The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | satimage_1 |
Description | Satimage 1 on Gauss |
This report file | final/satimage_1/satimage_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/satimage_1.dat |
Time of completion | Sat May 23 05:06:06 1998 |
Duration of Batch | 65 hours, 16 minutes, 11 seconds |
Random Seed | 2183176873 (from clock) |
Average generations per run | 25.40 |
Average failed feature creations per run | 4207.80 |
Average fitness evalutions per run | 20528.20 |
Test Set Improvement | 2.24 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 767 | 384 | 382 | 1533 |
1 | 351 | 175 | 177 | 703 |
2 | 679 | 339 | 340 | 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) | 32.27 | 33.40 | 34.53 |
Min. Distance to Means(MDTM) | 21.54 | 21.83 | 23.91 |
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1 | 24.96 | 28.61 | 30.43 | 0.000 | 17 | 36 | 745 | PPD |
2 | 19.21 | 20.27 | 24.84 | 0.000 | 21 | 36 | 516 | PPD |
3 | 22.38 | 24.63 | 24.91 | 0.000 | 11 | 36 | 899 | PPD |
4 | 22.41 | 22.64 | 24.29 | 0.000 | 2 | 6 | 9 | MDTM |
5 | 17.94 | 19.65 | 21.68 | 0.618 | 25 | 36 | 856 | PPD |
6 | 20.92 | 24.25 | 43.11 | 0.000 | 19 | 36 | 763 | PPD |
7 | 20.42 | 20.21 | 22.55 | 0.970 | 24 | 24 | 24 | MDTM |
8 | 24.74 | 25.56 | 25.71 | 0.000 | 3 | 8 | 25 | MDTM |
9 | 20.42 | 20.21 | 22.55 | 0.970 | 24 | 24 | 24 | MDTM |
10 | 19.18 | 19.22 | 21.68 | 0.203 | 18 | 36 | 856 | PPD |
Ave. | 21.26 (2.23 ) | 22.52 (2.98 ) | 26.17 (6.15 ) | 0.28 (0.39 ) | 16.40 (7.98 ) | 27.80 (11.40 ) | 471.70(381.31) | PPD |
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Total | ||||||
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Ground Truth |
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313 | 2 | 17 | 5 | 44 | 1 | 382 |
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3 | 165 | 0 | 2 | 6 | 1 | 177 | |
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1 | 0 | 333 | 2 | 2 | 2 | 340 | |
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0 | 0 | 63 | 7 | 2 | 85 | 157 | |
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20 | 2 | 5 | 1 | 129 | 21 | 178 | |
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0 | 0 | 28 | 2 | 32 | 314 | 376 | |
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337 | 169 | 446 | 19 | 215 | 424 | 1610 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.102 |
Add-Feature Mutation | 0.098 |
Hoist Mutation | 0.108 |
Truncate Mutation | 0.098 |
Swap Mutation | 0.098 |
One-Symbol Mutation | 0.093 |
All-Nodes Mutation | 0.097 |
One-Node Mutation | 0.095 |
Grow Mutation | 0.097 |
High-Level Crossover | 0.115 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 7 |
Max. Generations | 3 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
satimage_1_gen.m | Matlab plot generation function |
satimage_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
satimage_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
satimage_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
satimage_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
satimage_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
satimage_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
satimage_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
satimage_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
satimage_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
satimage_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
satimage_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
satimage_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
satimage_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
satimage_1_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_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
satimage_1_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_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
satimage_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
satimage_1_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_1_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_1_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_1_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_1_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_1_opprob_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average probability of each genetic operator for run x |