The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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Batch Details
Batch run name | diabetes_1 |
Description | Diabetes 1 on Nyquist |
This report file | final/diabetes_1/diabetes_1_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/diabetes_1.dat |
Time of completion | Tue May 12 17:50:27 1998 |
Duration of Batch | 8 hours, 5 minutes, 42 seconds |
Random Seed | 18446744071562070539 (from clock) |
Average generations per run | 23.90 |
Average failed feature creations per run | 1316.90 |
Average fitness evalutions per run | 91467.70 |
Test Set Improvement | 15.10 % |
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) | 33.07 | 34.90 | 32.29 |
Min. Distance to Means(MDTM) | 37.50 | 33.33 | 38.02 |
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1 | 27.60 | 22.92 | 23.44 | 1.000 | 3 | 8 | 78 | PPD |
2 | 23.70 | 21.35 | 22.92 | 1.000 | 4 | 8 | 109 | MDTM |
3 | 25.52 | 24.48 | 22.92 | 1.000 | 5 | 8 | 131 | PPD |
4 | 28.65 | 22.92 | 25.00 | 0.999 | 2 | 3 | 6 | MDTM |
5 | 26.82 | 22.92 | 22.92 | 1.000 | 4 | 8 | 95 | PPD |
6 | 24.48 | 25.00 | 20.83 | 1.000 | 2 | 3 | 10 | MDTM |
7 | 23.70 | 22.40 | 25.52 | 0.999 | 2 | 3 | 7 | PPD |
8 | 27.60 | 23.44 | 23.44 | 1.000 | 1 | 4 | 21 | PPD |
9 | 25.00 | 19.27 | 22.92 | 1.000 | 2 | 8 | 163 | PPD |
10 | 26.30 | 22.92 | 22.40 | 1.000 | 6 | 8 | 58 | PPD |
Ave. | 25.94 (1.64 ) | 22.76 (1.51 ) | 23.23 (1.24 ) | 1.00 (0.00 ) | 3.10 (1.51 ) | 6.10 (2.34 ) | 67.80 (53.61 ) | PPD |
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Total | ||
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Ground Truth |
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116 | 9 | 125 |
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35 | 32 | 67 | |
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151 | 41 | 192 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.097 |
Add-Feature Mutation | 0.099 |
Hoist Mutation | 0.100 |
Truncate Mutation | 0.099 |
Swap Mutation | 0.100 |
One-Symbol Mutation | 0.100 |
All-Nodes Mutation | 0.104 |
One-Node Mutation | 0.094 |
Grow Mutation | 0.101 |
High-Level Crossover | 0.107 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 7 |
Max. Generations | 3 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
diabetes_1_gen.m | Matlab plot generation function |
diabetes_1_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
diabetes_1_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
diabetes_1_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
diabetes_1_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
diabetes_1_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
diabetes_1_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
diabetes_1_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
diabetes_1_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
diabetes_1_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
diabetes_1_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
diabetes_1_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
diabetes_1_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
diabetes_1_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
diabetes_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 |
diabetes_1_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
diabetes_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 |
diabetes_1_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
diabetes_1_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |
diabetes_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 |