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############################################ REQUIREMENTS ############################################ The python files are provided. To run these, the scikit learn library must be installed in the system. If anaconda is installed in the system, it can be executed from an anaconda prompt. Also required: Pandas library, numpy library ############################################# COMMAND LINE ############################################# From console/anaconda prompt type: python EnsembleClassifiers.py This will train the network on the "lab3-train.csv" file and test the data on the "lab3-test.csv" file. Make sure these two files are in the same directory ############################################# EXPERIMENT WITH HYPERPARAMETERS ############################################# 1. The hyperparameters are passed at the definition of each model in the script. They can be experimented with, by switching the parameter values at the sklearn model definitions. ©Saunak Saha ==================== (saha@iastate.edu)
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