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A few days ago, I was learning about evaluating my Machine Learning Model and I have compiled the things that I learned during the period. Do let me know how I did with this.

Also, Let me know, how do you like to evaluate your Machine Learning Model?

I think this is a concise and good overview of ML model evaluation. I was recently thinking along the same lines and posted it on my blog here: https://scienceofdata.org/2020/02/23/ml-classifier-evaluatio...

You have nice graphs and cover regression models too. I use mostly these when evaluating models I've built, I also use the Kappa statistic which can be a useful summary.

Good post! I really liked the concept of ROC curve in there. Will read more about it.