getsurvival

Value at which survival probability will be calculated.

cutoff

Function <code>getsurvival</code> calculates survival probability
from an object of class "density" at specified value.

Sensitivity (or recall or true positive rate), false positive rate, specificity, precision (or positive predictive value), negative predictive value, misclassification rate, accuracy, F-score- these are popular metrics for assessing performance of binary classifier for certain threshold. These metrics are calculated at certain threshold values. Receiver operating characteristic (ROC) curve is a common tool for assessing overall diagnostic ability of the binary classifier. Unlike depending on a certain threshold, area under ROC curve (also known as AUC), is a summary statistic about how well a binary classifier performs overall for the classification task. ROCit package provides flexibility to easily evaluate threshold-bound metrics. Also, ROC curve, along with AUC, can be obtained using different methods, such as empirical, binormal and non-parametric. ROCit encompasses a wide variety of methods for constructing confidence interval of ROC curve and AUC. ROCit also features the option of constructing empirical gains table, which is a handy tool for direct marketing. The package offers options for commonly used visualization, such as, ROC curve, KS plot, lift plot. Along with in-built default graphics setting, there are rooms for manual tweak by providing the necessary values as function arguments. ROCit is a powerful tool offering a range of things, yet it is very easy to use.

Riaz Khan

ROCit

Performance Assessment of Binary Classifier with Visualization

Md Riaz Ahmed Khan

Thomas Brandenburger

getsurvival function

<dl><dt>x</dt>
<dd>An object of class "density".</dd>
<dt>cutoff</dt>
<dd>Value at which survival probability will be calculated.</dd></dl>

Arguments

<code>getsurvival</code> is used internally in other function(s) of ROCit.

Comment

Survival Probability — getsurvival

<dl>

<dt>x</dt>
<dd>An object of class "density".</dd>


<dt>cutoff</dt>
<dd>Value at which survival probability will be calculated.</dd>

</dl>

<code>getsurvival</code> is used internally in other function(s) of ROCit.

getsurvival: Survival Probability

Description

Usage

Value

Arguments

Comment

Details

Examples