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

 

Batch Details
Batch run name concentric_3
Description Concentric 3 on Kaiser
This report file final/concentric_3/concentric_3_report.html
data file /home/cssip_a/jsherrah/data/concentric_3.dat
Time of completion Thu Jun 4 08:31:49 1998
Duration of Batch 17 hours, 7 minutes, 9 seconds
Random Seed 34089472 (from clock)
Average generations per run 51.00
Average failed feature creations per run 454.50
Average fitness evalutions per run 335320.60
Test Set Improvement 21.28 %
 
 

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) 22.64 24.48 23.04
Min. Distance to Means(MDTM) 48.48 50.88 51.52

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 1.28 2.72 2.08 1.000 2 2 22 PPD
2 1.36 1.44 1.76 1.000 2 2 58 PPD
3 0.48 1.92 1.60 1.000 2 2 78 PPD
4 1.44 2.72 2.88 1.000 2 2 30 PPD
5 1.44 1.76 2.56 1.000 2 2 54 PPD
6 0.24 1.12 1.60 1.000 2 2 68 PPD
7 1.52 3.52 2.24 1.000 2 2 132 PPD
8 0.80 1.92 1.76 1.000 2 2 54 PPD
9 0.72 1.28 1.76 1.000 2 2 56 PPD
10 0.48 0.80 1.76 1.000 2 2 22 PPD
Ave. 0.98 (0.46 ) 1.92 (0.80 ) 2.00 (0.41 ) 1.00 (0.00 ) 2.00 (0.00 ) 2.00 (0.00 ) 57.40 (30.63 ) PPD

  Confusion matrix for Best Ever Individual from run 10
Class
Predicted
Total
1
2
Ground Truth
1
227 4 231
2
7 387 394
Total
234 391 625

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.079
Add-Feature Mutation 0.097
Hoist Mutation 0.089
Truncate Mutation 0.116
Swap Mutation 0.118
One-Symbol Mutation 0.083
All-Nodes Mutation 0.087
One-Node Mutation 0.094
Grow Mutation 0.094
High-Level Crossover 0.143
 

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
concentric_3_gen.m Matlab plot generation function
concentric_3_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
concentric_3_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
concentric_3_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
concentric_3_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
concentric_3_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
concentric_3_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
concentric_3_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
concentric_3_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
concentric_3_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
concentric_3_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
concentric_3_run_x.dat Binary data file containing results of run x (read by Matlab functions)
concentric_3_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
concentric_3_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
concentric_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
concentric_3_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
concentric_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
concentric_3_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
concentric_3_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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