The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | abalone_1 |
Description | Abalone 1 on Dobson |
This report file | results/final/abalone_1/abalone_1_report.html |
data file | /home/users/jsherrah/EPrep3/data/abalone_1.dat |
Time of completion | Fri May 22 06:23:52 1998 |
Duration of Batch | 42 hours, 55 minutes, 56 seconds |
Random Seed | 671654442 (from clock) |
Average generations per run | 25.20 |
Average failed feature creations per run | 1658.00 |
Average fitness evalutions per run | 58159.10 |
Test Set Improvement | 14.64 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 0 | 0 | 1 | 1 |
1 | 0 | 0 | 1 | 1 |
2 | 7 | 3 | 5 | 15 |
3 | 28 | 15 | 14 | 57 |
4 | 58 | 27 | 30 | 115 |
5 | 129 | 65 | 65 | 259 |
6 | 195 | 99 | 97 | 391 |
7 | 285 | 143 | 140 | 568 |
8 | 345 | 174 | 170 | 689 |
9 | 320 | 160 | 154 | 634 |
10 | 243 | 124 | 120 | 487 |
11 | 133 | 67 | 67 | 267 |
12 | 102 | 51 | 50 | 203 |
13 | 64 | 30 | 32 | 126 |
14 | 51 | 25 | 27 | 103 |
15 | 33 | 17 | 17 | 67 |
16 | 29 | 14 | 15 | 58 |
17 | 21 | 10 | 11 | 42 |
18 | 16 | 8 | 8 | 32 |
19 | 13 | 6 | 7 | 26 |
20 | 7 | 3 | 4 | 14 |
21 | 3 | 1 | 2 | 6 |
22 | 4 | 2 | 3 | 9 |
23 | 1 | 0 | 1 | 2 |
24 | 0 | 0 | 1 | 1 |
25 | 0 | 0 | 1 | 1 |
26 | 1 | 0 | 1 | 2 |
27 | 0 | 0 | 0 | 0 |
28 | 0 | 0 | 1 | 1 |
Total | 2088 | 1044 | 1045 | 4177 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Maximum Likelihood(ML) | 100.00 | 100.00 | 99.90 |
Parallelepiped(PPD) | 88.12 | 89.75 | 90.24 |
Min. Distance to Means(MDTM) | 91.67 | 91.09 | 91.39 |
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1 | 75.53 | 74.33 | 75.12 | 0.000 | 5 | 8 | 218 | MDTM |
2 | 76.48 | 75.10 | 77.22 | 0.000 | 3 | 8 | 100 | MDTM |
3 | 76.05 | 76.44 | 78.09 | 0.000 | 5 | 8 | 333 | MDTM |
4 | 76.72 | 78.16 | 75.89 | 0.000 | 4 | 8 | 53 | MDTM |
5 | 75.53 | 73.37 | 76.36 | 0.000 | 3 | 8 | 185 | MDTM |
6 | 76.05 | 75.29 | 80.38 | 0.000 | 4 | 8 | 165 | PPD |
7 | 73.71 | 73.18 | 75.60 | 0.000 | 4 | 7 | 91 | MDTM |
8 | 74.38 | 73.28 | 75.89 | 0.000 | 4 | 8 | 228 | MDTM |
9 | 75.48 | 74.90 | 75.89 | 0.000 | 6 | 8 | 237 | MDTM |
10 | 75.43 | 75.00 | 77.70 | 0.000 | 4 | 7 | 76 | PPD |
Ave. | 75.54 (0.87 ) | 74.90 (1.46 ) | 76.81 (1.50 ) | 0.00 (0.00 ) | 4.20 (0.87 ) | 7.80 (0.40 ) | 168.60(84.04 ) | MDTM |
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Ground Truth |
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0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
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0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | |
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0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | |
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0 | 0 | 3 | 3 | 10 | 11 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | |
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0 | 0 | 0 | 3 | 8 | 21 | 20 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 65 | |
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0 | 0 | 0 | 0 | 3 | 24 | 33 | 27 | 6 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | |
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0 | 0 | 1 | 0 | 1 | 7 | 22 | 43 | 44 | 12 | 6 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | |
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0 | 0 | 0 | 0 | 0 | 7 | 10 | 45 | 41 | 26 | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | |
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0 | 0 | 0 | 0 | 0 | 3 | 6 | 17 | 27 | 35 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 154 | |
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0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 21 | 11 | 61 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 120 | |
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0 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 10 | 10 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 67 | |
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0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 7 | 20 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 5 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 50 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 4 | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 32 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 9 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 27 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 17 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 15 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
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0 | 0 | 18 | 10 | 25 | 74 | 101 | 165 | 163 | 114 | 238 | 0 | 12 | 0 | 1 | 0 | 0 | 0 | 0 | 15 | 0 | 55 | 11 | 40 | 0 | 0 | 3 | 0 | 0 | 1045 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.103 |
Add-Feature Mutation | 0.099 |
Hoist Mutation | 0.097 |
Truncate Mutation | 0.101 |
Swap Mutation | 0.095 |
One-Symbol Mutation | 0.103 |
All-Nodes Mutation | 0.098 |
One-Node Mutation | 0.100 |
Grow Mutation | 0.099 |
High-Level Crossover | 0.105 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 3 |
Max. Generations | 7 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
abalone_1_gen.m | Matlab plot generation function |
abalone_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
abalone_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
abalone_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
abalone_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
abalone_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
abalone_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
abalone_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
abalone_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
abalone_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
abalone_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
abalone_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
abalone_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
abalone_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
abalone_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 |
abalone_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
abalone_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 |
abalone_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
abalone_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
abalone_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 |
abalone_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 |
abalone_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 |
abalone_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 |
abalone_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 |
abalone_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 |