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README.md

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Core Concepts

  1. Supervised Learning
  2. Classification Error Metrics
  • Accuracy
  • Recall
  • Precision
  • F1 Score
  1. Regression Error Metrics
  • Mean Absolute Error (MAE)
  • Mean Squared Error (MSE)
  • Root Mean Square Error (RMSE)

Confusion Matrix Example:

Total Population Prediction Positive Prediction Negative
True Condition Condition Positive True Positive (TP) False Negative (FN)
True Condition Condition Negative False Positive (FP) True Negative (TN)