Machine Learning Beginner Set - 1

What type of Machine Learning Algorithm is suitable for predicting the continuous dependent variable?

• Logistic Regression

• Linear Regression

• Decision Tree Classifier

• KNN Classifier

What type of Machine Learning Algorithm is suitable for predicting the dependent variable with two different values?

• Logistic Regression

• Linear Regression

• Multiple Linear Regression

• Polynomial Regression

• None of These

Suitable evaluation metric for measuring the performance of a given regression model is -

• ROC Curve

• Precision

• Recall

• AUC Score

• None of These

Appropriate chart for visualizing the linear relationship between two variables is ?

• Scatter plot

• Bar chart

• Histograms

• None of Mentioned

The Number of coefficients required to estimate a simple linear regression?

• 1

• 2

• 0

• 3

• -1

The entropy of a given dataset is zero. This statement implies what?

• further splitting is required

• no further splitting is required

• Need some other information to decide splitting

• None of the Mentioned

If the given dataset contains 200 observations out of 100 belongs to class1 and other 100 belongs to class2. What will be the entropy of the given dataset?

• 0

• 1

• -1

• 0.5

Consider a Confusion Matrix of a classifier where True Positive is 61, False Positive is 8, True Negative is 38 and False Negative is 5 then what is the correct statement

• Accuracy is 81%

• Misclassification Rate is 19%

• Type-I Error is 8

• Type-II Error is 13

• None of them are True

Several sets of data related to each other used to make decisions in machine learning algorithms

• Unsupervised Learning

• Classifiers

• Supervised Learning

• Dataset

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

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• None of these