modError

true

estimated

Logical: If TRUE, print output to screen

verbose

String: "Regression", "Classification", or "Survival". If not provided, will be set
to Regression if y is numeric.

type

Logical: If TRUE, calculate Spearman's rho. Default = TRUE

Logical: If TRUE, calculate Kendall's tau. Default = FALSE
This can be slow for long vectors

Logical: Passed to <code>mean</code> and <code>range</code> functions. Default = TRUE

na.rm

Calculate error metrics for pair of vector, e.g. true and estimated values from a model

Advanced Machine Learning and Visualization made efficient and accessible. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression, Survival Analysis), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and dynamic graphs.

modError: Error Metrics for Supervised Learning

Description

Usage

Arguments

Value

Details