getCutOffList

An ROCR performance class. (Usually made by generateAUC)

perf

A string. Indicates AUC_ROC or AU_PR and can be "SS" or "PR". 
Defaults to SS.

aucType

Binary value controlling list of all thresholds.

allCutoffsFlg

Calculates ideal cutoff by proximity to corner of the ROC curve.
Usually called from <code><a rd-options="" href="/link/generateAUC?package=healthcareai&version=1.2.4" data-mini-rdoc="healthcareai::generateAUC">generateAUC</a></code>

A machine learning toolbox tailored to healthcare data.
Aids in data cleaning, model development, hyperparameter tuning, and model
deployment in a production 'SQL' environment. Algorithms currently supported
are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.

Michael Levy

healthcareai

Tools for Healthcare Machine Learning

Levi Thatcher

Mike Mastanduno

Taylor Larsen

Taylor Miller

getCutOffList function

Calculates ideal cutoff by proximity to corner of the ROC curve.
Usually called from <code><a rd-options='' href='generateAUC'>generateAUC</a></code>

getCutOffList: Function to return ideal cutoff and TPR/FPR or precision/recall.

Description

Usage

Arguments

Value

References

See Also