The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | spirals_1 |
Description | Spirals 1 on Gauss |
This report file | final/spirals_1/spirals_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/spirals_1.dat |
Time of completion | Thu Jun 4 05:26:34 1998 |
Duration of Batch | 9 hours, 12 minutes, 15 seconds |
Random Seed | 2181202091 (from clock) |
Average generations per run | 49.20 |
Average failed feature creations per run | 534.60 |
Average fitness evalutions per run | 434505.90 |
Test Set Improvement | 24.22 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 88 | 49 | 248 | 385 |
1 | 106 | 48 | 231 | 385 |
Total | 194 | 97 | 479 | 770 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Maximum Likelihood(ML) | 43.81 | 48.45 | 48.43 |
Parallelepiped(PPD) | 49.48 | 49.48 | 50.31 |
Min. Distance to Means(MDTM) | 46.91 | 50.52 | 51.57 |
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1 | 22.68 | 26.80 | 31.32 | 1.000 | 1 | 2 | 17 | ML |
2 | 17.01 | 22.68 | 24.22 | 1.000 | 2 | 2 | 22 | ML |
3 | 18.56 | 23.71 | 26.72 | 1.000 | 2 | 2 | 31 | ML |
4 | 26.29 | 27.84 | 32.99 | 1.000 | 1 | 2 | 71 | ML |
5 | 20.10 | 25.77 | 29.44 | 1.000 | 2 | 2 | 39 | ML |
6 | 20.10 | 25.77 | 31.52 | 1.000 | 2 | 2 | 22 | ML |
7 | 20.62 | 26.80 | 24.63 | 1.000 | 2 | 2 | 16 | ML |
8 | 20.10 | 24.74 | 29.44 | 1.000 | 2 | 2 | 19 | ML |
9 | 31.96 | 31.96 | 29.85 | 1.000 | 1 | 1 | 8 | PPD |
10 | 23.71 | 28.87 | 29.65 | 1.000 | 2 | 2 | 9 | ML |
Ave. | 22.11 (4.13 ) | 26.49 (2.53 ) | 28.98 (2.76 ) | 1.00 (0.00 ) | 1.70 (0.46 ) | 1.90 (0.30 ) | 25.40 (17.58 ) | ML |
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Total | ||
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Ground Truth |
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189 | 59 | 248 |
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57 | 174 | 231 | |
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246 | 233 | 479 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.085 |
Add-Feature Mutation | 0.107 |
Hoist Mutation | 0.100 |
Truncate Mutation | 0.077 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.096 |
All-Nodes Mutation | 0.095 |
One-Node Mutation | 0.092 |
Grow Mutation | 0.088 |
High-Level Crossover | 0.160 |
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_1_gen.m | Matlab plot generation function |
spirals_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
spirals_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
spirals_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
spirals_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
spirals_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
spirals_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
spirals_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
spirals_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
spirals_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
spirals_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
spirals_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
spirals_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
spirals_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
spirals_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 |
spirals_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
spirals_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 |
spirals_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
spirals_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |
spirals_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 |