Machine Learning

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

The correlation in between mobile usage and exam score of a person found to be -2.2. What is your inference from the above statement.

• Mobile usage is positively correlated with exam score

• Mobile usage is negatively correlated with exam score

• None of the mentioned

• Need some other information

The residual is the difference in between ________________

• actual value of y and the estimated value of y

• actual value of x and the estimated value of x

• actual value of y and the estimated value of x

• actual value of x and the estimated value of y

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

• Mean Absolute Error

• Root Mean Square Error

• Precision

• Recall

If we decrease the input variable by one unit in a simple linear regression model. How many units of the output variable will change?

• reduced by Intercept

• increased by Intercept

• increased by Slope

• reduced by Slope

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

• Scatter plot

• Barchart

• Histograms

• None of Mentioned

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

• 1

• 2

• 0

• 3

KNN Algorithm can be used for

• Only for Classification

• Only for Regression

• Both Classification and Regression

• None of the Mentioned

KNN is ___________ algorithm

• Non-parametric and Lazy Learning

• Parametric and Lazy Learning

• Parametric and Eager Learning

• Non-parametric and Eager Learning