This code combines positive and negative training, testing data for performing binary classification machine learning.
Code:
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20 | import pandas as pd
train_positive_data = pd.read_csv('csv_files/trainPositive.csv', header=None)
train_negative_data = pd.read_csv('csv_files/trainNegative.csv', header=None)
test_positive_data = pd.read_csv('csv_files/testPositive.csv', header=None)
test_negative_data = pd.read_csv('csv_files/testNegative.csv', header=None)
train_output = train_negative_data.append(train_positive_data)
test_output = test_negative_data.append(test_positive_data)
output_train_name = "csv_files/trainCombined.csv"
train_output.to_csv(output_train_name, index=False, header=False)
output_test_name = "csv_files/testCombined.csv"
test_output.to_csv(output_test_name, index=False, header=False)
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