#123: Scikit-learn 117: Model Selection 5 Metrics and scoring (2/4)

The video discusses metrics and scoring from Scikit-learn in Python.

Timeline
(Python 3.8)

00:00 - Metrics: average_precision_score
02:05 - Metrics: brier_score_loss
03:03 - Metrics: f1_score
04:57 - Metrics: 'neg_log_loss' : log_loss [Typo!: 'neg_loss_loss' should be 'neg_log_loss']
06:44 - Metrics: 'precisions': precision_score
07:16 - Metrics: 'recall': recall_score
07:46 - Metrics: 'jaccard': jaccard_score
08:32 - Metrics: 'roc_auc': roc_auc_score

continued in next video Part - 3/4 ...