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comparison_results.json

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+[
+  {
+    "Feature Model":"VGG16",
+    "Classifier":"LogisticRegression",
+    "Accuracy":0.8516,
+    "Inference Time":0.0067534447,
+    "Best Params":{
+      "C":0.001
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"VGG16",
+    "Classifier":"LinearSVM",
+    "Accuracy":0.8498,
+    "Inference Time":0.0127418041,
+    "Best Params":{
+      "C":0.1
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"VGG16",
+    "Classifier":"RandomForest",
+    "Accuracy":0.7794,
+    "Inference Time":0.6815769672,
+    "Best Params":{
+      "n_estimators":200,
+      "max_depth":20
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"VGG16",
+    "Classifier":"k-NN",
+    "Accuracy":0.8043,
+    "Inference Time":10.3034477234,
+    "Best Params":{
+      "n_neighbors":7
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"VGG16",
+    "Classifier":"ShallowMLP",
+    "Accuracy":0.8817,
+    "Inference Time":0.1281702518,
+    "Best Params":{
+      "hidden_layer_sizes":[
+        1024
+      ],
+      "alpha":0.001
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"ResNet50",
+    "Classifier":"LogisticRegression",
+    "Accuracy":0.8893,
+    "Inference Time":0.0067608356,
+    "Best Params":{
+      "C":0.001
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"ResNet50",
+    "Classifier":"LinearSVM",
+    "Accuracy":0.8854,
+    "Inference Time":0.1353316307,
+    "Best Params":{
+      "C":0.1
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ResNet50",
+    "Classifier":"RandomForest",
+    "Accuracy":0.8571,
+    "Inference Time":1.0670878887,
+    "Best Params":{
+      "n_estimators":200,
+      "max_depth":20
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ResNet50",
+    "Classifier":"k-NN",
+    "Accuracy":0.868,
+    "Inference Time":9.6203262806,
+    "Best Params":{
+      "n_neighbors":7
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"ResNet50",
+    "Classifier":"ShallowMLP",
+    "Accuracy":0.8997,
+    "Inference Time":0.3128712177,
+    "Best Params":{
+      "hidden_layer_sizes":[
+        512
+      ],
+      "alpha":0.001
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"EfficientNet-B0",
+    "Classifier":"LogisticRegression",
+    "Accuracy":0.9048,
+    "Inference Time":0.0055449009,
+    "Best Params":{
+      "C":0.01
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"EfficientNet-B0",
+    "Classifier":"LinearSVM",
+    "Accuracy":0.9048,
+    "Inference Time":0.0106825829,
+    "Best Params":{
+      "C":0.1
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"EfficientNet-B0",
+    "Classifier":"RandomForest",
+    "Accuracy":0.8747,
+    "Inference Time":0.5598859787,
+    "Best Params":{
+      "n_estimators":200,
+      "max_depth":20
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"EfficientNet-B0",
+    "Classifier":"k-NN",
+    "Accuracy":0.8938,
+    "Inference Time":9.6803927422,
+    "Best Params":{
+      "n_neighbors":7
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"EfficientNet-B0",
+    "Classifier":"ShallowMLP",
+    "Accuracy":0.9217,
+    "Inference Time":0.2081301212,
+    "Best Params":{
+      "hidden_layer_sizes":[
+        512
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+      "alpha":0.001
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ViT",
+    "Classifier":"LogisticRegression",
+    "Accuracy":0.9491,
+    "Inference Time":0.0176355839,
+    "Best Params":{
+      "C":0.01
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ViT",
+    "Classifier":"LinearSVM",
+    "Accuracy":0.9432,
+    "Inference Time":0.0328383446,
+    "Best Params":{
+      "C":0.1
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ViT",
+    "Classifier":"RandomForest",
+    "Accuracy":0.9209,
+    "Inference Time":0.7339730263,
+    "Best Params":{
+      "n_estimators":200,
+      "max_depth":50
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"ViT",
+    "Classifier":"k-NN",
+    "Accuracy":0.9221,
+    "Inference Time":9.2951395512,
+    "Best Params":{
+      "n_neighbors":7
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"ViT",
+    "Classifier":"ShallowMLP",
+    "Accuracy":0.9515,
+    "Inference Time":0.254976511,
+    "Best Params":{
+      "hidden_layer_sizes":[
+        1024
+      ],
+      "alpha":0.001
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"SwinTransformer",
+    "Classifier":"LogisticRegression",
+    "Accuracy":0.9727,
+    "Inference Time":0.1007070541,
+    "Best Params":{
+      "C":0.01
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"SwinTransformer",
+    "Classifier":"LinearSVM",
+    "Accuracy":0.9649,
+    "Inference Time":0.3451607227,
+    "Best Params":{
+      "C":0.1
+    },
+    "PCA":false
+  },
+  {
+    "Feature Model":"SwinTransformer",
+    "Classifier":"RandomForest",
+    "Accuracy":0.9595,
+    "Inference Time":0.515237093,
+    "Best Params":{
+      "n_estimators":200,
+      "max_depth":20
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"SwinTransformer",
+    "Classifier":"k-NN",
+    "Accuracy":0.9673,
+    "Inference Time":9.8216071129,
+    "Best Params":{
+      "n_neighbors":5
+    },
+    "PCA":true
+  },
+  {
+    "Feature Model":"SwinTransformer",
+    "Classifier":"ShallowMLP",
+    "Accuracy":0.9734,
+    "Inference Time":0.1931972504,
+    "Best Params":{
+      "hidden_layer_sizes":[
+        1024
+      ],
+      "alpha":0.0001
+    },
+    "PCA":true
+  }
+]

tuned_hyperparams.json

@@ -0,0 +1,162 @@
+{
+  "ResNet50|LogisticRegression": {
+    "params": {
+      "C": 0.001
+    },
+    "pca": true
+  },
+  "ResNet50|LinearSVM": {
+    "params": {
+      "C": 0.1
+    },
+    "pca": false
+  },
+  "ResNet50|RandomForest": {
+    "params": {
+      "n_estimators": 200,
+      "max_depth": 50
+    },
+    "pca": true
+  },
+  "ResNet50|k-NN": {
+    "params": {
+      "n_neighbors": 7
+    },
+    "pca": true
+  },
+  "ResNet50|ShallowMLP": {
+    "params": {
+      "hidden_layer_sizes": [512],
+      "alpha": 0.001
+    },
+    "pca": false
+  },
+  "VGG16|LogisticRegression": {
+    "params": {
+      "C": 0.001
+    },
+    "pca": true
+  },
+  "VGG16|LinearSVM": {
+    "params": {
+      "C": 0.1
+    },
+    "pca": true
+  },
+  "VGG16|RandomForest": {
+    "params": {
+      "n_estimators": 200,
+      "max_depth": 20
+    },
+    "pca": true
+  },
+  "VGG16|k-NN": {
+    "params": {
+      "n_neighbors": 7
+    },
+    "pca": true
+  },
+  "VGG16|ShallowMLP": {
+    "params": {
+      "hidden_layer_sizes": [1024],
+      "alpha": 0.001
+    },
+    "pca": true
+  },
+  "EfficientNet-B0|LogisticRegression": {
+    "params": {
+      "C": 0.01
+    },
+    "pca": true
+  },
+  "EfficientNet-B0|LinearSVM": {
+    "params": {
+      "C": 0.1
+    },
+    "pca": true
+  },
+  "EfficientNet-B0|RandomForest": {
+    "params": {
+      "n_estimators": 200,
+      "max_depth": 20
+    },
+    "pca": true
+  },
+  "EfficientNet-B0|k-NN": {
+    "params": {
+      "n_neighbors": 7
+    },
+    "pca": true
+  },
+  "EfficientNet-B0|ShallowMLP": {
+    "params": {
+      "hidden_layer_sizes": [512],
+      "alpha": 0.001
+    },
+    "pca": false
+  },
+  "ViT|LogisticRegression": {
+    "params": {
+      "C": 0.01
+    },
+    "pca": false
+  },
+  "ViT|LinearSVM": {
+    "params": {
+      "C": 0.1
+    },
+    "pca": false
+  },
+  "ViT|RandomForest": {
+    "params": {
+      "n_estimators": 200,
+      "max_depth": 50
+    },
+    "pca": false
+  },
+  "ViT|k-NN": {
+    "params": {
+      "n_neighbors": 7
+    },
+    "pca": true
+  },
+  "ViT|ShallowMLP": {
+    "params": {
+      "hidden_layer_sizes": [1024],
+      "alpha": 0.001
+    },
+    "pca": false
+  },
+  "SwinTransformer|LogisticRegression": {
+    "params": {
+      "C": 0.01
+    },
+    "pca": false
+  },
+  "SwinTransformer|LinearSVM": {
+    "params": {
+      "C": 0.1
+    },
+    "pca": false
+  },
+  "SwinTransformer|RandomForest": {
+    "params": {
+      "n_estimators": 200,
+      "max_depth": 20
+    },
+    "pca": true
+  },
+  "SwinTransformer|k-NN": {
+    "params": {
+      "n_neighbors": 5
+    },
+    "pca": true
+  },
+  "SwinTransformer|ShallowMLP": {
+    "params": {
+      "hidden_layer_sizes": [1024],
+      "alpha": 0.0001
+    },
+    "pca": true
+  }
+}