Q1.What is the name of the method for building decision trees in Scikit-learn .(CHOOSE RIGHT ANSWER)

1. DecisionTreeClassifier
2. DecisionTreeRegressor
3. Both of the above are correct
4. None of the above

Q.2.Below is the dataset [0,0,0,1,1,1,1,1] What is the initial entropy for this dataset? (CHOOSE RIGHT ANSWER)

1. -(5/8 log (5/8) + 3/8 log (3/8))
2. 5/8 log (5/8) + 3/8 log (3/8)
3. 3/8 log (5/8) + 5/8 log (3/8)
4. 5/8 log (3/8) - 3/8 log (5/8)

Q3.How to choose an attribute to split in a decision tree algorithm? (CHOOSE RIGHT ANSWER)

1. You choose the attribute with the highest infoGain
2. You select the attribute with the smallest infoGain
3. You choose the attribute where the conditional entropy is maximum
4. You select an attribute where the conditional entropy is higher than the base entropy