fix cyfi445 lab 7

CYFI445/lectures/05_binary_classification_1_to_1/0_binary_classification.ipynb

@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 1,
    "id": "5eedde1f",
    "metadata": {},
    "outputs": [
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 2,
    "id": "c6fcc605",
    "metadata": {},
    "outputs": [
@@ -126,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 3,
    "id": "a899d7d6",
    "metadata": {},
    "outputs": [
@@ -188,14 +188,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 4,
    "id": "84f1138d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5caef5ee08fb4e60a2b82fc83afbdd6f",
+       "model_id": "1fc20f3c750c45d6a8c7eb4998fd12ab",
        "version_major": 2,
        "version_minor": 0
       },
@@ -212,7 +212,7 @@
        "<function __main__.plot_neuron(w=2.0, b=-10.0)>"
       ]
      },
-     "execution_count": 139,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -284,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 5,
    "id": "e347fec9",
    "metadata": {},
    "outputs": [
@@ -354,7 +354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 6,
    "id": "326de3e1",
    "metadata": {},
    "outputs": [
@@ -362,16 +362,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch [10000/40000], Loss: 0.1517\n",
-      "Epoch [20000/40000], Loss: 0.1120\n",
-      "Epoch [30000/40000], Loss: 0.0940\n",
-      "Epoch [40000/40000], Loss: 0.0829\n",
+      "Epoch [10000/40000], Loss: 0.1531\n",
+      "Epoch [20000/40000], Loss: 0.1125\n",
+      "Epoch [30000/40000], Loss: 0.0943\n",
+      "Epoch [40000/40000], Loss: 0.0831\n",
       "\n",
-      "Model Parameters: w = 1.8337, b = -9.9123\n",
+      "Model Parameters: w = 1.8303, b = -9.8934\n",
       "\n",
       "Tumor Sizes: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
       "True Labels: [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]\n",
-      "Predicted Probabilities: [0.0003099874884355813, 0.0019363445462659001, 0.01199304684996605, 0.07058683782815933, 0.3221176862716675, 0.74830561876297, 0.9489838480949402, 0.9914809465408325, 0.9986286163330078, 0.9997805953025818]\n",
+      "Predicted Probabilities: [0.0003148354298900813, 0.0019599415827542543, 0.012097183614969254, 0.07093961536884308, 0.3225499391555786, 0.7480406165122986, 0.9487512111663818, 0.9914116859436035, 0.998612642288208, 0.9997772574424744]\n",
       "Predicted Labels: [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0]\n"
      ]
     }
@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 7,
    "id": "de9d2f63",
    "metadata": {},
    "outputs": [
@@ -457,7 +457,7 @@
      "text": [
       "\n",
       "Unseen Tumor Size: 5.5\n",
-      "Predicted Probability of Malignancy: 0.5431\n",
+      "Predicted Probability of Malignancy: 0.5432\n",
       "Predicted Label: 1.0 (Malignant)\n"
      ]
     }