What is Classification?Classification kya hai?

🧸 Think of it likeAise samjho

Like sorting the post into boxes: bills, letters, ads. Each item goes into one category.Daak ko dabbon mein chhaantne jaisa: bills, chitthiyaan, ads. Har cheez ek category mein jaati hai.

📘 ExplainedVistaar se

Classification models output a class or class probabilities. Binary classification has two classes; multi class has several. Common models are logistic regression, gradient boosted trees and neural networks; LLMs can also classify text with a good prompt. Evaluate with precision, recall, F1 and a confusion matrix.Classification models ek class ya class probabilities dete hain. Binary classification mein do classes; multi class mein kai. Common models: logistic regression, gradient boosted trees aur neural networks; accha prompt ho to LLMs bhi text classify kar sakte hain. Precision, recall, F1 aur confusion matrix se evaluate karo.

💡 Real exampleAsli example

Predicting whether a loan applicant will default (yes or no).Predict karna ki loan lene wala default karega ya nahi (haan ya nahi).

📖 Learn it step by stepStep by step seekho

• Two kinds of prediction: regression and classificationDo tarah ki prediction: regression aur classification
• Measuring models: accuracy, precision and recallModels ko measure karna: accuracy, precision aur recall

🔗 Related termsJude hue shabd

• RegressionPredicting a number, like a price, a delivery time or demand.Ek number predict karna, jaise keemat, delivery time ya demand.
• 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.