Decision tree learning

Decision tree learning

University

10 Qs

quiz-placeholder

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Decision tree learning

Decision tree learning

Assessment

Quiz

Engineering

University

Hard

Created by

Arul P

Used 2+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main principle behind decision tree learning?

Memorizing training examples

Building a flowchart of decisions

Maximizing overfitting

Predicting randomly

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In decision tree representation, each internal node corresponds to:

A class label

A feature or attribute

A training sample

A final decision

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an appropriate problem for decision tree learning?

Classifying spam emails

Predicting future stock prices using time series

Image recognition with raw pixel values

Solving linear algebra equations

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The decision tree algorithm uses which of the following strategy to grow the tree?

Bottom-up construction

Top-down greedy approach

Randomized leaf selection

Neural backpropagation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the “hypothesis space” in decision tree learning represent?

The number of classes in the dataset

All possible tree structures

The training data points

The maximum depth of a tree

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the inductive bias of a decision tree learner?

Preference for deeper trees

Preference for trees that split on numerical features

Preference for shorter trees with higher information gain

No bias at all

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a common issue with decision tree learning?

Too little memory usage

High accuracy with small datasets

Overfitting to training data

Cannot handle categorical features

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