aiacademy: 機器學習 - 實作: ch08 (practical concers)

github-aiacademy

Model Parameters Selection

Grid Search Cross Validation

• Gride Search for SVM Parameters

   from sklearn.model_selection import GridSearchCV
   parameters= {'kernel':['linear', 'rbf'], 'C':[0.01,0.1,1,10], 'gamma':[0.01,0.1,1,10]}
   model = svm.SVC()
   model.fit(X, y)
   best_model = GridSearchCV(model, parameters, cv=5, scoring='accuracy',    return_train_score='cv_results_')
   best_model.fit(X, y)