Classification using Sklearn

• Generalized → SGDClassifier
• Specialized → Logistic Regression, Decision tree, SVM

General things

• fit ( X, y[ coef_init, intercept_init , …)

• predict ( X_test)

• decision_function(X) → predict confidence scores for samples

• score (X, y) → return the mean accuracy on the given test data and labels

• get_params([deep]) - gets parameter for the estimator

• set_params(** params) - sets the parameter for the estimator

• densify - converts coefficient matrix to dense array format

• sparsify - convert coefficient matrix to sparse format

Ridge Classifier

• classifier variant of Ridge regression

Binary Classification

• uses $\alpha$ as a regularizer