sklearn实战-乳腺癌细胞数据挖掘（博主亲自录视频）

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# -*- coding: utf-8 -*-
import numpy as np
# additional packages
from scipy.stats.mstats import kruskalwallis
'''.. currentmodule:: scipy.stats.mstatsThis module contains a large number of statistical functions that canbe used with masked arrays.Most of these functions are similar to those in scipy.stats but mighthave small differences in the API or in the algorithm used. Since thisis a relatively new package, some API changes are still possible.
'''
# Get the data
'''
#These data could be a comparison of the smog levels in four different cities.
city1 = np.array([68, 93, 123, 83, 108, 122])
city2 = np.array([119, 116, 101, 103, 113, 84])
city3 = np.array([70, 68, 54, 73, 81, 68])
city4 = np.array([61, 54, 59, 67, 59, 70])
'''group1=[27,2,4,18,7,9]
group2=[20,8,14,36,21,22]
group3=[34,31,3,23,30,6]
list_groups=[group1,group2,group3]def Kruskawallis_test(list_groups):# Perform the Kruskal-Wallis test,返回True表示有显著差异，返回False表示无显著差异print"Use kruskawallis test:"h, p = kruskalwallis(list_groups)print"H value:",hprint"p",p# Print the resultsif p<0.05:print('There is a significant difference between the cities.')return Trueelse:print('No significant difference between the cities.')return FalseKruskawallis_test(list_groups)    

python风控评分卡建模和风控常识

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