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

 

Batch Details
Batch run name monks_3
Description Monks 3 on Nyquist
This report file final/monks_3/monks_3_report.html
data file /home/cssip/jsherrah/EPrep3/data/monks_3.dat
Time of completion Tue May 12 20:07:02 1998
Duration of Batch 0 hours, 5 minutes, 29 seconds
Random Seed 170437258 (from clock)
Average generations per run 16.50
Average failed feature creations per run 12557.30
Average fitness evalutions per run 6616.50
Test Set Improvement 16.67 %
 
 

Data Partition
 
Class Training Validation Test Total
0 40 22 204 266
1 41 19 228 288
Total 81 41 432 554

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 50.62 46.34 52.78
Min. Distance to Means(MDTM) 24.69 26.83 19.44

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 4.94 9.76 2.78 1.000 2 2 8 MDTM
2 4.94 9.76 2.78 1.000 2 2 7 MDTM
3 4.94 9.76 2.78 1.000 2 2 7 MDTM
4 4.94 9.76 2.78 1.000 2 2 7 MDTM
5 4.94 9.76 2.78 1.000 2 2 10 MDTM
6 4.94 9.76 2.78 1.000 2 2 17 MDTM
7 4.94 9.76 2.78 1.000 2 2 7 MDTM
8 4.94 9.76 2.78 1.000 2 2 7 MDTM
9 4.94 9.76 2.78 1.000 2 4 16 MDTM
10 4.94 9.76 2.78 1.000 2 2 6 MDTM
Ave. 4.94 (0.00 ) 9.76 (0.00 ) 2.78 (0.00 ) 1.00 (0.00 ) 2.00 (0.00 ) 2.20 (0.60 ) 9.20 (3.79 ) MDTM

  Confusion matrix for Best Ever Individual from run 3
Class
Predicted
Total
1
2
Ground Truth
1
204 0 204
2
12 216 228
Total
216 216 432

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.098
Add-Feature Mutation 0.100
Hoist Mutation 0.100
Truncate Mutation 0.099
Swap Mutation 0.100
One-Symbol Mutation 0.100
All-Nodes Mutation 0.102
One-Node Mutation 0.098
Grow Mutation 0.101
High-Level Crossover 0.102
 

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

Related Data Files
Description Filename
monks_3_gen.m Matlab plot generation function
monks_3_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
monks_3_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
monks_3_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
monks_3_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
monks_3_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
monks_3_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
monks_3_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
monks_3_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
monks_3_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
monks_3_run_x.dat Binary data file containing results of run x (read by Matlab functions)
monks_3_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
monks_3_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
monks_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
monks_3_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
monks_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
monks_3_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
monks_3_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
monks_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
monks_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
monks_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
monks_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
monks_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