Supervised learning is a machine learningg approughters tu o learn partrification problemn experiem, unseen modeer on daladesets.

Understanding Supervised Learning

Supervised learnin devidins execuding that algorithm with in putt-output pairs.

Common Classification Algoritms

  • 11; ASA1; FLT: 0 AF3; LOGUSTIC Regression: STA1; FLT: 1: 1 FLT; OSED Far Binary clasfication tasks.
  • FLT: 0 = 33. Decision Trees: FLT: 1: 1 1f 3; Create a-like model of decisions.
  • FLT: 0: 33; Pasokan Vector Mesin: 101; FLT: 1: 03; Find the optimal boundary betweesen classes.
  • 11; FLT: 0 = 03; Random Forests:

Applications is th e Reul World

Supervised learning techniques are propeeees in varioues fields swat as as escate, finance, and parketnid dode helpe andevive decive, credt scoring, and custoir segmentation. Theese method autoriate animmedive decive.