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

 

Batch Details
Batch run name monks_1
Description Monks 1 on Gauss
This report file final/monks_1/monks_1_report.html
data file /home/cssip/jsherrah/EPrep3/data/monks_1.dat
Time of completion Tue May 12 21:35:22 1998
Duration of Batch 0 hours, 53 minutes, 59 seconds
Random Seed 573180033 (from clock)
Average generations per run 13.60
Average failed feature creations per run 12951.30
Average fitness evalutions per run 80537.60
Test Set Improvement 27.08 %
 
 

Data Partition
 
Class Training Validation Test Total
0 42 20 216 278
1 40 22 216 278
Total 82 42 432 556

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 34.15 33.33 33.33
Min. Distance to Means(MDTM) 30.49 38.10 34.03
Maximum Likelihood(ML) 15.85 19.05 27.08

  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 6 4 40 ML
2 3.66 0.00 11.81 1.000 5 6 52 ML
3 12.20 11.90 20.83 0.996 3 6 49 ML
4 0.00 0.00 0.00 1.000 4 3 22 ML
5 6.10 7.14 11.11 1.000 5 4 15 ML
6 0.00 2.38 1.39 1.000 6 6 57 ML
7 8.54 11.90 19.44 0.999 5 5 20 ML
8 2.44 2.38 6.25 1.000 6 5 54 ML
9 1.22 0.00 2.78 1.000 5 5 59 ML
10 0.00 0.00 0.00 1.000 3 4 29 ML
Ave. 3.41 (4.04 ) 3.57 (4.67 ) 7.36 (7.63 ) 1.00 (0.00 ) 4.80 (1.08 ) 4.80 (0.98 ) 39.70 (15.94 ) ML

  Confusion matrix for Best Ever Individual from run 10
Class
Predicted
Total
1
2
Ground Truth
1
216 0 216
2
0 216 216
Total
216 216 432

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.099
Add-Feature Mutation 0.099
Hoist Mutation 0.099
Truncate Mutation 0.097
Swap Mutation 0.101
One-Symbol Mutation 0.100
All-Nodes Mutation 0.099
One-Node Mutation 0.102
Grow Mutation 0.102
High-Level Crossover 0.102
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 1
GL Criterion 4
Max. Generations 0
Client Abort 0
Zero Validation Error 5
Total 10
 
 

Related Data Files
Description Filename
monks_1_gen.m Matlab plot generation function
monks_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
monks_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
monks_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
monks_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
monks_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
monks_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
monks_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
monks_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
monks_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
monks_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
monks_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
monks_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
monks_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
monks_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
monks_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
monks_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
monks_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
monks_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
monks_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
monks_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
monks_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
monks_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
monks_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
monks_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