GET_IdxQ_opt: Optimal 'Q' index

In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data

Description

Compute index of best performing number of PCA/PLS components Q from the cross-validation results.

Usage

GET_IdxQ_opt(perf, model, threshold)

Arguments

perf	Performance matrix.
model	Model type.
threshold	Threshold for choosing the optimal parameters. If threshold=0, then Q is the value that minimises RMSD (for Regression) or maximises AUC (for Classification). If threshold>0, then Q is the smallest value which gives a RMSD/AUC within a margin threshold of the optimal RMSD/AUC.

Value

The index of the best performing parameter Q.

pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.