Machine Learning Basics: AUC and ROC - Code World

Machine Learning Basics: AUC and ROC

Enterprise 2023-04-08 22:09:11 views: null

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Machine Learning Basics: AUC and ROC

[Machine Learning] Understanding AUC-ROC Curve

Common evaluation indicators for machine learning: ACC, AUC, ROC curve

[AI Basics] AUC/ROC Indicator

Machine Learning common types of evaluation: accuracy rate (Precision), recall (Recall), F value (F-measure), ROC curve, AUC, accuracy (Accuracy)

"Machine Learning (Zhou Zhihua)" Notes - evaluation and selection (6) model - a measure of the classification task performance: ROC curves and AUC calculated and plotted

Understanding ROC / AUC

【ROC+AUC】

Statistics AUC and ROC curve

AUC和ROC曲线

ROC curve and AUC value

Machine Learning: AUC calculated based on the principle of sklearn

Introduction to ROC and AUC and how to calculate AUC

Machine learning the basics summarizing

"Overview" of Machine Learning Basics

Machine learning the basics - Machine Learning Overview

AUC, ROC I see the most thorough explanation

ROC AUC principle and under sklearn Detailed

Examples [Notes machine learning] plotted ROC curve the Python

Machine learning performance evaluation indicators: ROC curve and PR curve

Machine Learning-ROC Curve: Technical Analysis and Practical Application

[Summary of model evaluation indicators in deep learning (confusion matrix, recall, precision, F1, AUC area, ROC curve, ErrorRate)]

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ROC and AUC calculation, sklearn.metrics roc_curve, precision_recall_curve, auc, roc_auc_score, multi-label classification ROC curve drawing

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