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

 

Batch Details
Batch run name spirals_1
Description Spirals 1 on Gauss
This report file final/spirals_1/spirals_1_report.html
data file /home/cssip/jsherrah/EPrep3/data/spirals_1.dat
Time of completion Thu Jun 4 05:26:34 1998
Duration of Batch 9 hours, 12 minutes, 15 seconds
Random Seed 2181202091 (from clock)
Average generations per run 49.20
Average failed feature creations per run 534.60
Average fitness evalutions per run 434505.90
Test Set Improvement 24.22 %
 
 

Data Partition
 
Class Training Validation Test Total
0 88 49 248 385
1 106 48 231 385
Total 194 97 479 770

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Maximum Likelihood(ML) 43.81 48.45 48.43
Parallelepiped(PPD) 49.48 49.48 50.31
Min. Distance to Means(MDTM) 46.91 50.52 51.57

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 22.68 26.80 31.32 1.000 1 2 17 ML
2 17.01 22.68 24.22 1.000 2 2 22 ML
3 18.56 23.71 26.72 1.000 2 2 31 ML
4 26.29 27.84 32.99 1.000 1 2 71 ML
5 20.10 25.77 29.44 1.000 2 2 39 ML
6 20.10 25.77 31.52 1.000 2 2 22 ML
7 20.62 26.80 24.63 1.000 2 2 16 ML
8 20.10 24.74 29.44 1.000 2 2 19 ML
9 31.96 31.96 29.85 1.000 1 1 8 PPD
10 23.71 28.87 29.65 1.000 2 2 9 ML
Ave. 22.11 (4.13 ) 26.49 (2.53 ) 28.98 (2.76 ) 1.00 (0.00 ) 1.70 (0.46 ) 1.90 (0.30 ) 25.40 (17.58 ) ML

  Confusion matrix for Best Ever Individual from run 2
Class
Predicted
Total
1
2
Ground Truth
1
189 59 248
2
57 174 231
Total
246 233 479

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.085
Add-Feature Mutation 0.107
Hoist Mutation 0.100
Truncate Mutation 0.077
Swap Mutation 0.100
One-Symbol Mutation 0.096
All-Nodes Mutation 0.095
One-Node Mutation 0.092
Grow Mutation 0.088
High-Level Crossover 0.160
 

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_1_gen.m Matlab plot generation function
spirals_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
spirals_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
spirals_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
spirals_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
spirals_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
spirals_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
spirals_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
spirals_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
spirals_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
spirals_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
spirals_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
spirals_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
spirals_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
spirals_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
spirals_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
spirals_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
spirals_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
spirals_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
spirals_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
spirals_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
spirals_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
spirals_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
spirals_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
spirals_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