The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
![]() |
Batch Details
Batch run name | diabetes_3 |
Description | Diabetes 3 on Hilbert |
This report file | final/diabetes_3/diabetes_3_report.html |
data file | /home/cssip/jsherrah/EPrep3/data/diabetes_3.dat |
Time of completion | Thu May 28 13:09:05 1998 |
Duration of Batch | 3 hours, 23 minutes, 16 seconds |
Random Seed | 168339586 (from clock) |
Average generations per run | 35.20 |
Average failed feature creations per run | 1289.50 |
Average fitness evalutions per run | 132475.30 |
Test Set Improvement | 13.02 % |
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) | 61.46 | 55.73 | 64.58 |
Min. Distance to Means(MDTM) | 36.46 | 39.58 | 37.50 |
|
|
|
|
|
|
|
|
|
1 | 25.78 | 23.96 | 40.62 | 0.248 | 2 | 4 | 13 | PPD |
2 | 24.48 | 22.40 | 25.52 | 0.999 | 1 | 5 | 14 | PPD |
3 | 22.92 | 22.40 | 22.40 | 1.000 | 3 | 8 | 29 | MDTM |
4 | 24.48 | 22.92 | 23.96 | 1.000 | 6 | 8 | 191 | MDTM |
5 | 25.00 | 21.88 | 24.48 | 0.999 | 3 | 5 | 23 | MDTM |
6 | 23.44 | 21.88 | 26.56 | 0.994 | 4 | 8 | 114 | MDTM |
7 | 24.74 | 24.48 | 30.73 | 0.948 | 4 | 6 | 32 | MDTM |
8 | 24.74 | 23.44 | 21.88 | 1.000 | 2 | 6 | 32 | MDTM |
9 | 24.74 | 22.92 | 40.10 | 0.284 | 8 | 8 | 79 | PPD |
10 | 25.00 | 22.40 | 29.69 | 0.966 | 3 | 3 | 10 | PPD |
Ave. | 24.53 (0.77 ) | 22.86 (0.82 ) | 28.59 (6.47 ) | 0.84 (0.29 ) | 3.60 (1.96 ) | 6.10 (1.76 ) | 53.70 (55.47 ) | MDTM |
|
|
Total | ||
|
|
|||
Ground Truth |
|
99 | 26 | 125 |
|
21 | 46 | 67 | |
|
120 | 72 | 192 |
Average Operator Probabilities
Operator | Average Probability |
Delete-Feature Mutation | 0.095 |
Add-Feature Mutation | 0.108 |
Hoist Mutation | 0.098 |
Truncate Mutation | 0.095 |
Swap Mutation | 0.096 |
One-Symbol Mutation | 0.103 |
All-Nodes Mutation | 0.094 |
One-Node Mutation | 0.096 |
Grow Mutation | 0.095 |
High-Level Crossover | 0.119 |
Number of Run Terminations attributed to each Criterion
Termination Criterion | Number of Terminations |
TP Criterion | 0 |
GL Criterion | 3 |
Max. Generations | 7 |
Client Abort | 0 |
Zero Validation Error | 0 |
Total | 10 |
Related Data Files
Description | Filename |
diabetes_3_gen.m | Matlab plot generation function |
diabetes_3_bogf_ave.{eps,gif} | Best-of-generation Fitness, averaged over 10 runs |
diabetes_3_bogv_ave.{eps,gif} | Best-of-generation Validation Set Error, averaged over 10 runs |
diabetes_3_avef_ave.{eps,gif} | Average fitness, averaged over 10 runs |
diabetes_3_stdf_ave.{eps,gif} | Standard deviation of fitness, averaged over 10 runs |
diabetes_3_nftr_ave.{eps,gif} | Average number of features per individual, averaged over 10 runs |
diabetes_3_nnode_ave.{eps,gif} | Average number of nodes per individual, averaged over 10 runs |
diabetes_3_nint_ave.{eps,gif} | Average number of introns per individual, averaged over 10 runs |
diabetes_3_ntrl_ave.{eps,gif} | Average number of RAT trials per individual, averaged over 10 runs |
diabetes_3_optimp_ave.{eps,gif} | Average improvement in fitness due to optimisation, averaged over 10 runs |
diabetes_3_opprob_ave.{eps,gif} | Average probability of each genetic operator, averaged over 10 runs |
diabetes_3_run_x.dat | Binary data file containing results of run x (read by Matlab functions) |
diabetes_3_bor_x.prep x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-run individual for run x |
diabetes_3_run_x.corr x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Feature correlation file for run x |
diabetes_3_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_3_bogf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Best-of-generation Fitness for run x |
diabetes_3_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_3_avef_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average fitness for run x |
diabetes_3_stdf_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Standard deviation of fitness for run x |
diabetes_3_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_3_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_3_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_3_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_3_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_3_opprob_x.{eps,gif} x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 |
Average probability of each genetic operator for run x |