Open izxi opened 6 years ago
High bias is equivalent to aiming in the wrong place. High variance is equivalent to having an unsteady aim.
This can lead to the following scenarios:
Linear Regression, Linear Discriminant Analysis, Logistic Regression
C. Linear Regression, Linear Discriminant Analysis, Logistic Regression *
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.
Which of the following lists examples of high-bias but low-variance machine learning algorithms?
Select one: