print.multi_cutpointr

Prints the <code>multi_cutpointr</code> object with infinite width like a <code>tbl_df</code>.

Estimate cutpoints that optimize a specified metric in binary classification tasks
and validate performance using bootstrapping. Some methods for more robust cutpoint
estimation are supported, e.g. a parametric method assuming normal distributions,
bootstrapped cutpoints, and smoothing of the metric values per cutpoint using
Generalized Additive Models. Various plotting functions are included. For an overview
of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.

Christian Thiele

cutpointr

Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks

print.multi_cutpointr function

<dl><dt>x</dt>
<dd>a multi_cutpointr object.</dd>
<dt>n</dt>
<dd>number of rows to print.</dd>
<dt>...</dt>
<dd>further arguments.</dd></dl>

Arguments

Print multi_cutpointr objects — print.multi_cutpointr

<dl>

<dt>x</dt>
<dd>a multi_cutpointr object.</dd>


<dt>n</dt>
<dd>number of rows to print.</dd>


<dt>...</dt>
<dd>further arguments.</dd>

</dl>

print.multi_cutpointr: Print multi_cutpointr objects

Description

Usage

Arguments