ToolboxPerformance
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PLS_Toolbox Performance
The following performance results are for general comparison and expectation. Your own mileage may vary.
Matlab Versoin | PLS_Toolbox Version | Operating System | System Description | Data Description | Algorithm | Performance Result |
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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 | |
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Table 2. Performance of nnon-linear methods
Venetian Blinds | Contiguous Blocks | Random Subsets | Leave-One Out | Custom | |
Test sample selection scheme |
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'100 Samples | |||||
500 Samples |
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1000 samples |
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Table 2. Performance of nnon-linear methods
Venetian Blinds | Contiguous Blocks | Random Subsets | |
Test sample selection scheme |
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Parameters |
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Number of sub-validation experiments |
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Table 3. ANN
Venetian Blinds | Contiguous Blocks | Random Subsets | |
Test sample selection scheme |
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Parameters |
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Number of sub-validation experiments |
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Table 4. SVM
100 variables | 500 variables | 1000 variables | |
100 samples |
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500 samples |
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1000 samples |
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