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Updating package level details

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Ayush 2020-07-31 12:38:34 +05:30
parent 7f8ce6d113
commit ae2338c2c1

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@ -11,6 +11,14 @@
present, so discretise beforehand (see
filters)
CART (Classification and Regression Trees):
Builds a binary decision tree using the CART algorithm
using a greedy approach to find the best split at each node.
Can be used for regression and classficiation.
Attributes have to be FloatAttributes even for classification.
Hence, convert to Integer Labels before hand for Classficiation.
RandomTree:
Builds a decision tree using the ID3 algorithm
by picking the Attribute amongst those