The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | balance_1 |
Description | Balance 1 on Cortex |
This report file | final/balance_1/balance_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/balance_1.dat |
Time of completion | Tue May 12 15:11:07 1998 |
Duration of Batch | 0 hours, 25 minutes, 33 seconds |
Random Seed | 715260416 (from clock) |
Average generations per run | 9.30 |
Average failed feature creations per run | 277.00 |
Average fitness evalutions per run | 30937.10 |
Test Set Improvement | 22.29 % |
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) | 29.17 | 28.85 | 22.29 |
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1 | 0.00 | 0.00 | 0.00 | 1.000 | 2 | 4 | 22 | MDTM |
2 | 13.46 | 17.31 | 16.56 | 0.941 | 4 | 4 | 56 | MDTM |
3 | 24.04 | 21.15 | 22.93 | 0.421 | 2 | 4 | 141 | MDTM |
4 | 0.00 | 0.00 | 0.00 | 1.000 | 2 | 4 | 21 | PPD |
5 | 7.05 | 10.26 | 8.92 | 0.999 | 4 | 4 | 155 | PPD |
6 | 0.00 | 0.00 | 0.00 | 1.000 | 1 | 4 | 11 | PPD |
7 | 0.00 | 0.00 | 0.00 | 1.000 | 3 | 4 | 16 | PPD |
8 | 0.00 | 0.00 | 0.64 | 1.000 | 3 | 4 | 72 | PPD |
9 | 0.00 | 0.00 | 0.00 | 1.000 | 2 | 4 | 34 | MDTM |
10 | 0.00 | 0.00 | 0.00 | 1.000 | 1 | 4 | 7 | PPD |
Ave. | 4.46 (7.81 ) | 4.87 (7.84 ) | 4.90 (8.00 ) | 0.94 (0.17 ) | 2.40 (1.02 ) | 4.00 (0.00 ) | 53.50 (51.10 ) | 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 | 0.099 |
Add-Feature Mutation | 0.100 |
Hoist Mutation | 0.100 |
Truncate Mutation | 0.099 |
Swap Mutation | 0.101 |
One-Symbol Mutation | 0.099 |
All-Nodes Mutation | 0.100 |
One-Node Mutation | 0.102 |
Grow Mutation | 0.099 |
High-Level Crossover | 0.101 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 3 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 7 |
Total | 10 |
Related Data Files
Description | Filename |
balance_1_gen.m | Matlab plot generation function |
balance_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
balance_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
balance_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
balance_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
balance_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
balance_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
balance_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
balance_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
balance_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
balance_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
balance_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
balance_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
balance_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
balance_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 |
balance_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
balance_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 |
balance_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
balance_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |
balance_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 |