Confusion Matrix, Accuracy, Recall and Precision Demystified
This is the first part of a series of two videos In which I want to introduce the main ways by which we evaluate and compare our classification models.
In this video, I First explain the possible outcomes of a classifier, then, I cover confusion matrices, along with some classification metrics such as Accuracy, Recall (or Sensitivity), Precision and F1 score.
We also make a Superhero detector to arrest these unlawful vigilantes!🦹
📑 Chapters:
0:00 Intro
0:30 Classification
1:20 Classification Possilble Results
2:23 Confusion Matrix
3:36 Accuracy
6:06 Recall
6:30 Precision
6:57 Comparing Classification Metrics
8:34 F1 Score
9:05 Conclusion
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#classification #machine_learning #confusion_matrix #accuracy #recall #precision