What is Confusion matrix?Confusion matrix kya hai?

🧸 Think of it likeAise samjho

Like a report card for a security guard: thieves caught, thieves missed, innocent people stopped, and innocent people let through.Security guard ka report card jaisa: kitne chor pakde, kitne chhoot gaye, kitne begunaah roke, aur kitne begunaah jaane diye.

📘 ExplainedVistaar se

For yes or no problems it counts true positives, false positives, false negatives and true negatives. Precision, recall and accuracy are all calculated from it. Looking at the matrix shows which mistakes the model makes, which matters more than a single score.Haan ya nahi wali problems mein yeh true positives, false positives, false negatives aur true negatives ginta hai. Precision, recall aur accuracy sab isi se nikalte hain. Matrix dekhne se pata chalta hai model kaunsi galtiyaan karta hai, jo ek score se zyaada zaroori hai.

💡 Real exampleAsli example

Out of 10 frauds, 8 caught (TP), 2 missed (FN); 12 normal payments wrongly flagged (FP).10 fraud mein se 8 pakde (TP), 2 chhoote (FN); 12 normal payments galti se flag hue (FP).

📖 Learn it step by stepStep by step seekho

• Measuring models: accuracy, precision and recallModels ko measure karna: accuracy, precision aur recall

🔗 Related termsJude hue shabd

• PrecisionOf everything the model flagged as positive, the share that really was positive.Model ne jitne positive flag kiye, unme se sach mein positive ka hissa.
• RecallOf all the real positives, the share the model caught.Saare asli positives mein se model ne kitne pakde, uska hissa.
• AccuracyThe share of all predictions that were correct.Saari predictions mein se kitni sahi thi, uska hissa.