The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | spirals_2 |
Description | Spirals 2 on Hilbert |
This report file | final/spirals_2/spirals_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/spirals_2.dat |
Time of completion | Thu Jun 4 04:53:38 1998 |
Duration of Batch | 8 hours, 34 minutes, 27 seconds |
Random Seed | 2130561 (from clock) |
Average generations per run | 45.30 |
Average failed feature creations per run | 538.00 |
Average fitness evalutions per run | 426885.60 |
Test Set Improvement | 17.12 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 109 | 47 | 229 | 385 |
1 | 85 | 50 | 250 | 385 |
Total | 194 | 97 | 479 | 770 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Maximum Likelihood(ML) | 44.33 | 46.39 | 51.77 |
Parallelepiped(PPD) | 47.42 | 54.64 | 50.52 |
Min. Distance to Means(MDTM) | 48.45 | 52.58 | 51.57 |
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1 | 23.71 | 28.87 | 38.41 | 1.000 | 2 | 2 | 59 | ML |
2 | 16.49 | 23.71 | 29.65 | 1.000 | 2 | 2 | 72 | ML |
3 | 22.68 | 23.71 | 30.48 | 1.000 | 1 | 2 | 52 | ML |
4 | 23.71 | 26.80 | 27.14 | 1.000 | 2 | 2 | 12 | ML |
5 | 17.01 | 35.05 | 32.99 | 1.000 | 2 | 2 | 118 | PPD |
6 | 26.29 | 19.59 | 34.66 | 1.000 | 2 | 2 | 38 | ML |
7 | 21.13 | 25.77 | 27.56 | 1.000 | 2 | 2 | 53 | ML |
8 | 22.68 | 23.71 | 27.56 | 1.000 | 2 | 2 | 12 | ML |
9 | 14.43 | 21.65 | 25.89 | 1.000 | 2 | 2 | 50 | ML |
10 | 19.59 | 28.87 | 32.57 | 1.000 | 2 | 2 | 36 | ML |
Ave. | 20.77 (3.59 ) | 25.77 (4.17 ) | 30.69 (3.75 ) | 1.00 (0.00 ) | 1.90 (0.30 ) | 2.00 (0.00 ) | 50.20 (29.03 ) | ML |
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Total | ||
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Ground Truth |
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137 | 92 | 229 |
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74 | 176 | 250 | |
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211 | 268 | 479 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.096 |
Add-Feature Mutation | 0.106 |
Hoist Mutation | 0.089 |
Truncate Mutation | 0.091 |
Swap Mutation | 0.101 |
One-Symbol Mutation | 0.100 |
All-Nodes Mutation | 0.090 |
One-Node Mutation | 0.096 |
Grow Mutation | 0.091 |
High-Level Crossover | 0.141 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 10 |
GL Criterion | 0 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
spirals_2_gen.m | Matlab plot generation function |
spirals_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
spirals_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
spirals_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
spirals_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
spirals_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
spirals_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
spirals_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
spirals_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
spirals_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
spirals_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
spirals_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
spirals_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
spirals_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
spirals_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 |
spirals_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
spirals_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 |
spirals_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
spirals_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |