niftynet.contrib.evaluation.classification_evaluations module

This module defines built-in evaluation functions for classification applications

Many classification metrics only make sense computed over all subjects, so aggregation is used.

class roc(reader, app_param, eval_param)[source]

Bases: niftynet.evaluation.base_evaluations.BaseEvaluation

layer_op(subject_id, data)[source]
classmethod aggregate(df)[source]
get_aggregations()[source]
class roc_auc(reader, app_param, eval_param)[source]

Bases: niftynet.evaluation.base_evaluations.BaseEvaluation

layer_op(subject_id, data)[source]
classmethod aggregate(df)[source]
get_aggregations()[source]