The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | smoking_2 |
Description | Smoking 2 on Hilbert |
This report file | final/smoking_2/smoking_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/smoking_2.dat |
Time of completion | Thu May 28 00:00:22 1998 |
Duration of Batch | 10 hours, 1 minutes, 49 seconds |
Random Seed | 706773667 (from clock) |
Average generations per run | 12.90 |
Average failed feature creations per run | 2650.50 |
Average fitness evalutions per run | 62423.20 |
Test Set Improvement | 31.89 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 75 | 37 | 39 | 151 |
1 | 359 | 179 | 181 | 719 |
2 | 993 | 497 | 495 | 1985 |
Total | 1427 | 713 | 715 | 2855 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Maximum Likelihood(ML) | 56.41 | 62.55 | 63.50 |
Parallelepiped(PPD) | 77.37 | 79.80 | 88.95 |
Min. Distance to Means(MDTM) | 60.48 | 59.19 | 62.80 |
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1 | 30.34 | 30.15 | 74.69 | 0.000 | 2 | 6 | 108 | PPD |
2 | 30.27 | 30.43 | 31.05 | 1.000 | 5 | 9 | 453 | PPD |
3 | 29.57 | 30.15 | 31.47 | 1.000 | 4 | 9 | 717 | PPD |
4 | 30.13 | 29.87 | 30.91 | 1.000 | 2 | 9 | 393 | PPD |
5 | 30.34 | 30.29 | 94.55 | 0.000 | 2 | 5 | 47 | PPD |
6 | 30.20 | 29.87 | 30.91 | 1.000 | 3 | 4 | 57 | PPD |
7 | 30.41 | 30.15 | 31.05 | 1.000 | 3 | 9 | 658 | PPD |
8 | 29.99 | 30.29 | 30.91 | 1.000 | 2 | 4 | 98 | PPD |
9 | 30.34 | 30.29 | 31.89 | 1.000 | 2 | 8 | 425 | PPD |
10 | 30.20 | 30.29 | 30.77 | 1.000 | 1 | 7 | 222 | PPD |
Ave. | 30.18 (0.23 ) | 30.18 (0.18 ) | 41.82 (21.86 ) | 0.80 (0.40 ) | 2.60 (1.11 ) | 7.00 (2.00 ) | 317.80(235.24) | PPD |
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Total | |||
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Ground Truth |
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0 | 0 | 39 | 39 |
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0 | 3 | 178 | 181 | |
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0 | 4 | 491 | 495 | |
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0 | 7 | 708 | 715 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.099 |
Add-Feature Mutation | 0.099 |
Hoist Mutation | 0.102 |
Truncate Mutation | 0.101 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.099 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.100 |
Grow Mutation | 0.099 |
High-Level Crossover | 0.100 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 10 |
Max. Generations | 0 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
smoking_2_gen.m | Matlab plot generation function |
smoking_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
smoking_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
smoking_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
smoking_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
smoking_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
smoking_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
smoking_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
smoking_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
smoking_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
smoking_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
smoking_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
smoking_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
smoking_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
smoking_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 |
smoking_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
smoking_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 |
smoking_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
smoking_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |