tuned_hyperparams.json

{
  "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
  }
}