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

 

Batch Details
Batch run name concentric_1
Description Concentric 1 on Kaiser
This report file final/concentric_1/concentric_1_report.html
data file /home/cssip_a/jsherrah/data/concentric_1.dat
Time of completion Wed Jun 3 14:20:09 1998
Duration of Batch 14 hours, 29 minutes, 32 seconds
Random Seed 671744010 (from clock)
Average generations per run 46.30
Average failed feature creations per run 469.50
Average fitness evalutions per run 195926.30
Test Set Improvement 23.52 %
 
 

Data Partition
 
Class Training Validation Test Total
0 460 230 231 921
1 790 395 394 1579
Total 1250 625 625 2500

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 21.68 22.08 23.52
Min. Distance to Means(MDTM) 47.04 51.20 49.92

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 0.00 0.16 0.00 1.000 1 2 15 PPD
2 0.80 1.44 2.88 1.000 2 2 152 PPD
3 1.12 0.80 1.92 1.000 2 2 100 PPD
4 1.68 1.60 3.04 1.000 2 2 306 PPD
5 1.76 1.92 3.52 1.000 2 2 98 PPD
6 2.16 1.28 3.04 1.000 2 2 20 PPD
7 1.20 0.64 1.92 1.000 2 2 188 PPD
8 1.60 1.92 2.88 1.000 2 2 102 PPD
9 1.60 0.48 3.52 1.000 2 2 88 PPD
10 0.40 1.12 2.40 1.000 2 2 82 PPD
Ave. 1.23 (0.63 ) 1.14 (0.57 ) 2.51 (0.99 ) 1.00 (0.00 ) 1.90 (0.30 ) 2.00 (0.00 ) 115.10(80.44 ) PPD

  Confusion matrix for Best Ever Individual from run 1
Class
Predicted
Total
1
2
Ground Truth
1
231 0 231
2
0 394 394
Total
231 394 625

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.084
Add-Feature Mutation 0.112
Hoist Mutation 0.092
Truncate Mutation 0.094
Swap Mutation 0.096
One-Symbol Mutation 0.090
All-Nodes Mutation 0.085
One-Node Mutation 0.100
Grow Mutation 0.109
High-Level Crossover 0.138
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 0
GL Criterion 2
Max. Generations 8
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
concentric_1_gen.m Matlab plot generation function
concentric_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
concentric_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
concentric_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
concentric_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
concentric_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
concentric_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
concentric_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
concentric_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
concentric_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
concentric_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
concentric_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
concentric_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
concentric_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
concentric_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
concentric_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
concentric_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
concentric_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
concentric_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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