ROC analysis
PA Flach - … of machine learning and data mining, 2016 - research-information.bris.ac.uk
ROC analysis investigates and employs the relationship between sensitivity and specificity
of a binary classifier. Sensitivity or true positiverate measures the proportion of positives …
of a binary classifier. Sensitivity or true positiverate measures the proportion of positives …
ROC Analysis
PA Flach - … of Machine Learning and Data Mining, 2010 - research-information.bris.ac.uk
ROC analysis investigates and employs the relationship between sensitivity and specificity
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
[PDF][PDF] ROC Analysis
P Flach - researchgate.net
ROC analysis investigates and employs the relationship between sensitivity and specificity
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
[PDF][PDF] ROC Analysis
P Flach - people.cs.bris.ac.uk
ROC analysis investigates and employs the relationship between sensitivity and specificity
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
[PDF][PDF] ROC Analysis
P Flach - 2016 - core.ac.uk
ROC analysis investigates and employs the relationship between sensitivity and specificity
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …
of a binary classifier. Sensitivity or true positive rate measures the proportion of positives …