samyumobi

from sklearn.model_selection import train_test_split

# Creating the training and testing data
X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size=0.33)

# Initializing an logistic regression object
clf = LogisticRegression()

# Fit the model to training and test sets
clf.fit(X_train,Y_train)

samyumobi

from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression

X, y = load_iris()
clf = LogisticRegression(random_state = 0).fit(X,y)
clf.predict(X[:2,:])

clf.predict_proba(X[:2,:])

clf.score(X,y)

samyumobi

samyumobi