How to interpret the .score() result generated by logistic regression with binary output?

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X_AAPL = AAPL[[\'100ma\',\'100mmin\',\'100mmax\']]
Y_AAPL = AAPL[\'gain\']
X_AAPL_train, X_AAPL_test, y_AAPL_train, y_AAPL_test = train_test_split(X_AAPL, Y_AAPL, te


                      
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