10 Must-Know Classification Metrics for Machine Learning

 By Medium - 2020-12-15

Description

Classification is a supervised learning task in which we try to predict the class or label of a data point based on some feature values. Depending on the number of classes target variable includes…

Summary

  • How to evaluate a classification model accurately and thoroughly Classification is a supervised learning task in which we try to predict the class or label of a data point based on some feature values.
  • Predicting negative class as negative (ok) The desired outcome is that the prediction and actual class are the same.
  • ( Besides, the performance of the model might slightly change depending on the threshold value.
  • How threshold value can change the predicted class (Image by author) The real performance of a binary classifier depends on the threshold value.

 

Topics

  1. Machine_Learning (0.17)
  2. NLP (0.16)
  3. Backend (0.1)

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