The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | balance_2 |
Description | Balance 2 on Nyquist |
This report file | final/balance_2/balance_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/balance_2.dat |
Time of completion | Tue May 26 21:06:31 1998 |
Duration of Batch | 0 hours, 35 minutes, 49 seconds |
Random Seed | 545268232 (from clock) |
Average generations per run | 14.30 |
Average failed feature creations per run | 265.20 |
Average fitness evalutions per run | 50241.50 |
Test Set Improvement | 22.93 % |
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) | 26.28 | 27.56 | 22.93 |
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1 | 13.46 | 9.62 | 10.83 | 0.996 | 2 | 4 | 96 | MDTM |
2 | 0.00 | 0.64 | 0.00 | 1.000 | 1 | 4 | 11 | PPD |
3 | 0.00 | 0.00 | 0.00 | 1.000 | 1 | 4 | 7 | PPD |
4 | 0.00 | 2.56 | 0.00 | 1.000 | 1 | 4 | 7 | PPD |
5 | 26.28 | 26.28 | 31.21 | 0.001 | 3 | 4 | 305 | MDTM |
6 | 18.91 | 17.31 | 19.11 | 0.154 | 3 | 4 | 106 | PPD |
7 | 13.14 | 18.59 | 12.74 | 0.980 | 1 | 4 | 198 | PPD |
8 | 0.00 | 0.00 | 1.27 | 1.000 | 1 | 4 | 57 | PPD |
9 | 0.00 | 0.00 | 0.00 | 1.000 | 1 | 4 | 14 | PPD |
10 | 7.69 | 13.46 | 10.83 | 0.987 | 4 | 4 | 271 | PPD |
Ave. | 7.95 (9.11 ) | 8.85 (9.13 ) | 8.60 (9.99 ) | 0.81 (0.37 ) | 1.80 (1.08 ) | 4.00 (0.00 ) | 107.20(107.18) | 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 | 0 | 72 | 72 | |
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72 | 13 | 72 | 157 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.098 |
Add-Feature Mutation | 0.103 |
Hoist Mutation | 0.093 |
Truncate Mutation | 0.105 |
Swap Mutation | 0.099 |
One-Symbol Mutation | 0.097 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.100 |
Grow Mutation | 0.100 |
High-Level Crossover | 0.106 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 1 |
GL Criterion | 6 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 3 |
Total | 10 |
Related Data Files
Description | Filename |
balance_2_gen.m | Matlab plot generation function |
balance_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
balance_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
balance_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
balance_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
balance_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
balance_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
balance_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
balance_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
balance_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
balance_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
balance_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
balance_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
balance_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
balance_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 |
balance_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
balance_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 |
balance_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
balance_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |