October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
Here is the code block that plots multiple ROC curves on the same axes:
- Read the FPR and TPR data for various algorithms from their respective Excel sheets using pandas:
# K-nearest neighbor (KNN)fpr_KNN = pd.read_excel('ROC_Curves.xlsx', 'fpr_KNN')tpr_KNN = pd.read_excel('ROC_Curves.xlsx', 'tpr_KNN')# Multilayer Perceptron(MLP)fpr_MLP = pd.read_excel('ROC_Curves.xlsx', 'fpr_MLP')tpr_MLP = pd.read_excel('ROC_Curves.xlsx', 'tpr_MLP')# Stochastic Gradient Descent (SGD)fpr_SGD = pd.read_excel('ROC_Curves.xlsx', 'fpr_SGD')tpr_SGD = pd.read_excel('ROC_Curves.xlsx', 'tpr_SGD')# Random Forest (RF)fpr_RF = pd.read_excel('ROC_Curves.xlsx', 'fpr_RF')tpr_RF = pd.read_excel('ROC_Curves.xlsx', 'tpr_RF')# Decision Trees (DT)fpr_DT = pd.read_excel('ROC_Curves.xlsx', ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.