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ffm-baseline
Commit bf5413b0 authored by 王志伟's avatar 王志伟
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更改用词

parent 0fc26443
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Showing with 4 additions and 4 deletions
eda/recommended_indexs/hypothesis_test.py
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...@@ -129,19 +129,19 @@ def t_test(x,y): #进行t检验 ...@@ -129,19 +129,19 @@ def t_test(x,y): #进行t检验
t_p_value=t_test[1] t_p_value=t_test[1]
# print(t_p_value) # print(t_p_value)
if t_p_value>0.05: if t_p_value>0.05:
print("95%置信度认为策略前后两组数据【无显著性差异】，即该指标没有显著提升，p_value:{}" .format(t_p_value)) print("95%置信度认为策略前后两组数据【无显著性差异】，即该指标没有显著变化，p_value:{}" .format(t_p_value))
print("\n") print("\n")
else: else:
print("95%置信度认为策略前后两组数据【有显著性差异】，即该指标获得显著提升，p_value:{}" .format(t_p_value)) print("95%置信度认为策略前后两组数据【有显著性差异】，即该指标获得显著变化，p_value:{}" .format(t_p_value))
print("\n") print("\n")
else: #认为数据方差不具有齐性，equal_var=false else: #认为数据方差不具有齐性，equal_var=false
t_test = ttest_ind(x, y, equal_var=False) t_test = ttest_ind(x, y, equal_var=False)
t_p_value = t_test[1] t_p_value = t_test[1]
if t_p_value > 0.05: if t_p_value > 0.05:
print("95%置信度认为策略前后两组数据【无显著性差异】，即该指标没有显著提升，p_value:{}" .format(t_p_value)) print("95%置信度认为策略前后两组数据【无显著性差异】，即该指标没有显著变化，p_value:{}" .format(t_p_value))
print("\n") print("\n")
else: else:
print("95%置信度认为策略前后两组数据【有显著性差异】，即该指标获得显著提升，p_value:{}" .format(t_p_value)) print("95%置信度认为策略前后两组数据【有显著性差异】，即该指标获得显著变化，p_value:{}" .format(t_p_value))
print("\n") print("\n")
# #
# ###假设检验，判断是否具有显著性 # ###假设检验，判断是否具有显著性
......
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