What is Confusion Matrix ?
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It is a performance measurement for machine learning classification problem where output can be two or more classes.
Let's see and try to understand the confusion matrix through math.
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True Positive:
Interpretation: You predicted positive and it’s true.
True Negative:
Interpretation: You predicted negative and it’s true.
False Positive: (Type 1 Error)
Interpretation: You predicted positive and it’s false.
False Negative: (Type 2 Error)
Interpretation: You predicted negative and it’s false.
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