ToolboxPerformance: Difference between revisions
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'''Table 1. | '''Table 1. PCA''' | ||
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| | | | |'''100 samples''' | ||
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'''Table 3. ANN''' | |||
'''Table | |||
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Revision as of 14:24, 8 September 2016
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 |
|---|---|---|---|---|---|---|
| 2015a | 8.1.1 | OS X El Capitan | 2.8 GHz Intel, 16 GB ram | cell | cell |
Table 1. PCA
| 100 variables | 500 variables | 1000 variables | |
| 100 samples |
| ||
| 500 samples |
| ||
| 1000 samples |
|
Table 2. Performance of nnon-linear methods
| Venetian Blinds | Contiguous Blocks | Random Subsets | Leave-One Out | Custom | |
| Test sample selection scheme |
| ||||
| '100 Samples | |||||
| 500 Samples |
|
| |||
| 1000 samples |
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Table 3. ANN
| 100 variables | 500 variables | 1000 variables | |
| 100 samples |
| ||
| 500 samples |
| ||
| 1000 samples |
|
Table 4. SVM
| 100 variables | 500 variables | 1000 variables | |
| 100 samples |
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| 500 samples |
| ||
| 1000 samples |
|