Table 3 All models used optimized hyperparameters.
From: Brain tumor detection with real-world predictions in Jordan hospitals
Algorithm | Hyperparameters |
|---|---|
Neural Network | Layers: [256, 128, 64], ReLU, Dropout = 0.3, Adam(lr = 0.001), epochs = 150 |
SVM | kernel=’rbf’, C = 10, gamma = 0.01 |
Random Forest | n_estimators = 200, max_depth = 15, min_samples_leaf = 2 |
k-NN | n_neighbors = 7, weights=’distance’ |
AdaBoost | n_estimators = 200, learning_rate = 0.8 |
Decision Tree | max_depth = 10, min_samples_split = 5 |
Logistic Reg | solver=’lbfgs’, max_iter = 1000, C = 0.1 |
