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example3.py
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example3.py
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"""
Simple example of using MRC with 0-1 loss.
"""
import numpy as np
import warnings
import time
from sklearn.model_selection import StratifiedKFold
from sklearn.impute import SimpleImputer
from sklearn import preprocessing
from minimax_risk_classifiers.MRC import MRC
#import the datasets
from datasets import load_mammographic
if __name__ == '__main__':
# Supress the warnings
warnings.simplefilter('ignore')
# Loading the dataset
X, Y = load_mammographic(return_X_y=True)
r = len(np.unique(Y))
# Preprocess
trans = SimpleImputer(strategy='median')
X = trans.fit_transform(X, Y)
# Fit the MRC model
clf = MRC(r=r).fit(X, Y)
# Prediction
print('\n\nThe predicted values for the first 3 instances are : ')
print(clf.predict(X[:3, :]))
# Predicted probabilities
print('\n\nThe predicted probabilities for the first 3 instances are : ')
print(clf.predict_proba(X[:3, :]))
print('\n\nThe score is : ')
print(clf.score(X, Y))