Comment by Jeet gangele on "How do you choose a classification algorithm for a specific machine learning problem ?"

Cross validation is one initially you should look read below link en.wikipedia.org/wiki/Cross-validation_%28statist… http://en.wikipedia.org/wiki/Model_selection few other things you should consider

Training needs to be done incrementally or batch? if incrementally then Bayesian works best.Neural network and SVM works well with batch and when you have enough data 2.how fast you want the result? SVM is very fast for classification problem because they only need to figure it out which side of plane you data point is placed
does your data composed of categorical, numerical or both. 4.Do you need to explain in details the algorithms to you manager, audience then Choose decision tree, random forest. Neural nets are hard to explain because mostly the are black box.

Similarly i can write hundreds of reason. I would suggest go to Kaggle and looks at all kind of classification and check what are algorithms people are applying. Its very hard to write each and every case here. this is the skill every data scientist need to learn by their-self.

Thanks for writing the answer , I appreciate it . While I understand your reasoning on above , I would like to know what algorithm would you have choosen for relation finding from contact name ?

relation finding from contact name ? can u please elaborate the problem little more?

THis problem is for a parent teacher student communication app . Suppose I have contact list like this

Abhishek +91 898989XXXX Dad +91 898989XXXX Puja Aunty +91 898989XXXX Sid Bro +91 898989XXXX Mom +91 898989XXXX Jeet Ganguly Sir +91 898989XXXX

I want to predict the relation from contact name like

Abhishek - Friend Dad - Parent Puja Aunty- Parent Sid Bro- Friend Mom -Parent Jeet Ganguly Sir - Teacher Abhishek's Dad - Parent

So how would you predict this ?

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