Question 28
Consider the following block of code and mark the correct option.
from sklearn.datasets import load_breast_cancerfrom sklearn.tree import DecisionTreeClassifierfrom sklearn.model_selection import train_test_splitX,y = load_breast_cancer(as_frame = True, return_X_y = True)X_train,X_test,y_train,y_test = train_test_split(X, y, test_size = 0.2, random_state = 1)clf = DecisionTreeClassifier(min_samples_split = 5, random_state = 5)clf.fit(X_train, y_train)print(clf.score(X_test, y_test))The minimum number of samples required to split a leaf node is 5.
The minimum number of samples required to split an internal node is 6.
The minimum number of samples required to be at a leaf node is 4.
The minimum number of samples required to split an internal node is 5.