Created using Colaboratory

woodRock · Feb 27, 2024 · 50ebba9 · 50ebba9
1 parent 81f6534
commit 50ebba9
Showing 1 changed file with 26 additions and 24 deletions.
diff --git a/code/identification/part/R01_S02_Identification_Part_Wrapper_Based_Multi_Tree_GP.ipynb b/code/identification/part/R01_S02_Identification_Part_Wrapper_Based_Multi_Tree_GP.ipynb
@@ -1589,44 +1589,45 @@
     {
       "cell_type": "code",
       "source": [
-        "evaluate_classification(hof[5], verbose=True)"
+        "evaluate_classification(hof[0], verbose=True)"
       ],
       "metadata": {
-        "id": "Bf5CtPl1OmD2",
-        "outputId": "a3e5e51a-2a39-4ffe-9fdc-4963f3fb0d66",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "Bf5CtPl1OmD2",
+        "outputId": "e586caa8-0e2c-4815-8760-c63de84ffa10"
       },
-      "execution_count": 93,
+      "execution_count": 113,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Train accuracy: 0.75, Validation accuracy: 0.25, Test accuracy: 0.625\n",
-            "Train intra-class: 0.01010067071847364, Val intra-class: 0.040860701995226026\n",
-            "Train inter-class: 0.030589506073171104, Val inter-class: 0.02462512581591685\n"
+            "Train accuracy: 1.0, Validation accuracy: 1.0, Test accuracy: 0.75\n",
+            "Train intra-class: 0.020913951056888987, Val intra-class: 0.003623208743376263\n",
+            "Train inter-class: 0.02345620832973173, Val inter-class: 0.04916539597760036\n"
           ]
         },
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "(0.4997873370412306,)"
+              "(0.9024042222253533,)"
             ]
           },
           "metadata": {},
-          "execution_count": 93
+          "execution_count": 113
         }
       ]
     },
     {
       "cell_type": "code",
       "source": [
-        "X_train, X_temp, y_train, y_temp = train_test_split(X, y, stratify=y, test_size=0.66, random_state=42)\n",
-        "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, stratify=y_temp, test_size=0.5, random_state=42)\n",
-        "# X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
+        "train_split = 0.66\n",
+        "X_train, X_temp, y_train, y_temp = train_test_split(X, y, stratify=y, test_size=(1-train_split), random_state=42)\n",
+        "# X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, stratify=y_temp, test_size=0.5, random_state=42)\n",
+        "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
         "\n",
         "\n",
         "# print(f\"np.unique(y_train): {np.unique(y_train)}\\n np.unique(y_val): {np.unique(y_val)} \\n np.unique(y_test): {np.unique(y_test)}\")\n",
@@ -1647,29 +1648,29 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "SZrI3MjywK_K",
-        "outputId": "16635906-f567-4792-f9a7-2234295c7c5d"
+        "outputId": "3d9076a0-138a-4be1-ed83-1a72dbf7ada2"
       },
-      "execution_count": 87,
+      "execution_count": 114,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
             "train: [0. 1. 2. 3. 4. 5.]\n",
-            "Class Counts: [2 2 1 2 2 1], Class Ratios: [0.06666667 0.06666667 0.03333333 0.06666667 0.06666667 0.03333333]\n",
+            "Class Counts: [4 4 2 4 3 2], Class Ratios: [0.13333333 0.13333333 0.06666667 0.13333333 0.1        0.06666667]\n",
             "Number of features: 1023\n",
             "Number of instances: 30\n",
             "Number of classes 6.\n",
-            "val: [0. 1. 2. 3. 4. 5.]\n",
-            "Class Counts: [2 2 1 2 2 1], Class Ratios: [0.06666667 0.06666667 0.03333333 0.06666667 0.06666667 0.03333333]\n",
+            "val: [0. 2. 3. 4.]\n",
+            "Class Counts: [2 1 1 1], Class Ratios: [0.06666667 0.03333333 0.03333333 0.03333333]\n",
             "Number of features: 1023\n",
             "Number of instances: 30\n",
-            "Number of classes 6.\n",
-            "test: [0. 1. 2. 3. 4. 5.]\n",
-            "Class Counts: [2 2 1 2 2 1], Class Ratios: [0.06666667 0.06666667 0.03333333 0.06666667 0.06666667 0.03333333]\n",
+            "Number of classes 4.\n",
+            "test: [1. 3. 4. 5.]\n",
+            "Class Counts: [2 1 2 1], Class Ratios: [0.06666667 0.03333333 0.06666667 0.03333333]\n",
             "Number of features: 1023\n",
             "Number of instances: 30\n",
-            "Number of classes 6.\n"
+            "Number of classes 4.\n"
           ]
         }
       ]
@@ -1685,7 +1686,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 115,
       "metadata": {
         "id": "pEqouLDs4xBJ"
       },
@@ -1720,6 +1721,7 @@
         "\n",
         "| Date | Title | Description | Update |\n",
         "| --- | --- | --- | ---- |\n",
+        "| 2024-02-27 16:31 | Fix fitness | Fixed fitness function to penalize intra-class distance <br> and reward inter-class distance. |\n",
         "| 2024-02-26 15:59 | Intra/inter | Updated fitness value to include a normalized sum of <br> intraclass and interclass distance |\n",
         "| 2024-02-14 16:56 | Mass spectra | Applications for MT-GP for rapid mass spectrometry dataset. | |\n",
         "| 2022-08-21 17:30 | Multi-Objective - Onehot Encoding | Change to multi-objective problem, one-vs-all with a tree classifier for each class.<br> Y labels are encoded in onehot encodings, error is absolute difference between $|\\hat{y} - y|$|\n",
@@ -1749,7 +1751,7 @@
       "machine_shape": "hm",
       "provenance": [],
       "mount_file_id": "1Yg4t38NHSYPAlu_099cQeOR-qSwIaaTl",
-      "authorship_tag": "ABX9TyP6O28Yu8hU6dhjCcl2cFFD",
+      "authorship_tag": "ABX9TyN62J1TwVCMTDGBsq91KjUA",
       "include_colab_link": true
     },
     "gpuClass": "standard",