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

 

Batch Details
Batch run name balance_1
Description Balance 1 on Cortex
This report file final/balance_1/balance_1_report.html
data file /home/cssip/jsherrah/EPrep3/data/balance_1.dat
Time of completion Tue May 12 15:11:07 1998
Duration of Batch 0 hours, 25 minutes, 33 seconds
Random Seed 715260416 (from clock)
Average generations per run 9.30
Average failed feature creations per run 277.00
Average fitness evalutions per run 30937.10
Test Set Improvement 22.29 %
 
 

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) 29.17 28.85 22.29

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 0.00 0.00 0.00 1.000 2 4 22 MDTM
2 13.46 17.31 16.56 0.941 4 4 56 MDTM
3 24.04 21.15 22.93 0.421 2 4 141 MDTM
4 0.00 0.00 0.00 1.000 2 4 21 PPD
5 7.05 10.26 8.92 0.999 4 4 155 PPD
6 0.00 0.00 0.00 1.000 1 4 11 PPD
7 0.00 0.00 0.00 1.000 3 4 16 PPD
8 0.00 0.00 0.64 1.000 3 4 72 PPD
9 0.00 0.00 0.00 1.000 2 4 34 MDTM
10 0.00 0.00 0.00 1.000 1 4 7 PPD
Ave. 4.46 (7.81 ) 4.87 (7.84 ) 4.90 (8.00 ) 0.94 (0.17 ) 2.40 (1.02 ) 4.00 (0.00 ) 53.50 (51.10 ) PPD

  Confusion matrix for Best Ever Individual from run 10
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 0.099
Add-Feature Mutation 0.100
Hoist Mutation 0.100
Truncate Mutation 0.099
Swap Mutation 0.101
One-Symbol Mutation 0.099
All-Nodes Mutation 0.100
One-Node Mutation 0.102
Grow Mutation 0.099
High-Level Crossover 0.101
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 0
GL Criterion 3
Max. Generations 0
Client Abort 0
Zero Validation Error 7
Total 10
 
 

Related Data Files
Description Filename
balance_1_gen.m Matlab plot generation function
balance_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
balance_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
balance_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
balance_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
balance_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
balance_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
balance_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
balance_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
balance_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
balance_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
balance_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
balance_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
balance_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
balance_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
balance_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
balance_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
balance_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
balance_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
balance_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
balance_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
balance_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
balance_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
balance_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
balance_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