🧐 Confusion Matrix: Less confusing 🤯

Many data science beginners struggle to understand true negative (TN), false negative (FN), false positive (FP), and true positive (TP). 🤔

You can easily understand the values using the confusion matrix. 📊

💡 It is a 2x2 matrix for a binary classifier:

- True Negative (TN): True Negative prediction ✅
- False Negative (FN): False Negative prediction ❌
- False Positive (FP): False Positive prediction 🚨
- True Positive (TP): True Positive prediction 🎯

❓ For each prediction, ask two questions:
1. Did the model do it right? Yes (True) or No (False)
2. What was the predicted class? Positive or Negative

https://t.me/CodeProgrammer