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

 

Batch Details
Batch run name cmc_3
Description Contraceptive Method Choice 3 on Nyquist
This report file final/cmc_3/cmc_3_report.html
data file /home/cssip/jsherrah/EPrep3/data/cmc_3.dat
Time of completion Thu May 28 23:59:13 1998
Duration of Batch 10 hours, 42 minutes, 42 seconds
Random Seed 680174088 (from clock)
Average generations per run 47.40
Average failed feature creations per run 3553.50
Average fitness evalutions per run 189304.70
Test Set Improvement 21.68 %
 
 

Data Partition
 
Class Training Validation Test Total
0 314 158 157 629
1 166 84 83 333
2 256 126 129 511
Total 736 368 369 1473

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 67.93 64.67 66.67
Min. Distance to Means(MDTM) 59.51 60.33 59.89

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 49.59 46.74 42.82 0.988 4 9 174 MDTM
2 53.26 48.64 46.07 0.995 6 9 622 MDTM
3 47.55 47.83 42.82 1.000 4 8 109 MDTM
4 50.00 46.20 42.28 0.999 8 9 271 MDTM
5 46.06 45.11 38.21 1.000 6 8 127 MDTM
6 49.46 47.55 40.38 1.000 4 6 40 MDTM
7 50.41 45.65 41.19 0.999 9 9 240 MDTM
8 50.41 47.55 42.28 1.000 5 9 142 MDTM
9 49.86 45.65 42.01 1.000 8 9 189 MDTM
10 53.40 47.01 50.68 0.386 7 9 353 PPD
Ave. 50.00 (2.11 ) 46.79 (1.07 ) 42.87 (3.22 ) 0.94 (0.18 ) 6.10 (1.76 ) 8.50 (0.92 ) 226.70(156.33) MDTM

  Confusion matrix for Best Ever Individual from run 5
Class
Predicted
Total
1
2
3
Ground Truth
1
112 11 34 157
2
13 44 26 83
3
37 20 72 129
Total
162 75 132 369

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.084
Add-Feature Mutation 0.097
Hoist Mutation 0.104
Truncate Mutation 0.106
Swap Mutation 0.106
One-Symbol Mutation 0.099
All-Nodes Mutation 0.102
One-Node Mutation 0.095
Grow Mutation 0.099
High-Level Crossover 0.108
 

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
cmc_3_gen.m Matlab plot generation function
cmc_3_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
cmc_3_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
cmc_3_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
cmc_3_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
cmc_3_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
cmc_3_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
cmc_3_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
cmc_3_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
cmc_3_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
cmc_3_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
cmc_3_run_x.dat Binary data file containing results of run x (read by Matlab functions)
cmc_3_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
cmc_3_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
cmc_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
cmc_3_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
cmc_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
cmc_3_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
cmc_3_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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