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This repository has been archived by the owner on May 16, 2021. It is now read-only.
I am new to python. I am using scikit learn for classification purpose. I want to fuse the results of multi classifiers (DT, RF, NB) using dumpster safer theory.
However i could not understand the usage of the package by looking at example.py.
Need help in same
The text was updated successfully, but these errors were encountered:
Generate a set of masses for each classification source, use combination function as per examples, then do pignistic conversion. Whichever is highest is your final classification.
Generating your masses is potentially the hard part. Unless you've built from ground up for DS, you are more likely to have data in simple Bayesian form (I.e. all singleton masses add up to 1.0).
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Hi,
I am new to python. I am using scikit learn for classification purpose. I want to fuse the results of multi classifiers (DT, RF, NB) using dumpster safer theory.
However i could not understand the usage of the package by looking at example.py.
Need help in same
The text was updated successfully, but these errors were encountered: