cartesian_2D

A vector, indicating the first set.

array_x

A vector, indicating the second set.

array_y

Function <code>cartesian_2D</code> takes two vectors as input and
returns the two dimensional cartesian product.

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

cartesian_2D function

<dl><dt>array_x</dt>
<dd>A vector, indicating the first set.</dd>
<dt>array_y</dt>
<dd>A vector, indicating the second set.</dd></dl>

Arguments

<code>cartesian_2D</code> is used internally in other function(s) of ROCit.
Works if matrix/data frames are passed as arguments. However,
returns might not be valid if arguments are not one dimensional.

Comment

Cartesian Product of Two Vectors — cartesian_2D

<dl>

<dt>array_x</dt>
<dd>A vector, indicating the first set.</dd>


<dt>array_y</dt>
<dd>A vector, indicating the second set.</dd>

</dl>

<code>cartesian_2D</code> is used internally in other function(s) of ROCit.
Works if matrix/data frames are passed as arguments. However,
returns might not be valid if arguments are not one dimensional.

cartesian_2D: Cartesian Product of Two Vectors

Description

Usage

Value

Arguments

Comment

Examples