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

 

Batch Details
Batch run name balance_2
Description Balance 2 on Nyquist
This report file final/balance_2/balance_2_report.html
data file /home/cssip/jsherrah/EPrep3/data/balance_2.dat
Time of completion Tue May 26 21:06:31 1998
Duration of Batch 0 hours, 35 minutes, 49 seconds
Random Seed 545268232 (from clock)
Average generations per run 14.30
Average failed feature creations per run 265.20
Average fitness evalutions per run 50241.50
Test Set Improvement 22.93 %
 
 

Data Partition
 
Class Training Validation Test Total
0 144 72 72 288
1 24 12 13 49
2 144 72 72 288
Total 312 156 157 625

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 53.85 53.85 54.14
Min. Distance to Means(MDTM) 26.28 27.56 22.93

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 13.46 9.62 10.83 0.996 2 4 96 MDTM
2 0.00 0.64 0.00 1.000 1 4 11 PPD
3 0.00 0.00 0.00 1.000 1 4 7 PPD
4 0.00 2.56 0.00 1.000 1 4 7 PPD
5 26.28 26.28 31.21 0.001 3 4 305 MDTM
6 18.91 17.31 19.11 0.154 3 4 106 PPD
7 13.14 18.59 12.74 0.980 1 4 198 PPD
8 0.00 0.00 1.27 1.000 1 4 57 PPD
9 0.00 0.00 0.00 1.000 1 4 14 PPD
10 7.69 13.46 10.83 0.987 4 4 271 PPD
Ave. 7.95 (9.11 ) 8.85 (9.13 ) 8.60 (9.99 ) 0.81 (0.37 ) 1.80 (1.08 ) 4.00 (0.00 ) 107.20(107.18) PPD

  Confusion matrix for Best Ever Individual from run 3
Class
Predicted
Total
1
2
3
Ground Truth
1
72 0 0 72
2
0 13 0 13
3
0 0 72 72
Total
72 13 72 157

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.098
Add-Feature Mutation 0.103
Hoist Mutation 0.093
Truncate Mutation 0.105
Swap Mutation 0.099
One-Symbol Mutation 0.097
All-Nodes Mutation 0.099
One-Node Mutation 0.100
Grow Mutation 0.100
High-Level Crossover 0.106
 

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

Related Data Files
Description Filename
balance_2_gen.m Matlab plot generation function
balance_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
balance_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
balance_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
balance_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
balance_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
balance_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
balance_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
balance_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
balance_2_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
balance_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
balance_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
balance_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
balance_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
balance_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
balance_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
balance_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
balance_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
balance_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
balance_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
balance_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
balance_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
balance_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
balance_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
balance_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