Gradient descent

ID3

Naive Bayes

K-means

Homoscedasticity

Linearity

Normality

Heteroscedasticity

Homoscedasticity

Linearity

Normality

Heteroscedasticity

Imputation

Deletion

Both a and b

Neither a nor b

Apriori

Gradient descent

DBSCAN

Isolation Forest

C4.5

CART

ID3

Naive Bayes

Multicollinearity

Heteroscedasticity

Non-normality

Outliers

To add more branches to the tree

To remove unnecessary branches from the tree

To change the structure of the tree

To add more data to the tree

To increase the number of features in the data

To decrease the number of features in the data

To transform the data into a higher-dimensional space

To transform the data into a lower-dimensional space

The percentage of the variance in the predictor variable(s) explained by the response variable

The degree of correlation between the predictor variable(s) and the response variable

The accuracy of the predictions made by the model

The percentage of the variance in the response variable explained by the predictor variable(s)