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

 

Batch Details
Batch run name concentric_2
Description Concentric 2 on Android
This report file final/concentric_2/concentric_2_report.html
data file /home/cssip_a/jsherrah/data/concentric_2.dat
Time of completion Thu Jun 4 16:05:30 1998
Duration of Batch 25 hours, 40 minutes, 46 seconds
Random Seed 2192048160 (from clock)
Average generations per run 43.10
Average failed feature creations per run 453.20
Average fitness evalutions per run 252526.90
Test Set Improvement 20.96 %
 
 

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

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 23.28 21.44 22.88
Min. Distance to Means(MDTM) 48.64 50.72 51.04

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 0.96 1.28 2.08 1.000 2 2 90 PPD
2 0.64 1.60 2.24 1.000 2 2 254 PPD
3 1.68 1.92 3.36 1.000 2 2 70 PPD
4 0.80 0.48 1.92 1.000 2 2 92 PPD
5 1.60 2.88 2.56 1.000 2 2 62 PPD
6 2.08 1.76 3.20 1.000 2 2 46 PPD
7 0.40 0.80 0.96 1.000 2 2 30 PPD
8 1.76 1.44 2.72 1.000 2 2 18 PPD
9 2.08 2.40 1.92 1.000 2 2 120 PPD
10 0.40 0.64 1.28 1.000 2 2 50 PPD
Ave. 1.24 (0.64 ) 1.52 (0.73 ) 2.22 (0.73 ) 1.00 (0.00 ) 2.00 (0.00 ) 2.00 (0.00 ) 83.20 (63.91 ) PPD

  Confusion matrix for Best Ever Individual from run 4
Class
Predicted
Total
1
2
Ground Truth
1
227 3 230
2
9 386 395
Total
236 389 625

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.084
Add-Feature Mutation 0.091
Hoist Mutation 0.083
Truncate Mutation 0.103
Swap Mutation 0.121
One-Symbol Mutation 0.095
All-Nodes Mutation 0.092
One-Node Mutation 0.093
Grow Mutation 0.100
High-Level Crossover 0.139
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 1
GL Criterion 3
Max. Generations 6
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
concentric_2_gen.m Matlab plot generation function
concentric_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
concentric_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
concentric_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
concentric_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
concentric_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
concentric_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
concentric_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
concentric_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
concentric_2_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
concentric_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
concentric_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
concentric_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
concentric_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
concentric_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
concentric_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
concentric_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
concentric_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
concentric_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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
concentric_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