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

 

Batch Details
Batch run name yeast_2
Description Yeast 2 on Hilbert
This report file yeast_2/yeast_2_report.html
data file /home/cssip/jsherrah/EPrep3/data/yeast_2.dat
Time of completion Tue Jun 23 11:46:20 1998
Duration of Batch 14 hours, 1 minutes, 26 seconds
Random Seed 18446744071573217802 (from user)
Average generations per run 151.00
Average failed feature creations per run 4717.70
Average fitness evalutions per run 90751.00
Test Set Improvement 21.02 %
 
 

Data Partition
 
Class Training Validation Test Total
0 232 115 116 463
1 215 107 107 429
2 123 62 59 244
3 81 41 41 163
4 25 12 14 51
5 22 11 11 44
6 17 10 8 35
7 15 7 8 30
8 10 5 5 20
9 2 1 2 5
Total 742 371 371 1484

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Maximum Likelihood(ML) 68.73 69.00 68.73
Parallelepiped(PPD) 75.07 77.36 79.78

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 45.69 52.29 78.17 0.000 8 8 224 PPD
2 46.09 49.60 56.33 0.008 8 8 97 PPD
3 53.50 52.02 61.46 0.002 7 8 99 PPD
4 46.63 48.52 69.27 0.000 7 8 63 PPD
5 44.61 46.90 47.17 0.698 6 8 61 PPD
6 42.72 46.09 47.71 0.752 6 8 233 PPD
7 44.74 47.71 49.87 0.603 8 8 75 PPD
8 42.72 46.63 51.21 0.476 8 8 263 PPD
9 47.57 49.87 57.95 0.001 8 8 65 PPD
10 47.84 52.29 76.28 0.000 7 8 103 PPD
Ave. 46.21 (2.95 ) 49.19 (2.28 ) 59.54 (10.93 ) 0.25 (0.32 ) 7.30 (0.78 ) 8.00 (0.00 ) 128.30(75.09 ) PPD

  Confusion matrix for Best Ever Individual from run 6
Class
Predicted
Total
1
2
3
4
5
6
7
8
9
10
Ground Truth
1
61 22 9 21 0 0 3 0 0 0 116
2
32 56 2 12 0 0 5 0 0 0 107
3
17 4 31 2 0 2 3 0 0 0 59
4
1 2 1 35 0 0 2 0 0 0 41
5
1 1 0 3 1 6 2 0 0 0 14
6
0 1 0 0 0 5 5 0 0 0 11
7
1 1 1 0 0 1 4 0 0 0 8
8
2 2 0 3 0 0 1 0 0 0 8
9
1 2 1 0 0 0 0 0 1 0 5
10
0 0 1 1 0 0 0 0 0 0 2
Total
116 91 46 77 1 14 25 0 1 0 371

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.065
Add-Feature Mutation 0.108
Hoist Mutation 0.077
Truncate Mutation 0.088
Swap Mutation 0.118
One-Symbol Mutation 0.115
All-Nodes Mutation 0.079
One-Node Mutation 0.105
Grow Mutation 0.089
High-Level Crossover 0.156
 

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

Related Data Files
Description Filename
yeast_2_gen.m Matlab plot generation function
yeast_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
yeast_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
yeast_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
yeast_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
yeast_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
yeast_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
yeast_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
yeast_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
yeast_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
yeast_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
yeast_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
yeast_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
yeast_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
yeast_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
yeast_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
yeast_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
yeast_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
yeast_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
yeast_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
yeast_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
yeast_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
yeast_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