The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | concentric_3 |
Description | Concentric 3 on Kaiser |
This report file | final/concentric_3/concentric_3_report.html |
data file | /home/cssip_a/jsherrah/data/concentric_3.dat |
Time of completion | Thu Jun 4 08:31:49 1998 |
Duration of Batch | 17 hours, 7 minutes, 9 seconds |
Random Seed | 34089472 (from clock) |
Average generations per run | 51.00 |
Average failed feature creations per run | 454.50 |
Average fitness evalutions per run | 335320.60 |
Test Set Improvement | 21.28 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 460 | 230 | 231 | 921 |
1 | 790 | 395 | 394 | 1579 |
Total | 1250 | 625 | 625 | 2500 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 22.64 | 24.48 | 23.04 |
Min. Distance to Means(MDTM) | 48.48 | 50.88 | 51.52 |
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1 | 1.28 | 2.72 | 2.08 | 1.000 | 2 | 2 | 22 | PPD |
2 | 1.36 | 1.44 | 1.76 | 1.000 | 2 | 2 | 58 | PPD |
3 | 0.48 | 1.92 | 1.60 | 1.000 | 2 | 2 | 78 | PPD |
4 | 1.44 | 2.72 | 2.88 | 1.000 | 2 | 2 | 30 | PPD |
5 | 1.44 | 1.76 | 2.56 | 1.000 | 2 | 2 | 54 | PPD |
6 | 0.24 | 1.12 | 1.60 | 1.000 | 2 | 2 | 68 | PPD |
7 | 1.52 | 3.52 | 2.24 | 1.000 | 2 | 2 | 132 | PPD |
8 | 0.80 | 1.92 | 1.76 | 1.000 | 2 | 2 | 54 | PPD |
9 | 0.72 | 1.28 | 1.76 | 1.000 | 2 | 2 | 56 | PPD |
10 | 0.48 | 0.80 | 1.76 | 1.000 | 2 | 2 | 22 | PPD |
Ave. | 0.98 (0.46 ) | 1.92 (0.80 ) | 2.00 (0.41 ) | 1.00 (0.00 ) | 2.00 (0.00 ) | 2.00 (0.00 ) | 57.40 (30.63 ) | PPD |
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Total | ||
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Ground Truth |
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227 | 4 | 231 |
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7 | 387 | 394 | |
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234 | 391 | 625 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.079 |
Add-Feature Mutation | 0.097 |
Hoist Mutation | 0.089 |
Truncate Mutation | 0.116 |
Swap Mutation | 0.118 |
One-Symbol Mutation | 0.083 |
All-Nodes Mutation | 0.087 |
One-Node Mutation | 0.094 |
Grow Mutation | 0.094 |
High-Level Crossover | 0.143 |
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 |
concentric_3_gen.m | Matlab plot generation function |
concentric_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
concentric_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
concentric_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
concentric_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
concentric_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
concentric_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
concentric_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
concentric_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
concentric_3_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
concentric_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
concentric_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
concentric_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
concentric_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
concentric_3_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 |
concentric_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
concentric_3_bogv_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Validation Set Error for run x |
concentric_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
concentric_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
concentric_3_nftr_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of features per individual for run x |
concentric_3_nnode_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of nodes per individual for run x |
concentric_3_nint_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average number of introns per individual for run x |
concentric_3_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 |
concentric_3_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 |
concentric_3_opprob_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average probability of each genetic operator for run x |