If I want to train a machine learning on specific dataset. what the important factor to make a decision on that machine model if it is the regression rate or classification rate?
Fundamentally, classification is about predicting a label and regression is about predicting a quantity.
which is better to decide the model is trained enough the regression or the classification!
Depend on your application
Some algorithms worked as both like decision tree or even NN.
Thanks Hiba J. Aleqabie
You're more than welcome
@Ashwan Abdulmunem
The number in the regression means the class? @Asia
If there is any article to use this combination for classification?
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