# summary

## Bayesian Classification with Gaussian Process

Despite prowess of the support vector machine, it is not specifically designed to extract features relevant to the prediction. For example, in network intrusion detection, we need to learn relevant network statistics for the network defense. In consumer credit rating, we would like to determine relevant financial records for the credit score. As for medical genetics research, we aim to identify genes relevant to the illness.

## Significance Test for Logistic Regression

A tutorial on performing the significance test for a logistic regression.

## Significance Test for MLR

A tutorial on the significance test for a multiple linear regression model.

## Adjusted Coefficient of Determination

A tutorial on the adjusted coefficient of determination for a multiple linear regression model.

## Multiple Coefficient of Determination

A tutorial on the coefficient of determination for a multiple linear regression model.

## Significance Test for Linear Regression

A tutorial on the significance test for a simple linear regression model.

## Coefficient of Determination

A tutorial on the coefficient of determination for a simple linear regression model.

## Randomized Block Design

A tutorial on analysis of variance (ANOVA) for randomized block experimental design.

## Completely Randomized Design

A tutorial on analysis of variance (ANOVA) for completely randomized experimental design.