Machine Learning and applications-Module-1 (Quiz-2)

Which of the following is an unsupervised task?

• Learning to play chess

• Predicting if an edible item is sweet based on the information of the ingredients and their quantities

• Grouping related documents from an unannotated corpus

• All of the above

Logistic Regression transforms the output probability to be in a range of [0, 1]. Which of the following function is used by logistic regression to convert the probability in the range between [0, 1].

• Sigmoid

• Mode

• Square

• All of the above

The ROC plot of three classifiers is shown in above figure.

Which is the best classifier?

• Classifier A (Blue)

• Classifier B (Red)

• Classifier C (Black)

• It depends on the desired TPR or FPR

Which of the following measures best analyse the performance of a classifier?

• Precision

• Recall

• Accuracy

• Depends on the application

You are given reviews of few movies marked as positive, negative or neutral. Classifying reviews of a new movie is an example of

• Supervised learning

• Unsupervised learning

• Semi-Supervised learning

• Reinforcement learning

A statement made about a population for testing purpose is called?

• Statistic

• Hypothesis

• Level of Significance

• Test-Statistic

Which of the following statements is true about linear regression regarding outlier?

• Linear regression is sensitive to outlier

• Linear regression is not sensitive to outliers

• Depends upon the data

• None of the above

If the null hypothesis is false then which of the following is accepted?

• Null Hypothesis

• Positive Hypothesis

• Negative Hypothesis

• Alternative Hypothesis

K-fold cross-validation is

• linear in K

• quadratic in K

• cubic in K

• exponential in K

Which of the following necessitates feature reduction in machine learning?

• Irrelevant and redundant features

• Limited training data

• Limited computational resources

• All of the above