Which of the following lists examples of high-bias but low-variance machine learning algorithms?

Question

A. Linear Regression, Decision Trees, Logistic Regression

B. Decision Trees, Linear Discriminant Analysis, Support Vector Machines

C. Linear Regression, Linear Discriminant Analysis, Logistic Regression

D. Linear Regression, k-Nearest Neighbors, Logistic Regression

Answer 1

The correct answer is option C (Linear Regression, Linear Discriminant Analysis, and Logistic Regression). In general, linear machine learning algorithms like Linear Regression, Linear Discriminant Analysis and Logistic Regression will have high-bias and low-variance. The non- linear machine learning algorithms like Decision Trees, k-Nearest Neighbors and Support Vector Machines will have low-bias and high-variance.

Also, watch this video on Machine Learning algorithms:

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