The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | australian_2 |
Description | Australian 2 on Nyquist |
This report file | final/australian_2/australian_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/australian_2.dat |
Time of completion | Wed May 27 13:23:49 1998 |
Duration of Batch | 2 hours, 4 minutes, 16 seconds |
Random Seed | 33564673 (from clock) |
Average generations per run | 11.40 |
Average failed feature creations per run | 5548.00 |
Average fitness evalutions per run | 55647.40 |
Test Set Improvement | 22.54 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 192 | 95 | 96 | 383 |
1 | 153 | 77 | 77 | 307 |
Total | 345 | 172 | 173 | 690 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 35.36 | 37.79 | 39.31 |
Min. Distance to Means(MDTM) | 34.78 | 38.37 | 38.73 |
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1 | 13.33 | 11.63 | 16.76 | 1.000 | 5 | 9 | 55 | MDTM |
2 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 5 | 14 | MDTM |
3 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 1 | 1 | MDTM |
4 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 1 | 1 | MDTM |
5 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 1 | 1 | MDTM |
6 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 2 | 12 | MDTM |
7 | 13.91 | 12.79 | 17.34 | 1.000 | 1 | 1 | 2 | MDTM |
8 | 14.20 | 12.79 | 17.34 | 1.000 | 1 | 3 | 9 | MDTM |
9 | 13.62 | 12.21 | 17.34 | 1.000 | 5 | 9 | 67 | MDTM |
10 | 12.46 | 11.63 | 16.18 | 1.000 | 3 | 7 | 43 | MDTM |
Ave. | 13.71 (0.47 ) | 12.50 (0.47 ) | 17.17 (0.37 ) | 1.00 (0.00 ) | 2.00 (1.61 ) | 3.90 (3.18 ) | 20.50 (23.64 ) | MDTM |
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Total | ||
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Ground Truth |
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78 | 18 | 96 |
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11 | 66 | 77 | |
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89 | 84 | 173 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.098 |
Add-Feature Mutation | 0.100 |
Hoist Mutation | 0.100 |
Truncate Mutation | 0.100 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.101 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.102 |
Grow Mutation | 0.102 |
High-Level Crossover | 0.100 |
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_2_gen.m | Matlab plot generation function |
australian_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
australian_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
australian_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
australian_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
australian_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
australian_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
australian_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
australian_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
australian_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
australian_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
australian_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
australian_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
australian_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
australian_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 |
australian_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
australian_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 |
australian_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
australian_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
australian_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 |
australian_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 |
australian_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 |
australian_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 |
australian_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 |
australian_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 |