Linear Regression

Supervised Learning is

• learning with the help of examples

• learning without teacher

• learning with the help of teacher

• learning with computers as supervisor

In supervised learning

• classes are not predefined

• classes are predefined

• classes are not required

• classification is not done

A field in the dataset used in the machine learning algorithm which is used for model creation is known as

• dataset

• supervised learning

• unsupervised learning

• classifiers

After training the ML model, we see how accurately it predicts the answer/responds. This process is called:

• Recognition

• Training

• Predictive models

• Testing

You are given data about seismic activity in Japan and you want to predict the magnitude of the next earthquake. This is an example of

• Supervised Learning

• Unsupervised learning

• Serration

• Dimensionality reduction

In regression, the predicted variable will be

• Classes

• Strings

• Continuous numbers

• None of the mentioned

What is an optimum number of split for test and train?

• 5, 95

• 25, 75

• 50, 50

• None of the mentioned

train_test_split is present in the _______ class of sklearn library

• preprocessing

• linear_model

• model_selection

• metrics

Linear regression is present in the _______ class of sklearn library

• preprocessing

• linear_model

• model_selection

• metrics

MSE stands for

• Mean Single Error

• Median Single Error

• Model Squared Error

• Mean Squared Error