ROC Curve & Area Under Curve (AUC) with R - Application Example

Provides easy to apply example obtaining ROC curve and AUC using R.
Data: github.com/bkrai/R-files-from...
Timestamps:
00:00 Introduction - ROC Curve & Model Evaluation with R
00:58 Logistic Regression Model
01:26 Confusion Matrix Misclassification Error
04:23 Model Performance
08:54 Identifying Best Cutoff and Frequency
12:51 ROC Curve
17:11 Area Under Curve (AUC)
Includes an example with,
- rocr package
- accuracy versus cutoff curve
- identifying best cutoff values for best accuracy
- true positive rate (tpr) or sensitivity
- false positive rate (fpr) or '1-specificity'
roc curve is an important model evaluation tool related to analyzing big data or working in data science field.
Machine Learning videos: goo.gl/WHHqWP
Becoming Data Scientist: goo.gl/JWyyQc
Introductory R Videos: goo.gl/NZ55SJ
Deep Learning with TensorFlow: goo.gl/5VtSuC
Image Analysis & Classification: goo.gl/Md3fMi
Text mining: goo.gl/7FJGmd
Data Visualization: goo.gl/Q7Q2A8
Playlist: goo.gl/iwbhnE
R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.