The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | smoking_1 |
Description | Smoking 1 on Atlas |
This report file | final/smoking_1/smoking_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/smoking_1.dat |
Time of completion | Fri May 15 13:41:11 1998 |
Duration of Batch | 49 hours, 7 minutes, 45 seconds |
Random Seed | 547392136 (from clock) |
Average generations per run | 13.20 |
Average failed feature creations per run | 2719.60 |
Average fitness evalutions per run | 65597.30 |
Test Set Improvement | 32.87 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 75 | 37 | 39 | 151 |
1 | 360 | 179 | 180 | 719 |
2 | 992 | 497 | 496 | 1985 |
Total | 1427 | 713 | 715 | 2855 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Maximum Likelihood(ML) | 58.79 | 62.83 | 65.59 |
Parallelepiped(PPD) | 88.72 | 87.24 | 88.53 |
Min. Distance to Means(MDTM) | 60.69 | 62.69 | 64.06 |
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1 | 30.34 | 30.58 | 30.91 | 1.000 | 1 | 9 | 379 | PPD |
2 | 29.85 | 31.00 | 94.13 | 0.000 | 4 | 7 | 252 | PPD |
3 | 30.20 | 30.43 | 30.63 | 1.000 | 5 | 6 | 81 | PPD |
4 | 29.85 | 30.01 | 31.19 | 1.000 | 5 | 9 | 855 | PPD |
5 | 30.41 | 30.43 | 30.77 | 1.000 | 2 | 4 | 27 | PPD |
6 | 30.27 | 30.72 | 74.55 | 0.000 | 3 | 9 | 493 | PPD |
7 | 30.34 | 30.58 | 94.41 | 0.000 | 1 | 3 | 21 | PPD |
8 | 30.34 | 30.15 | 30.49 | 1.000 | 2 | 9 | 912 | PPD |
9 | 30.27 | 30.43 | 74.69 | 0.000 | 6 | 9 | 539 | PPD |
10 | 30.34 | 30.15 | 30.91 | 1.000 | 3 | 4 | 28 | MDTM |
Ave. | 30.22 (0.19 ) | 30.45 (0.28 ) | 52.27 (27.00 ) | 0.60 (0.49 ) | 3.20 (1.66 ) | 6.90 (2.34 ) | 358.70(320.21) | PPD |
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Total | |||
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Ground Truth |
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0 | 0 | 39 | 39 |
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2 | 2 | 176 | 180 | |
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2 | 4 | 490 | 496 | |
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4 | 6 | 705 | 715 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.101 |
Add-Feature Mutation | 0.101 |
Hoist Mutation | 0.099 |
Truncate Mutation | 0.100 |
Swap Mutation | 0.101 |
One-Symbol Mutation | 0.099 |
All-Nodes Mutation | 0.099 |
One-Node Mutation | 0.100 |
Grow Mutation | 0.098 |
High-Level Crossover | 0.102 |
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_1_gen.m | Matlab plot generation function |
smoking_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
smoking_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
smoking_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
smoking_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
smoking_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
smoking_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
smoking_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
smoking_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
smoking_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
smoking_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
smoking_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
smoking_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
smoking_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
smoking_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 |
smoking_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
smoking_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 |
smoking_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
smoking_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |
smoking_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 |