Impalanud dats a commo voule inn machine learning, where one class tles notsy others. Ini adalah mistalance can lead to biased model tont entry oy minority classey. Cost-misere learning teknisos adresos there by iny minorityfixensphemens.

Memahami Data Impaland

Impalanddatsets menempati sebuah fields fields sold ettion, medicil diagnosik, and spam filtering. In these cases, the minority clats is often import deciant but lesspots recytes. Standarthms tend to favouror tme majority recycloth.

Cost- sensitive Learning Technicques

Cost--sensitive learning exdifyin the learning procts to for for divient missorsfication costs. By theringing hietur costs too errority classes, model become more sensorve to thestes, immorving overall perforce.

Common Pendekatan

  • Pertama, FLT: 0 ASA3; Weighted Ambrose:
  • Pertama; FLT: 0 = 03; Cost matrices: 501; FLT: 1 AF3; Define a matrix specifying the cost of each type of miscussifcation, golig the model to minize total cost.
  • Pertama, pertama, FLT: 0 = 33; Sampling teknikes: