The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | balance_3 |
Description | Balance 3 on Nyquist |
This report file | final/balance_3/balance_3_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/balance_3.dat |
Time of completion | Tue May 26 21:49:23 1998 |
Duration of Batch | 0 hours, 21 minutes, 45 seconds |
Random Seed | 18446744071572555808 (from clock) |
Average generations per run | 9.50 |
Average failed feature creations per run | 267.30 |
Average fitness evalutions per run | 30236.30 |
Test Set Improvement | 24.20 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 144 | 72 | 72 | 288 |
1 | 24 | 12 | 13 | 49 |
2 | 144 | 72 | 72 | 288 |
Total | 312 | 156 | 157 | 625 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 53.85 | 53.85 | 54.14 |
Min. Distance to Means(MDTM) | 27.56 | 25.00 | 24.84 |
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1 | 15.38 | 15.38 | 22.93 | 0.382 | 1 | 4 | 31 | PPD |
2 | 0.00 | 0.64 | 0.00 | 1.000 | 1 | 4 | 7 | PPD |
3 | 13.14 | 13.46 | 48.41 | 0.000 | 3 | 4 | 85 | PPD |
4 | 0.00 | 0.00 | 1.27 | 1.000 | 1 | 4 | 10 | PPD |
5 | 15.38 | 16.03 | 15.92 | 0.875 | 2 | 4 | 66 | MDTM |
6 | 0.00 | 0.00 | 0.00 | 1.000 | 1 | 4 | 8 | PPD |
7 | 0.00 | 0.00 | 0.64 | 1.000 | 1 | 4 | 7 | PPD |
8 | 4.17 | 5.13 | 24.20 | 0.440 | 2 | 4 | 64 | PPD |
9 | 0.00 | 0.00 | 1.27 | 1.000 | 1 | 4 | 7 | PPD |
10 | 21.47 | 25.64 | 28.66 | 0.003 | 4 | 4 | 92 | PPD |
Ave. | 6.96 (8.01 ) | 7.63 (8.81 ) | 14.33 (15.75 ) | 0.67 (0.40 ) | 1.70 (1.00 ) | 4.00 (0.00 ) | 37.70 (33.47 ) | PPD |
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Total | |||
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Ground Truth |
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72 | 0 | 0 | 72 |
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0 | 13 | 0 | 13 | |
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0 | 1 | 71 | 72 | |
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72 | 14 | 71 | 157 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.100 |
Add-Feature Mutation | 0.102 |
Hoist Mutation | 0.099 |
Truncate Mutation | 0.098 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.101 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.100 |
Grow Mutation | 0.101 |
High-Level Crossover | 0.100 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 6 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 4 |
Total | 10 |
Related Data Files
Description | Filename |
balance_3_gen.m | Matlab plot generation function |
balance_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
balance_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
balance_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
balance_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
balance_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
balance_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
balance_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
balance_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
balance_3_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
balance_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
balance_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
balance_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
balance_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
balance_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 |
balance_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
balance_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 |
balance_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
balance_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |