SVG
SVG
Artificial Intelligence Task

Multi Label Classification

Multiple labels can be assigned to a single instance and the goal is to predict all relevant labels for a given instance. This type of problem is commonly used in text or image classification tasks and usually is based on training on a labeled dataset in order to make predictions on new, unlabeled data.

Input

Data instances

Output

Multiple labels assigned to each instance

Goal

To categorize instances into multiple categories simultaneously

Learning Strategy

Classification algorithms adapted for multi-label output

Evaluation Metric

Hamming loss, precision, recall, and F1 score for multi-label settings.

Other Artificial Intelligence Tasks

Menu

en_USEN
en_USEN es_MXES