ToolboxPerformance
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 |
All results were obtained by building models from the command line with synthetic random data, autoscaling for preprocessing and using default option values for all methods. Note that cross-validation was not used.
PCA time in seconds required to build model
1000 variables | 2000 variables | 5000 variables | |
20000 samples | 2 | 4.7 | 40 |
50000 samples | 3.5 | 9 | 61 |
PCA memory requirements
1000 variables | 2000 variables | 5000 variables | |
20000 samples | 0.2 GB | 1 GB | 3.5 GB |
50000 samples | 3.55 | 9 GB | 10.5 GB |
PCR time in seconds required to build model
1000 variables | 2000 variables | 5000 variables | |
20000 samples | 3 | 6 | 44 |
50000 samples | 5 | 12 | 71 |
PCR memory requirements
1000 variables | 2000 variables | 5000 variables | |
20000 samples | .2 GB | 1 | 4 GB |
50000 samples | .5 GB | 4 GB | 11 |
PLS time in seconds required to build model
1000 variables | 2000 variables | 5000 variables | |
20000 samples | 3.3 | 8 | 43 |
50000 samples | 8 | 18 | 98 |
PLS Memory requirements
100 variables | 500 variables | 1000 variables | |
100 samples | 1 GB | 2 GB | 5 GB |
500 samples | 1.6 GB | 5.2 GB | 13 GB |
LWR time in seconds required to build model
1000 variables | 5000 variables | 10000 variables | |
20000 samples | 4 | 65 | 76 |
50000 samples | 10 | 77 | 670 |
LWR memory requirements
1000 variables | 2000 variables | 5000 variables | |
20000 samples | <1 GB | 2 GB | 3.5 GB |
50000 samples | .6 GB | 3 GB | 6.75 GB |
ANN time in seconds required to build model
100 variables | 500 variables | 1000 variables | |
500 samples | 6 | 28 | 95 |
1000 samples | 10 | 370 | 360 |
2000 samples | 12 | 550 | 2810 s |
SVM time in seconds required to train model
100 variables | 500 variables | 2000 variables | |
100 samples | 8 | 28 | 105 |
500 samples | 150 | 640 | 2370 |
1000 samples |
SVM with PCA compression time in seconds required to build model
100 variables | 500 variables | 1000 variables | |
100 samples | 4 | 4 | 4 |
500 samples | 38 | 38 | 38 |
1000 samples |
SVM memory requirements
100 variables | 500 variables | 1000 variables | |
100 samples | |||
500 samples | |||
1000 samples |