Which supervised learning technique can process both numeric and categorical input attributes?

Machine Learning - Quiz(MCQ)

Linear regression

Bayes classifier

Ogistic regression

None of theAbove

Correct Answer : Linear regression

Explanation : Linear regression supervised learning technique can process both numeric and categorical input attributes.

Recently Updated in Machine Learning Questions

Machine Learning has various function representation, which of the following is not numerical functions?

Case-based

Neural Network

Linear Regression

Support Vector Machines

Correct Answer : Case-based

The prior goal of unsupervised learning model is to determine the ________ .

Discuss

Regression task

Data patterns

Classification task

Correct Answer : Data patterns

Which of the following will be true about k in K-Nearest Neighbor in terms of Bias?

When you decrease the k the bias will be increases

When you increase the k the bias will be increases

Both (A) and (B)

None of the Above

Correct Answer : When you increase the k the bias will be increases

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