jimmy-classify

To classify text with confidence scoring, you provide the text input, specify your category labels, and set the number of votes. The skill uses ensemble voting to return a majority-vote classification and a confidence score.

Yes, you can use ensemble voting for commit message labeling and content tagging. The classification mechanism is optimized specifically for these tasks, efficiently categorizing text into your specified labels using multiple votes.

The best way to route support tickets is to classify text into categories like bug report, feature request, or user query. You define these labels and the system outputs a category with a confidence score to guide routing.

Yes, you need to define category labels before classifying text. The classification process requires a text input, your predefined category labels, and a specified number of votes to generate an accurate ensemble result.

Ensemble voting improves text classification accuracy by utilizing multiple classification votes. This mechanism aggregates results to determine a majority-vote category and calculates a confidence score for that final classification.