The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | cmc_1 |
Description | Contraceptive Method Choice 1 on Chamonix |
This report file | results/final/cmc_1/cmc_1_report.html |
data file | /home/users/jsherrah/EPrep3/data/cmc_1.dat |
Time of completion | Wed May 13 20:32:01 1998 |
Duration of Batch | 8 hours, 11 minutes, 53 seconds |
Random Seed | 18446744071698513920 (from clock) |
Average generations per run | 51.00 |
Average failed feature creations per run | 3437.60 |
Average fitness evalutions per run | 217576.70 |
Test Set Improvement | 23.31 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 314 | 157 | 158 | 629 |
1 | 167 | 82 | 84 | 333 |
2 | 255 | 129 | 127 | 511 |
Total | 736 | 368 | 369 | 1473 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 62.23 | 63.04 | 64.23 |
Min. Distance to Means(MDTM) | 62.91 | 65.22 | 59.35 |
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1 | 48.51 | 50.54 | 49.05 | 0.853 | 6 | 8 | 109 | MDTM |
2 | 46.33 | 46.74 | 40.65 | 0.999 | 3 | 5 | 60 | MDTM |
3 | 48.78 | 45.38 | 43.09 | 0.989 | 4 | 7 | 62 | MDTM |
4 | 43.75 | 45.11 | 40.92 | 0.999 | 4 | 6 | 41 | MDTM |
5 | 48.23 | 46.74 | 49.32 | 0.401 | 4 | 7 | 67 | MDTM |
6 | 43.61 | 45.65 | 41.73 | 0.971 | 4 | 6 | 83 | MDTM |
7 | 45.52 | 46.47 | 42.01 | 0.983 | 4 | 6 | 63 | MDTM |
8 | 46.88 | 46.47 | 47.43 | 0.302 | 4 | 9 | 151 | PPD |
9 | 47.15 | 48.10 | 44.99 | 0.785 | 5 | 5 | 62 | MDTM |
10 | 48.64 | 48.10 | 47.15 | 0.903 | 2 | 9 | 114 | MDTM |
Ave. | 46.74 (1.84 ) | 46.93 (1.54 ) | 44.63 (3.21 ) | 0.82 (0.24 ) | 4.00 (1.00 ) | 6.80 (1.40 ) | 81.20 (31.72 ) | MDTM |
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Total | |||
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Ground Truth |
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103 | 24 | 31 | 158 |
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16 | 56 | 12 | 84 | |
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35 | 33 | 59 | 127 | |
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154 | 113 | 102 | 369 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.092 |
Add-Feature Mutation | 0.103 |
Hoist Mutation | 0.098 |
Truncate Mutation | 0.103 |
Swap Mutation | 0.103 |
One-Symbol Mutation | 0.104 |
All-Nodes Mutation | 0.089 |
One-Node Mutation | 0.086 |
Grow Mutation | 0.104 |
High-Level Crossover | 0.119 |
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 |
cmc_1_gen.m | Matlab plot generation function |
cmc_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
cmc_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
cmc_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
cmc_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
cmc_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
cmc_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
cmc_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
cmc_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
cmc_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
cmc_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
cmc_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
cmc_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
cmc_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
cmc_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 |
cmc_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
cmc_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 |
cmc_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
cmc_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
cmc_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 |
cmc_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 |
cmc_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 |
cmc_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 |
cmc_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 |
cmc_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 |