decision tree

What is a Decision Tree?

• Flow-Chart

• Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

• Flow-Chart & Structure in which internal node represents test on a feature, each branch represents outcome of test and each leaf node represents class label

• None of the mentioned

Decision Trees can be used for regression Tasks

• True

• False

Decision tree usually underfit the data

• True

• False

Decision trees are example of model with high variance.

• True

• False

in a decision tree, If the number of levels is too low i.e. the depth of the tree is too low, the model tends to overfit.

• True

• False

decision tree is computationally cheap for predictions but training the tree can be computationally expensive

• True

• False

In random forests, each tree in the ensemble is built from a different sample drawn with replacement (i.e. a bootstrap sample) from the training set

• True

• False

• Don't know the answer but i like the meme

• Don't know the answer & i'm not a meme person (really?)

It is a process of dividing a node into two or more sub-nodes.

• Un Splitting

• Splitting

• Pruning

• Gini

When a sub-node splits into further sub-nodes, then it is called

• Decision Node

• Splitting

• Pruning

• Terminal Node

Decision Tree Algorithm can be used for

• Classification

• Regression

• Both