The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | satimage_3 |
Description | Satimage 3 on Cortex |
This report file | justincase/satimage_3/satimage_3_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/satimage_3.dat |
Time of completion | Sat Jun 13 12:02:05 1998 |
Duration of Batch | 113 hours, 52 minutes, 18 seconds |
Random Seed | 573057194 (from clock) |
Average generations per run | 51.00 |
Average failed feature creations per run | 6839.30 |
Average fitness evalutions per run | 83724.10 |
Test Set Improvement | 4.97 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 767 | 382 | 384 | 1533 |
1 | 351 | 175 | 177 | 703 |
2 | 679 | 341 | 338 | 1358 |
3 | 313 | 156 | 157 | 626 |
4 | 353 | 176 | 178 | 707 |
5 | 754 | 378 | 376 | 1508 |
Total | 3217 | 1608 | 1610 | 6435 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 32.30 | 33.02 | 33.23 |
Min. Distance to Means(MDTM) | 22.66 | 23.26 | 20.31 |
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1 | 17.13 | 17.29 | 17.39 | 0.644 | 8 | 23 | 67 | MDTM |
2 | 14.64 | 16.98 | 18.01 | 0.540 | 15 | 36 | 791 | PPD |
3 | 16.35 | 17.85 | 16.46 | 0.992 | 11 | 14 | 38 | MDTM |
4 | 15.60 | 16.85 | 14.91 | 1.000 | 21 | 33 | 205 | MDTM |
5 | 15.82 | 17.35 | 20.06 | 0.051 | 12 | 35 | 322 | PPD |
6 | 17.03 | 17.35 | 16.02 | 0.997 | 11 | 25 | 106 | MDTM |
7 | 17.28 | 16.79 | 15.34 | 0.999 | 9 | 18 | 49 | MDTM |
8 | 17.53 | 18.10 | 16.34 | 0.992 | 6 | 35 | 459 | MDTM |
9 | 15.54 | 17.10 | 20.43 | 0.015 | 27 | 36 | 5073 | PPD |
10 | 17.72 | 18.03 | 15.65 | 0.999 | 9 | 28 | 115 | MDTM |
Ave. | 16.47 (0.97 ) | 17.37 (0.45 ) | 17.06 (1.82 ) | 0.72 (0.38 ) | 12.90 (6.16 ) | 28.30 (7.62 ) | 722.50(1467.31) | MDTM |
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Total | ||||||
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Ground Truth |
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362 | 0 | 1 | 2 | 19 | 0 | 384 |
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6 | 156 | 0 | 1 | 13 | 1 | 177 | |
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8 | 0 | 295 | 35 | 0 | 0 | 338 | |
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2 | 0 | 15 | 112 | 2 | 26 | 157 | |
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10 | 0 | 1 | 3 | 132 | 32 | 178 | |
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0 | 0 | 3 | 63 | 4 | 306 | 376 | |
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388 | 156 | 315 | 216 | 170 | 365 | 1610 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.099 |
Add-Feature Mutation | 0.096 |
Hoist Mutation | 0.107 |
Truncate Mutation | 0.087 |
Swap Mutation | 0.097 |
One-Symbol Mutation | 0.097 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.099 |
Grow Mutation | 0.104 |
High-Level Crossover | 0.114 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 0 |
Max. Generations | 10 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
satimage_3_gen.m | Matlab plot generation function |
satimage_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
satimage_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
satimage_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
satimage_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
satimage_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
satimage_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
satimage_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
satimage_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
satimage_3_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
satimage_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
satimage_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
satimage_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
satimage_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
satimage_3_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_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
satimage_3_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_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
satimage_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
satimage_3_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_3_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_3_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_3_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_3_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_3_opprob_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average probability of each genetic operator for run x |