Question

我正在使用以下代码从文件夹中加载数据：

Diabetes=pd.read_csv('datasource/ScoringDatasheet.csv')

我正在使用此代码，因为csv中有61列。

inputData=Diabetes.iloc[:,:62]
outputData=Diabetes.iloc[:,62]

然后我使用logistic regression绘制ROC

from sklearn.linear_model import LogisticRegression
logit1=LogisticRegression()
logit1.fit(inputData,outputData)

logit1.score(inputData,outputData)



np.mean(logit1.predict(inputData)==outputData)

trueInput=Diabetes.ix[Diabetes['Outcome']==1].iloc[:,:62]
trueOutput=Diabetes.ix[Diabetes['Outcome']==1].iloc[:,62]

np.mean(logit1.predict(trueInput)==trueOutput)

falseInput=Diabetes.ix[Diabetes['Outcome']==0].iloc[:,:62]
falseOutput=Diabetes.ix[Diabetes['Outcome']==0].iloc[:,62]

np.mean(logit1.predict(falseInput)==falseOutput)





from sklearn.metrics import confusion_matrix, roc_curve, roc_auc_score
confusion_matrix(logit1.predict(inputData),outputData)


fpr, tpr,_=roc_curve(logit1.predict(inputData),outputData,drop_intermediate=False)
import matplotlib.pyplot as plt
plt.figure()
plt.plot(fpr, tpr, color='red', lw=2, label='ROC curve')
plt.plot([0, 1], [0, 1], color='blue', lw=2, linestyle='--')
plt.xlabel('False Positive ')
plt.ylabel('True Positive ')
plt.title('ROC curve')
plt.show()


roc_auc_score(logit1.predict(inputData),outputData)

coef_DF=pd.DataFrame(data={'Variable':list(inputData),
'value':(logit1.coef_[0])})

coef_DF_standardised=pd.DataFrame(data={'Variable':list(inputData),
'value':(logit1.coef_[0])*np.std(inputData,axis=0)/np.std(outputData)})

import matplotlib.pyplot as plt
plt.figure()
plt.scatter(inputData.iloc[:,1],inputData.iloc[:,5],c=logit1.predict_proba(inputData)[:,1],alpha=0.4)
plt.xlabel('Glucose level ')
plt.ylabel('BMI ')
plt.show()

plt.figure()
plt.scatter(inputData.iloc[:,1],inputData.iloc[:,5],c=outputData,alpha=0.4)
plt.xlabel('Glucose level ')
plt.ylabel('BMI ')
plt.show()

不用担心标签。以后可以更改它们，但出现以下错误：

Traceback (most recent call last):
  File "index.py", line 9, in <module>
    outputData=Diabetes.iloc[:,62]
  File "C:\Users\kulkaa\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexing.py", line 1472, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\kulkaa\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexing.py", line 2013, in _getitem_tuple
    self._has_valid_tuple(tup)
  File "C:\Users\kulkaa\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexing.py", line 222, in _has_valid_tuple
    self._validate_key(k, i)
  File "C:\Users\kulkaa\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexing.py", line 1957, in _validate_key
    self._validate_integer(key, axis)
  File "C:\Users\kulkaa\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\indexing.py", line 2009, in _validate_integer
    raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds

列数是否正确，或者我在这里缺少任何内容？

获取位置索引超出范围的错误

0 个答案: