ToolboxPerformance

PLS_Toolbox Performance

The following performance results are for general comparison and expectation. Your own mileage may vary.

Performance Table

Matlab Versoin	PLS_Toolbox Version	Operating System	System Description	Data Description	Algorithm	Performance Result
2015a	8.1.1	OS X El Capitan	2.8 GHz Intel, 16 GB ram	cell	cell

Table 1. Properties of different cross-validation methods in Solo and PLS_Toolbox.

	Venetian Blinds	Contiguous Blocks	Random Subsets	Leave-One Out	Custom
Test sample selection scheme					User-defined subsets Can "force" specific objects into every test set, every model set, or exclude them from the CV procedure
Parameters	Number of Data Splits (s) Maximum number of PCs/LVs Total number of objects/samples (n)	Number of Data Splits (s) Maximum number of PCs/LVs Total number of objects/samples (n)	Number of Data Splits (s) Number of iterations (r) Maximum number of PCs/LVs Total number of objects/samples (n)	Maximum number of PCs/LVs Total number of objects/samples (n)	Number of data splits (s) Object membership for each split All user-defined Total number of objects/samples (n)
Number of sub-validation experiments	= s	= s	= (s * r)	= n	= s
Number of test samples per sub-validation	= n/s	= n/s	= n/s	=1	Can vary, user defined