tmca_proportions: Proportional classification evaluation
In tm4ss/tmca.classify: Classification and active learning for text (tmca.classify)

Proportional classification evaluation

1 2	tmca_proportions(predicted_labels, true_labels, facets = factor(), positive_class = NULL, verbose = F)

`predicted_labels`	vector (factor) of predicted labels
`true_labels`	vector (factor) of true labels
`facets`	factor with data facets to group labels
`positive_class`	name / level of the positive class

list with evaluation metrics: root-mean-square deviation, Pearson's r, and predicted/true proportions per facet

tm4ss/tmca.classify documentation built on June 24, 2019, 12:37 p.m.

tm4ss/tmca.classify index

README.md

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description