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

 

Batch Details
Batch run name cmc_2
Description cmc 2 on Nyquist
This report file postfinal/cmc_2/cmc_2_report.html
data file /home/cssip/jsherrah/EPrep3/data/cmc_2.dat
Time of completion Sun Jun 21 14:45:20 1998
Duration of Batch 44 hours, 57 minutes, 29 seconds
Random Seed 673744928 (from clock)
Average generations per run 201.00
Average failed feature creations per run 3425.40
Average fitness evalutions per run 886055.90
Test Set Improvement 18.97 %
 
 

Data Partition
 
Class Training Validation Test Total
0 314 158 157 629
1 167 83 83 333
2 255 127 129 511
Total 736 368 369 1473

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Min. Distance to Means(MDTM) 62.23 57.07 63.96

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 44.57 42.66 41.73 0.999 6 9 159 MDTM
2 44.16 42.12 47.15 1.000 8 8 59 MDTM
3 44.02 41.30 47.97 0.956 3 5 26 MDTM
4 47.96 42.12 47.70 0.984 4 9 80 MDTM
5 43.89 38.32 44.99 0.999 3 8 182 MDTM
6 46.47 41.58 46.34 1.000 6 8 85 MDTM
7 45.38 41.58 43.90 1.000 5 9 80 MDTM
8 45.11 42.12 47.15 0.997 8 6 71 MDTM
9 47.15 42.66 46.34 1.000 5 7 52 MDTM
10 42.80 42.12 45.26 0.970 7 9 114 MDTM
Ave. 45.15 (1.53 ) 41.66 (1.19 ) 45.85 (1.83 ) 0.99 (0.01 ) 5.50 (1.75 ) 7.80 (1.33 ) 90.80 (45.70 ) MDTM

  Confusion matrix for Best Ever Individual from run 5
Class
Predicted
Total
1
2
3
Ground Truth
1
97 30 30 157
2
19 41 23 83
3
34 30 65 129
Total
150 101 118 369

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.083
Add-Feature Mutation 0.129
Hoist Mutation 0.075
Truncate Mutation 0.106
Swap Mutation 0.099
One-Symbol Mutation 0.104
All-Nodes Mutation 0.072
One-Node Mutation 0.089
Grow Mutation 0.072
High-Level Crossover 0.170
 

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_2_gen.m Matlab plot generation function
cmc_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
cmc_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
cmc_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
cmc_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
cmc_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
cmc_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
cmc_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
cmc_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
cmc_2_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
cmc_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
cmc_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
cmc_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
cmc_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
cmc_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
cmc_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
cmc_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
cmc_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
cmc_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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
cmc_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