Comparemodels

Purpose

Create summary table of models' performance statistics.

Synopsis

[columnkeys columnlabels tablevalues] = comparemodels(models)

[columnkeys columnlabels tablevalues] = comparemodels(models,options)

Description

Generate a table which summarizes the performance of a set of input models, and also shows their relevant input parameters and options. This is useful for comparing the quality of a set of models. The table shows:

• Parameters- parameters and important options from each model (LVs, PCs, gamma, number of points, etc).
• Statistics: (RMSEC/CV/P, # of support vectors, classification error rates as False Pos/Neg Rate average over classes. In all cases, value must be a single value for a given model (no vectors). Models which are not in the supported model list are ignored (see getallowedmodeltypes).

Inputs

• models = a cell array containing one or more models.

Outputs

• firstout = first output is this.

Options

options = a structure array with the following fields:

• display: [ 'off' | {'on'} ] governs level of display to command window.
• plots: [ 'final' | {'none'} ] governs level of plotting.
• category: [ {'all'} | 'classification' | 'regression' | 'decomposition' ] restrict output to models of this category type, or all.

See Also

modeloptimizer, modeloptimizergui