2>0.6):0.2f}')\n",
+    "print(f'LSTM 3: {accuracy_score(y, p3>0.6):0.2f}')"
    ]
   },
   {