Which algorithms are good for Multi class classification problems?

machine_learning
multi-class

#1

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

–swapna


#2

Hi @swapna26,

Please refer this discussion thread.


#3

Hi

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


#4

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


#5

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


#6

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