classification_performance.py 文件源码

python
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项目:stock-predict-by-RNN-LSTM 作者: blockchain99 项目源码 文件源码
def compare(self):
        for i in range(self.count):
            for j in range(self.count):
                if i < j:
                    tst, pvalue = stats.ttest_ind(self.errors[i], self.errors[j])
                    if pvalue < 0.05:
                        print("{0} is significantly better than {1}".format(self.names[i], self.names[j]))
                        print("{0} avg err = {1}, {2} avg err = {3}".format(
                                self.names[i], np.average(self.errors[i]),
                                self.names[j], np.average(self.errors[j])
                        ))
                    else:
                        print("{0} and {1} are not significantly different".format(self.names[i], self.names[j]))
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