The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | diabetes_2 |
Description | Diabetes 2 on Hilbert |
This report file | final/diabetes_2/diabetes_2_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/diabetes_2.dat |
Time of completion | Wed May 27 13:34:49 1998 |
Duration of Batch | 3 hours, 41 minutes, 17 seconds |
Random Seed | 18446744072275796104 (from clock) |
Average generations per run | 40.90 |
Average failed feature creations per run | 1258.70 |
Average fitness evalutions per run | 140946.70 |
Test Set Improvement | 9.90 % |
Data Partition
Class | Training | Validation | Test | Total |
0 | 250 | 125 | 125 | 500 |
1 | 134 | 67 | 67 | 268 |
Total | 384 | 192 | 192 | 768 |
Summary of Results
Original Classification Errors (%)
Classifier | Training | Validation | Test |
Parallelepiped(PPD) | 31.51 | 34.38 | 34.38 |
Min. Distance to Means(MDTM) | 36.72 | 34.90 | 33.85 |
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1 | 23.96 | 23.44 | 32.81 | 0.618 | 3 | 5 | 22 | PPD |
2 | 22.40 | 22.92 | 27.60 | 0.957 | 5 | 5 | 35 | MDTM |
3 | 22.66 | 23.96 | 28.65 | 0.903 | 4 | 8 | 52 | PPD |
4 | 24.22 | 22.40 | 23.96 | 0.999 | 4 | 8 | 48 | PPD |
5 | 23.70 | 23.96 | 29.69 | 0.816 | 1 | 3 | 5 | PPD |
6 | 22.66 | 22.92 | 28.65 | 0.913 | 3 | 8 | 29 | PPD |
7 | 23.96 | 22.40 | 38.54 | 0.230 | 4 | 3 | 11 | PPD |
8 | 24.22 | 22.40 | 23.96 | 0.999 | 3 | 8 | 109 | PPD |
9 | 22.66 | 22.40 | 24.48 | 0.995 | 1 | 6 | 21 | MDTM |
10 | 22.92 | 24.48 | 32.81 | 0.655 | 7 | 8 | 87 | PPD |
Ave. | 23.33 (0.70 ) | 23.12 (0.74 ) | 29.11 (4.40 ) | 0.81 (0.23 ) | 3.50 (1.69 ) | 6.20 (1.99 ) | 41.90 (31.68 ) | PPD |
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Total | ||
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Ground Truth |
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107 | 18 | 125 |
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29 | 38 | 67 | |
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136 | 56 | 192 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.096 |
Add-Feature Mutation | 0.105 |
Hoist Mutation | 0.096 |
Truncate Mutation | 0.095 |
Swap Mutation | 0.097 |
One-Symbol Mutation | 0.103 |
All-Nodes Mutation | 0.094 |
One-Node Mutation | 0.093 |
Grow Mutation | 0.097 |
High-Level Crossover | 0.123 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 1 |
Max. Generations | 9 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
diabetes_2_gen.m | Matlab plot generation function |
diabetes_2_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
diabetes_2_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
diabetes_2_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
diabetes_2_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
diabetes_2_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
diabetes_2_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
diabetes_2_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
diabetes_2_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
diabetes_2_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
diabetes_2_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
diabetes_2_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
diabetes_2_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
diabetes_2_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
diabetes_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 |
diabetes_2_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
diabetes_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 |
diabetes_2_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
diabetes_2_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |