#122: Scikit-learn 116: Model Selection 4 Metrics and scoring (1/4)

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

Timeline
(Python 3.8)

00:00 - Outline of video
00:42 - Evaluate quality of model's predictions
01:24 - scoring parameter: Interpretation
03:12 - scoring: classification, clustering, regression
03:30 - Scikit-learn: Confusion matrix
07:12 - Metrics: accuracy_score
09:33 - Metrics: balanced_accuracy_score
10:59 - Metrics: top_k_accuracy_score

continued in next video Part - 2/4 ...
  1. learndataa
  2. metrics
  3. score
  4. cross validation
  5. cv
  6. unsupervised learning
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