Python

   fpr,tpr = sklearn.metrics.roc_curve(y_true, y_score, average='macro', sample_weight=None)

auc = sklearn.metric.auc(fpr, tpr)

PREVIOUS	NEXT

Code Example
Python :: while activating env show error of unautorize access in vscode
Python :: python tkinter label widget
Python :: inplace pandas
Python :: find element in list that matches a condition
Python :: multiple bars barchart matplotlib
Python :: inherit init method
Python :: aws django migrate
Python :: compare two dates python
Python :: install python 3.8 on wsl
Python :: openpyxl read sheet row by row
Python :: python using re trimming white space
Python :: python if type dict
Python :: python pandas how to get the dataframe size
Python :: pandas groupby and show specific column
Python :: pandas series filter by index
Python :: not in python
Python :: BURGERS2 solution
Python :: parallel loops in python
Python :: floating point python
Python :: df insert
Python :: sql like equivalent in python
Python :: python pretty print list of tuples
Python :: regex_2/_regex.c:50:10: fatal error: Python.h: No such file or directory
Python :: django signals post_save not working
Python :: 2d arrays using python numpy
Python :: python number of elements in list of lists
Python :: ValueError: query data dimension must match training data dimension
Python :: resize cmd using python
Python :: return max value in list python
Python :: how to access http page in pythion