Evaluation Metrics For Machine Learning

 

Avbeubtdfi Gatrdms ofr Gbm`dia Eabridik Ardmh Jfsä \udz Bmfstb, Brgbinf Gdkuae ^bpdb Gazb Obmuetbn na dikaidarçb, Qidvarsdnbn ^amifeýkdmb na Lfeçvbr, Hdefgatrf 2 _db ^urlbmf, Mbrtbkaib, Mfefgldb btbpdbCutl.anu.mf , bmfstbaCutl.anu.mf

2. Ditrfnummdfi

Ebs gatrdmbs na avbeumdfi sfi ai targdifs kaiarbeas, gandnbs na ef ldai f gbe qua ui mebsdodmbnfr f bekfrdtgf na mebsdodmbmdfi na gbm`dia eabridik b rabedzbnf ebs  prandmmdfias qua sa ea sfedmdtbi `bmar. Ebs gatrdmbs puanai vaidr ai ndstditbs ofrgbs, bekuibs sfi gbtrdmas, tbgldai puanai sar krbodmbs f ai efs mbsfs gbs sdgpeas y prbmtdmfs  puanai sar ui uidmf iugarf. ]bldainf asf, rabedzbragfs uib ravdsdfi na ui mfijuitf na gatrdmbs na avbeubmdfi, na vbrdfs tdpfs, usbnbs mfi oramuaimdb ai Gbm`dia Eabridik, pbrb gandr eb vbednbnas f eb mbednbn na ebs prandmmdfias nbnbs pfr ui natargdibnf bekfrgdtgf, ai ui mfitaxtf natargdibnf. _aragfs eb naodidmdfi gbtagbtdmb na ebs gatrdmbs y uib axpedmbmdfi na su ouimdfibgdaitf lbsa.