What is Threshold?Threshold kya hai?

🧸 Think of it likeAise samjho

Like a pass mark: score above 40 and you pass, below and you don't. Moving the pass mark changes who gets through.Pass marks jaisa: 40 se upar pass, neeche fail. Pass marks badalne se badalta hai kaun aage jaata hai.

📘 ExplainedVistaar se

A model might say 0.37 chance of fraud. With a 0.5 threshold that's 'no'; with 0.3 it's 'yes'. Raising the threshold gives fewer false alarms (higher precision) but more misses (lower recall). Choose it from the business cost of each mistake, not by default.Model 0.37 fraud ka chance bata sakta hai. 0.5 threshold pe yeh 'nahi' hai; 0.3 pe 'haan'. Threshold badhaane se kam false alarms (zyaada precision) par zyaada miss (kam recall). Ise default se nahi, har galti ki business cost se chuno.

💡 Real exampleAsli example

Flagging payments above 0.3 so the review team catches 85% of fraud.0.3 se upar wali payments flag karna taaki review team 85% fraud pakde.

📖 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.
• AUCA single number summarising how well a model separates positives from negatives across all thresholds.Ek number jo batata hai model saare thresholds pe positives ko negatives se kitna acche se alag karta hai.