Question ID Diffculty Level Question Stimulus Option No.1 Option No.2 Option No.3 Option No.4 Correct Option Subject SUB TOPIC Standard Level Question Reference Solution Methodology Checked and verified for accuracy (Y/N)
1 2 Decision trees are considered under which class of Machine Learning Algorithms? Supervised Learning Unsupervised Learning Reinforcement learning Option 1 and 2 both Supervised Learning Supervised Learning Tree based Modelling
2 3 Decision tree is a type of supervised learning algorithm (having a pre-defined target variable). Decision Trees can be used for _________ . Classification problems Regression problems Option 1 and 2 both None of these Option 1 and 2 both Supervised Learning Tree based Modelling
3…show more content… Disks Squares Circles Triangles Triangles Supervised Learning Tree based Modelling
9 3 Following are the advantage/s of Decision Trees. Choose that apply. "Use a white box model, If given result is provided by a model" "Worst, best and expected values can be determined for different scenarios" Possible Scenarios can be added All of the mentioned All of the mentioned Supervised Learning Tree based Modelling
10 3 Trees based algorithm can be used with which type of Target variable/Dependent variable/Response variable in the dataset? Categorical variable (e.g YES or NO type) Continuous Variable Option 1 and 2 both None of these Option 1 and 2 both Supervised Learning Tree based Modelling
11 3 Leaf/ Terminal Node is represented by ? A Node that do not split further It represents entire population or sample and this further gets divided into two or more homogeneous sets. A sub-node that splits into further sub-nodes None of these A Node that do not split further Supervised Learning Tree based Modelling
12 3 The Leaf nodes of a model tree are? Average of numeric output attribute values. Non-linear regression equation. linear regression equation. Sum of numeric output attributes values. linear regression equation. Supervised Learning Tree based Modelling
13 3 What is the process of splitting the tree? A process of dividing a node into two or more sub-nodes A process of removing sub-nodes of a decision node A process of dividing a