The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | satimage_2 |
Description | Satimage 2 on Cortex |
This report file | final/satimage_2/satimage_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/satimage_2.dat |
Time of completion | Mon Jun 8 10:14:24 1998 |
Duration of Batch | 95 hours, 51 minutes, 6 seconds |
Random Seed | 2720038922 (from clock) |
Average generations per run | 50.70 |
Average failed feature creations per run | 6915.60 |
Average fitness evalutions per run | 84420.90 |
Test Set Improvement | 7.20 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 766 | 384 | 383 | 1533 |
1 | 351 | 175 | 177 | 703 |
2 | 679 | 340 | 339 | 1358 |
3 | 313 | 157 | 156 | 626 |
4 | 354 | 175 | 178 | 707 |
5 | 754 | 377 | 377 | 1508 |
Total | 3217 | 1608 | 1610 | 6435 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 36.28 | 35.39 | 37.95 |
Min. Distance to Means(MDTM) | 22.44 | 20.65 | 23.66 |
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1 | 16.44 | 15.98 | 17.27 | 1.000 | 13 | 27 | 75 | MDTM |
2 | 21.45 | 19.96 | 23.04 | 0.500 | 30 | 30 | 30 | MDTM |
3 | 17.44 | 16.73 | 17.89 | 1.000 | 19 | 36 | 4581 | MDTM |
4 | 15.82 | 14.74 | 16.46 | 1.000 | 15 | 18 | 60 | MDTM |
5 | 17.90 | 17.79 | 21.55 | 0.278 | 15 | 36 | 365 | PPD |
6 | 21.48 | 20.90 | 21.68 | 0.579 | 4 | 4 | 7 | MDTM |
7 | 21.45 | 19.96 | 23.04 | 0.500 | 30 | 30 | 30 | MDTM |
8 | 16.66 | 15.49 | 16.71 | 1.000 | 13 | 14 | 38 | MDTM |
9 | 19.49 | 21.33 | 24.72 | 0.000 | 26 | 36 | 1896 | PPD |
10 | 16.47 | 15.67 | 17.52 | 1.000 | 13 | 19 | 64 | MDTM |
Ave. | 18.46 (2.18 ) | 17.85 (2.35 ) | 19.99 (2.96 ) | 0.69 (0.35 ) | 17.80 (8.01 ) | 25.00 (10.32 ) | 714.60(1400.85) | MDTM |
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Total | ||||||
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Ground Truth |
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363 | 0 | 10 | 4 | 6 | 0 | 383 |
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1 | 147 | 0 | 0 | 29 | 0 | 177 | |
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2 | 0 | 298 | 35 | 1 | 3 | 339 | |
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0 | 0 | 30 | 102 | 2 | 22 | 156 | |
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3 | 0 | 2 | 8 | 144 | 21 | 178 | |
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0 | 0 | 6 | 70 | 10 | 291 | 377 | |
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369 | 147 | 346 | 219 | 192 | 337 | 1610 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.101 |
Add-Feature Mutation | 0.090 |
Hoist Mutation | 0.090 |
Truncate Mutation | 0.086 |
Swap Mutation | 0.108 |
One-Symbol Mutation | 0.096 |
All-Nodes Mutation | 0.093 |
One-Node Mutation | 0.112 |
Grow Mutation | 0.107 |
High-Level Crossover | 0.116 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 1 |
Max. Generations | 9 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
satimage_2_gen.m | Matlab plot generation function |
satimage_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
satimage_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
satimage_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
satimage_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
satimage_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
satimage_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
satimage_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
satimage_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
satimage_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
satimage_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
satimage_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
satimage_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
satimage_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
satimage_2_tst_bor_x.pred x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Test set predictions for best-of-run individual from run x |
satimage_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
satimage_2_bogv_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Validation Set Error for run x |
satimage_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
satimage_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
satimage_2_nftr_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of features per individual for run x |
satimage_2_nnode_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of nodes per individual for run x |
satimage_2_nint_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of introns per individual for run x |
satimage_2_ntrl_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of RAT trials per individual for run x |
satimage_2_optimp_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average improvement in fitness due to optimisation for run x |
satimage_2_opprob_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average probability of each genetic operator for run x |