from?pylab?import?*
from?scipy?import?stats
import?numpy?as?np
import?matplotlib.pyplot?as?plt


class?ClassificationPerformance:
????names?=?[]
????errors?=?[]

????def?__init__（self）:
????????self.count?=?0

????def?add（self?name?error_rates）:
????????self.names.append（name）
????????self.errors.append（error_rates）
????????self.count?+=?1

????def?compare（self）:
????????for?i?in?range（self.count）:
????????????for?j?in?range（self.count）:
????????????????if?i?????????????????????tst?pvalue?=?stats.ttest_ind（self.errors[i]?self.errors[j]）
????????????????????if?pvalue?????????????????????????print（“{0}?is?significantly?better?than?{1}“.format（self.names[i]?self.names[j]））
????????????????????????print（“{0}?avg?err?=?{1}?{2}?avg?err?=?{3}“.format（
??????????????????????????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\
?????文件????????3081??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\README.md
?????文件????????3546??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\README_ORIGINAL.md
?????文件????????1400??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\classification_performance.py
?????文件???????20668??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\index.html
?????文件????????6531??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\main.py
?????文件????????4155??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\nn.py
?????文件???????13281??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\nyse.py
?????文件????????4874??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\perceptron.py
?????文件????????1799??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\plotting.py
?????文件?????1175512??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\project.pdf
?????文件????????2140??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\rnn.py
?????文件????????1853??2016-11-29?23:37??stock-predict-by-RNN-LSTM-master\test.py