Which algorithms are good for Multi class classification problems?



When we have more than 20 classes which algorithms are best and what is the procedure???
Please help thanks in advance…



Hi @swapna26,

Please refer this discussion thread.



I want to understand when no of classes are more not features…Kindly help!!!


Hey man you can use Deep Learning with Tensorflow:
Multi-class classification simple means u have more than one categorical variable and so you will use categorical_crossentropy loss fucntion and use relu and your activation function.

See an example on my github.com https://github.com/constantinembufung/multiclass-classification-with-tensorflow/blob/master/Classifying_newswires_with_Deep_Learning.ipynb


Hi @constantinembufung

thanks for your reply

I am new to Data science.

Can you tell me when every row has one category for example mac_address(b4:5d:50:0e:8d:20)
i.e so many categories then how to put this field into my training data…please help


You could make use of pandas data frame to do it. And add the rows using .iloc method. Please refer to the official docs here - https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.append.html