ToolboxPerformance

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PLS_Toolbox Performance

This page presents performance results from the main regression methods in PLS_Toolbox to allow comparison of their time and memory requirements when analyzing datasets of various sizes. These results were obtained using a Mac OSX (El Capitan) computer with a 2.8 GHz Intel CPU and 16 GB RAM. Matlab version R2015a and PLS_Toolbox version 8.1 were used.

All results were obtained by building models from the command line using synthetic random datasets. Autoscale preprocessing was used with the default option values for all methods. Cross-validation was not performed.


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 0.2 GB 1 GB 4 GB
50000 samples 0.5 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 0.6 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


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