Model Performance Measures | Rank Order Table, KS, Gains Table & Lift Chart | k2analytics.co.in

Related Blog Link - 7 Important Model Performance Measures
1) Rank Order Table, Lift Chart & Gains Table
2) Kolmogorov-Smirnov test
3) Classification Accuracy
4) AUC-ROC
5) Concordance - Discordance
6) Gini Coefficient
7) Hosmer-Lemeshow Goodness of Fit
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[@karmathj1720]

Awesome Video ...... Must see by all Data Science Enthusiasts

[@vijayragavansk]

Thanks for this video. Really a great video on KS Statistics.

[@maheshsonawane8737]

🌟🌟🌟Magnificent🌟🌟🌟 Very well explained. I don't think I am getting any problem in this again. Thanks Sir.

[@epiccoder5527]

Easy to understand and really helpful.Informative and clear session.

[@pankajbhatt8315]

Very well explained.
I'm creating marketing models in my org. right now and this is very helpful. Thanks.

[@bishalroy1186]

Thanks for such a great content.

[@preethiviswanathan5276]

Informative and clear session. Easily understandable and well executed. Thanks for uploading Sir :)

[@deepcontractor6968]

The way you explained is just phenomenal. Will watch other videos too. Kudos 👏

[@RajeshJakhotiaAIML]

Thanks

[@ANKITRAJ-hx2cm]

Best explanation ! Great explanation sir!

[@abhishekprakash9803]

i really appreciate it.....u r really doing a good job..........thanku so much its very helpfull........

[@nikunjgattani999]

Very informative... Thank you

[@kartiksaini5619]

the best video

[@RajeshJakhotiaAIML]

Thanks

[@SaurabhPrakashPS]

Great session...really helpful :)

[@RajeshJakhotiaAIML]

Thanks

[@tanumoyhazra6055]

very good session , nicely explained , but require the python codes , can we get the same ?

[@abhishekprakash9803]

One more question you perform ks stats entire datasets......what about when we perform ks stats on traning and testing data if i perform what kind of information we will get

[@RajeshJakhotiaAIML]

You have to perform KS separately on Train and Test sample. If the train-test KS numbers are comparable then there is no overfitting. If train KS is too high compared to test KS, then the model is overfit.

[@abhishekprakash9803]

can you use any classification models

[@RajeshJakhotiaAIML]

Target variable should be Binary

[@abhishekprakash9803]

@@RajeshJakhotiaAIML thanks for reply when i use your code for decile analysis ,i got a decile table only 0 to 7...........but when i changed this code 10 to 12 here pd.qcut(dev.prob, 12, labels=False,duplicates='drop')
so i got decile table 0 to 9 why this is happeinng

[@RajeshJakhotiaAIML]

@@abhishekprakash9803 Assume the values are 1,2,2,3,4,4,5,5,6,7
and I want to cut it in 10 deciles. I will get only 7 buckets instead of 10 as the number of distinct values are only 7.

[@abhishekprakash9803]

@@RajeshJakhotiaAIML thanku so much for reply sir, actually i perform ks stats for my classification models ,i got a table just same as whateever u got.........i hav so much confusion, i just wanated to share my table in wtsup...so, can i get yout wtsup number if u don't mind........

[@vedangchavan3321]

Why probability is belongs to 1( responder class) only? Why not 0?

[@RajeshJakhotiaAIML]

Probability is always mentioned for the Event of Interest (Favourable Event). If there are two teams A & B playing a match. You are interested in Team A winning the match, then, you will naturally express the probability in terms of Team A winning the match (and not Team A losing the match)

[@vedangchavan3321]

@@RajeshJakhotiaAIML but how model know our class of interest?

[@souradeepsengupta2744]

Sir, request if you can upload r codes?

[@RajeshJakhotiaAIML]

Dear Souradeep,
Ok. Will do it soon.

[@RajeshJakhotiaAIML]

See the video from 1:00 Hour onwards... and type the R code.
th-cam.com/video/23SQJ7tNFZE/w-d-xo.html

[@souradeepsengupta2744]

Thank you sir