The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | monks_3 |
Description | Monks 3 on Nyquist |
This report file | final/monks_3/monks_3_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/monks_3.dat |
Time of completion | Tue May 12 20:07:02 1998 |
Duration of Batch | 0 hours, 5 minutes, 29 seconds |
Random Seed | 170437258 (from clock) |
Average generations per run | 16.50 |
Average failed feature creations per run | 12557.30 |
Average fitness evalutions per run | 6616.50 |
Test Set Improvement | 16.67 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 40 | 22 | 204 | 266 |
1 | 41 | 19 | 228 | 288 |
Total | 81 | 41 | 432 | 554 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 50.62 | 46.34 | 52.78 |
Min. Distance to Means(MDTM) | 24.69 | 26.83 | 19.44 |
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1 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 8 | MDTM |
2 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 7 | MDTM |
3 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 7 | MDTM |
4 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 7 | MDTM |
5 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 10 | MDTM |
6 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 17 | MDTM |
7 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 7 | MDTM |
8 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 7 | MDTM |
9 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 4 | 16 | MDTM |
10 | 4.94 | 9.76 | 2.78 | 1.000 | 2 | 2 | 6 | MDTM |
Ave. | 4.94 (0.00 ) | 9.76 (0.00 ) | 2.78 (0.00 ) | 1.00 (0.00 ) | 2.00 (0.00 ) | 2.20 (0.60 ) | 9.20 (3.79 ) | MDTM |
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Total | ||
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Ground Truth |
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204 | 0 | 204 |
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12 | 216 | 228 | |
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216 | 216 | 432 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.098 |
Add-Feature Mutation | 0.100 |
Hoist Mutation | 0.100 |
Truncate Mutation | 0.099 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.100 |
All-Nodes Mutation | 0.102 |
One-Node Mutation | 0.098 |
Grow Mutation | 0.101 |
High-Level Crossover | 0.102 |
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 |
monks_3_gen.m | Matlab plot generation function |
monks_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
monks_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
monks_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
monks_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
monks_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
monks_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
monks_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
monks_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
monks_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
monks_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
monks_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
monks_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
monks_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 |
monks_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
monks_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 |
monks_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
monks_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
monks_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 |
monks_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 |
monks_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 |
monks_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 |
monks_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 |