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

 

Batch Details
Batch run name spirals_2
Description Spirals 2 on Hilbert
This report file final/spirals_2/spirals_2_report.html
data file /home/cssip/jsherrah/EPrep3/data/spirals_2.dat
Time of completion Thu Jun 4 04:53:38 1998
Duration of Batch 8 hours, 34 minutes, 27 seconds
Random Seed 2130561 (from clock)
Average generations per run 45.30
Average failed feature creations per run 538.00
Average fitness evalutions per run 426885.60
Test Set Improvement 17.12 %
 
 

Data Partition
 
Class Training Validation Test Total
0 109 47 229 385
1 85 50 250 385
Total 194 97 479 770

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Maximum Likelihood(ML) 44.33 46.39 51.77
Parallelepiped(PPD) 47.42 54.64 50.52
Min. Distance to Means(MDTM) 48.45 52.58 51.57

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 23.71 28.87 38.41 1.000 2 2 59 ML
2 16.49 23.71 29.65 1.000 2 2 72 ML
3 22.68 23.71 30.48 1.000 1 2 52 ML
4 23.71 26.80 27.14 1.000 2 2 12 ML
5 17.01 35.05 32.99 1.000 2 2 118 PPD
6 26.29 19.59 34.66 1.000 2 2 38 ML
7 21.13 25.77 27.56 1.000 2 2 53 ML
8 22.68 23.71 27.56 1.000 2 2 12 ML
9 14.43 21.65 25.89 1.000 2 2 50 ML
10 19.59 28.87 32.57 1.000 2 2 36 ML
Ave. 20.77 (3.59 ) 25.77 (4.17 ) 30.69 (3.75 ) 1.00 (0.00 ) 1.90 (0.30 ) 2.00 (0.00 ) 50.20 (29.03 ) ML

  Confusion matrix for Best Ever Individual from run 6
Class
Predicted
Total
1
2
Ground Truth
1
137 92 229
2
74 176 250
Total
211 268 479

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.096
Add-Feature Mutation 0.106
Hoist Mutation 0.089
Truncate Mutation 0.091
Swap Mutation 0.101
One-Symbol Mutation 0.100
All-Nodes Mutation 0.090
One-Node Mutation 0.096
Grow Mutation 0.091
High-Level Crossover 0.141
 

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
spirals_2_gen.m Matlab plot generation function
spirals_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
spirals_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
spirals_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
spirals_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
spirals_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
spirals_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
spirals_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
spirals_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
spirals_2_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
spirals_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
spirals_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
spirals_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
spirals_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
spirals_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
spirals_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
spirals_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
spirals_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
spirals_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
spirals_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
spirals_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
spirals_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
spirals_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
spirals_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
spirals_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