moabb.paradigms.P300

class moabb.paradigms.P300(**kwargs)

P300 for Target/NonTarget classification.

Metric is ‘roc_auc’

property scoring

Property that defines scoring metric (e.g. ROC-AUC or accuracy or f-score), given as a sklearn-compatible string or a compatible sklearn scorer.

Examples using moabb.paradigms.P300

sphx_glr_auto_examples_noplot_vr_pc_p300_different_epoch_size.py

Example of P300 classification with different epoch size.

Within Session P300

Within Session P300

MNE Epochs-based pipelines

MNE Epochs-based pipelines

Within Session P300 with Learning Curve

Within Session P300 with Learning Curve

Within Session P300 with Learning Curve

Within Session P300 with Learning Curve

Tutorial 5: Creating a dataset class

Tutorial 5: Creating a dataset class