Classification with Costly Features
4 papers with code • 0 benchmarks • 0 datasets
The task is to classify the dataset with costly features with different budget settings. The final metric is the normalized area under the cost-accuracy curve.
Benchmarks
These leaderboards are used to track progress in Classification with Costly Features
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.