Branch-AI/one_exercise_per_file/week02/day02/ex06/audit/readme.md

1. This question is validated if each classifier has as input a binary data as below:

def train(X_train, y_train):
       clf = LogisticRegression()
       clf1 = LogisticRegression()
       clf2 = LogisticRegression()
       
       clf.fit(X_train, y_train == 0)
       clf1.fit(X_train, y_train == 1)
       clf2.fit(X_train, y_train == 2)
       
       return clf, clf1, clf2

2. This question is validated if the predicted classes on the test set are:

array([0, 0, 2, 1, 2, 0, 2, 1, 1, 1, 0, 1, 2, 0, 1, 1, 0, 0, 2, 2, 0, 0,
       0, 2, 2, 2, 0, 1, 0, 0])

Even if I had this warning ConvergenceWarning: lbfgs failed to converge (status=1): I noticed that LogisticRegression returns the same output.