The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | australian_3 |
Description | Australian 3 on Nyquist |
This report file | final/australian_3/australian_3_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/australian_3.dat |
Time of completion | Thu May 28 11:28:54 1998 |
Duration of Batch | 1 hours, 43 minutes, 28 seconds |
Random Seed | 18446744072241555456 (from clock) |
Average generations per run | 15.20 |
Average failed feature creations per run | 5464.70 |
Average fitness evalutions per run | 63826.40 |
Test Set Improvement | 20.81 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 191 | 97 | 95 | 383 |
1 | 154 | 75 | 78 | 307 |
Total | 345 | 172 | 173 | 690 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 37.97 | 41.28 | 36.99 |
Min. Distance to Means(MDTM) | 37.39 | 34.88 | 31.79 |
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1 | 16.81 | 12.79 | 11.56 | 1.000 | 1 | 1 | 1 | MDTM |
2 | 17.68 | 13.37 | 11.56 | 1.000 | 2 | 11 | 97 | MDTM |
3 | 16.23 | 12.21 | 11.56 | 1.000 | 3 | 9 | 36 | MDTM |
4 | 16.52 | 12.21 | 11.56 | 1.000 | 2 | 9 | 43 | MDTM |
5 | 16.81 | 12.79 | 11.56 | 1.000 | 1 | 1 | 7 | MDTM |
6 | 17.10 | 11.63 | 10.98 | 1.000 | 1 | 2 | 5 | MDTM |
7 | 16.52 | 12.21 | 10.98 | 1.000 | 2 | 3 | 7 | MDTM |
8 | 16.81 | 12.79 | 11.56 | 1.000 | 2 | 3 | 16 | MDTM |
9 | 15.94 | 11.63 | 11.56 | 1.000 | 4 | 11 | 76 | MDTM |
10 | 14.20 | 12.21 | 12.14 | 1.000 | 4 | 10 | 63 | MDTM |
Ave. | 16.46 (0.88 ) | 12.38 (0.52 ) | 11.50 (0.31 ) | 1.00 (0.00 ) | 2.20 (1.08 ) | 6.00 (4.10 ) | 35.10 (32.19 ) | MDTM |
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Total | ||
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Ground Truth |
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83 | 12 | 95 |
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7 | 71 | 78 | |
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90 | 83 | 173 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.100 |
Add-Feature Mutation | 0.096 |
Hoist Mutation | 0.099 |
Truncate Mutation | 0.100 |
Swap Mutation | 0.101 |
One-Symbol Mutation | 0.100 |
All-Nodes Mutation | 0.102 |
One-Node Mutation | 0.098 |
Grow Mutation | 0.101 |
High-Level Crossover | 0.104 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 10 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
australian_3_gen.m | Matlab plot generation function |
australian_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
australian_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
australian_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
australian_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
australian_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
australian_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
australian_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
australian_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
australian_3_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
australian_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
australian_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
australian_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
australian_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
australian_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 |
australian_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
australian_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 |
australian_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
australian_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
australian_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 |
australian_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 |
australian_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 |
australian_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 |
australian_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 |
australian_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 |