Multiclassification

Name Used for optimization User-defined parameters Formula and/or description
MultiClass +

use_weights

Default: true

Calculation principles

MultiClassOneVsAll +

use_weights

Default: true

Calculation principles

Precision

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

Recall

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

F1

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

TotalF1

use_weights

Default: true

Calculation principles

is the sum of the weights of the documents which correspond to the k class. If document weights are not specified stands for the number of times the k class, which corresponds to the i-th object, is found among the label values.

MCC

use_weights

Default: true

Calculation principles

This functions is defined in terms of a confusion matrix (where k is the number of classes):

See the Wikipedia article for more details.

Accuracy

use_weights

Default: true

Calculation principles

HingeLoss

use_weights

Default: true

See the Wikipedia article.
HammingLoss

use_weights

Default: true

Calculation principles
ZeroOneLoss

use_weights

Default: true

Calculation principles
Kappa
Calculation principles

is the weighted number of times class k is predicted by the model

is the weighted number of times class k is set as the label for input objects

WKappa
Calculation principles
Name Used for optimization User-defined parameters Formula and/or description
MultiClass +

use_weights

Default: true

Calculation principles

MultiClassOneVsAll +

use_weights

Default: true

Calculation principles

Precision

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

Recall

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

F1

use_weights

Default: true

This function is calculated separately for each class k numbered from 0 to M – 1.

Calculation principles

TotalF1

use_weights

Default: true

Calculation principles

is the sum of the weights of the documents which correspond to the k class. If document weights are not specified stands for the number of times the k class, which corresponds to the i-th object, is found among the label values.

MCC

use_weights

Default: true

Calculation principles

This functions is defined in terms of a confusion matrix (where k is the number of classes):

See the Wikipedia article for more details.

Accuracy

use_weights

Default: true

Calculation principles

HingeLoss

use_weights

Default: true

See the Wikipedia article.
HammingLoss

use_weights

Default: true

Calculation principles
ZeroOneLoss

use_weights

Default: true

Calculation principles
Kappa
Calculation principles

is the weighted number of times class k is predicted by the model

is the weighted number of times class k is set as the label for input objects

WKappa
Calculation principles