The Evolutionary Pre-Processor (version 3.0)
Batch Run Report

 

Batch Details
Batch run name cmc_1
Description Contraceptive Method Choice 1 on Chamonix
This report file results/final/cmc_1/cmc_1_report.html
data file /home/users/jsherrah/EPrep3/data/cmc_1.dat
Time of completion Wed May 13 20:32:01 1998
Duration of Batch 8 hours, 11 minutes, 53 seconds
Random Seed 18446744071698513920 (from clock)
Average generations per run 51.00
Average failed feature creations per run 3437.60
Average fitness evalutions per run 217576.70
Test Set Improvement 23.31 %
 
 

Data Partition
 
Class Training Validation Test Total
0 314 157 158 629
1 167 82 84 333
2 255 129 127 511
Total 736 368 369 1473

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 62.23 63.04 64.23
Min. Distance to Means(MDTM) 62.91 65.22 59.35

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 48.51 50.54 49.05 0.853 6 8 109 MDTM
2 46.33 46.74 40.65 0.999 3 5 60 MDTM
3 48.78 45.38 43.09 0.989 4 7 62 MDTM
4 43.75 45.11 40.92 0.999 4 6 41 MDTM
5 48.23 46.74 49.32 0.401 4 7 67 MDTM
6 43.61 45.65 41.73 0.971 4 6 83 MDTM
7 45.52 46.47 42.01 0.983 4 6 63 MDTM
8 46.88 46.47 47.43 0.302 4 9 151 PPD
9 47.15 48.10 44.99 0.785 5 5 62 MDTM
10 48.64 48.10 47.15 0.903 2 9 114 MDTM
Ave. 46.74 (1.84 ) 46.93 (1.54 ) 44.63 (3.21 ) 0.82 (0.24 ) 4.00 (1.00 ) 6.80 (1.40 ) 81.20 (31.72 ) MDTM

  Confusion matrix for Best Ever Individual from run 4
Class
Predicted
Total
1
2
3
Ground Truth
1
103 24 31 158
2
16 56 12 84
3
35 33 59 127
Total
154 113 102 369

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.092
Add-Feature Mutation 0.103
Hoist Mutation 0.098
Truncate Mutation 0.103
Swap Mutation 0.103
One-Symbol Mutation 0.104
All-Nodes Mutation 0.089
One-Node Mutation 0.086
Grow Mutation 0.104
High-Level Crossover 0.119
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 0
GL Criterion 0
Max. Generations 10
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
cmc_1_gen.m Matlab plot generation function
cmc_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
cmc_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
cmc_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
cmc_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
cmc_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
cmc_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
cmc_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
cmc_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
cmc_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
cmc_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
cmc_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
cmc_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
cmc_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
cmc_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
cmc_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
cmc_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
cmc_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
cmc_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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