The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | monks_1 |
Description | Monks 1 on Gauss |
This report file | final/monks_1/monks_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/monks_1.dat |
Time of completion | Tue May 12 21:35:22 1998 |
Duration of Batch | 0 hours, 53 minutes, 59 seconds |
Random Seed | 573180033 (from clock) |
Average generations per run | 13.60 |
Average failed feature creations per run | 12951.30 |
Average fitness evalutions per run | 80537.60 |
Test Set Improvement | 27.08 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 42 | 20 | 216 | 278 |
1 | 40 | 22 | 216 | 278 |
Total | 82 | 42 | 432 | 556 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 34.15 | 33.33 | 33.33 |
Min. Distance to Means(MDTM) | 30.49 | 38.10 | 34.03 |
Maximum Likelihood(ML) | 15.85 | 19.05 | 27.08 |
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1 | 0.00 | 0.00 | 0.00 | 1.000 | 6 | 4 | 40 | ML |
2 | 3.66 | 0.00 | 11.81 | 1.000 | 5 | 6 | 52 | ML |
3 | 12.20 | 11.90 | 20.83 | 0.996 | 3 | 6 | 49 | ML |
4 | 0.00 | 0.00 | 0.00 | 1.000 | 4 | 3 | 22 | ML |
5 | 6.10 | 7.14 | 11.11 | 1.000 | 5 | 4 | 15 | ML |
6 | 0.00 | 2.38 | 1.39 | 1.000 | 6 | 6 | 57 | ML |
7 | 8.54 | 11.90 | 19.44 | 0.999 | 5 | 5 | 20 | ML |
8 | 2.44 | 2.38 | 6.25 | 1.000 | 6 | 5 | 54 | ML |
9 | 1.22 | 0.00 | 2.78 | 1.000 | 5 | 5 | 59 | ML |
10 | 0.00 | 0.00 | 0.00 | 1.000 | 3 | 4 | 29 | ML |
Ave. | 3.41 (4.04 ) | 3.57 (4.67 ) | 7.36 (7.63 ) | 1.00 (0.00 ) | 4.80 (1.08 ) | 4.80 (0.98 ) | 39.70 (15.94 ) | ML |
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Total | ||
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Ground Truth |
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216 | 0 | 216 |
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0 | 216 | 216 | |
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216 | 216 | 432 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.099 |
Add-Feature Mutation | 0.099 |
Hoist Mutation | 0.099 |
Truncate Mutation | 0.097 |
Swap Mutation | 0.101 |
One-Symbol Mutation | 0.100 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.102 |
Grow Mutation | 0.102 |
High-Level Crossover | 0.102 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 1 |
GL Criterion | 4 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 5 |
Total | 10 |
Related Data Files
Description | Filename |
monks_1_gen.m | Matlab plot generation function |
monks_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
monks_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
monks_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
monks_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
monks_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
monks_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
monks_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
monks_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
monks_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
monks_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
monks_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
monks_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
monks_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
monks_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 |
monks_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
monks_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 |
monks_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
monks_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
monks_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 |
monks_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 |
monks_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 |
monks_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 |
monks_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 |
monks_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 |