A confusion matrix is a table that shows the performance of a classification model. It is used to evaluate the accuracy of a model by comparing its predictions to the actual values. The rows of the ...

if no weight list (values: 0-1) is provided, a value of 1 is assumed; this value is used as weight for the counting then You don't have to write code for using the library, you can just use the ...

The negative value in the result below represents are inversely dependent on each other. Each eigenvector will have an eigenvalue and sum of the eigenvalues represent ... For classification tasks, we ...