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

 

Batch Details
Batch run name yeast_1
Description Yeast 1 on Kaiser
This report file yeast_1/yeast_1_report.html
data file /home/cssip/jsherrah/EPrep3/data/yeast_1.dat
Time of completion Mon Jun 22 23:02:07 1998
Duration of Batch 7 hours, 19 minutes, 27 seconds
Random Seed 176849066 (from user)
Average generations per run 146.10
Average failed feature creations per run 5124.80
Average fitness evalutions per run 87806.10
Test Set Improvement 22.10 %
 
 

Data Partition
 
Class Training Validation Test Total
0 233 115 115 463
1 214 110 105 429
2 122 62 60 244
3 81 40 42 163
4 25 12 14 51
5 22 12 10 44
6 17 8 10 35
7 15 7 8 30
8 11 4 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) 68.60 69.00 69.00
Parallelepiped(PPD) 72.64 81.40 83.83

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 46.63 49.87 56.60 0.020 7 7 53 PPD
2 46.36 52.02 52.56 0.152 8 8 58 PPD
3 45.01 49.87 52.56 0.195 8 8 170 PPD
4 50.67 52.83 66.04 0.000 6 8 32 PPD
5 47.57 49.33 55.80 0.014 6 8 53 PPD
6 41.78 47.71 53.64 0.298 7 8 147 PPD
7 44.07 49.33 76.82 0.000 6 7 56 PPD
8 39.62 46.90 46.90 0.776 8 8 182 PPD
9 49.19 52.29 59.30 0.000 6 8 98 PPD
10 43.80 48.25 57.95 0.002 7 8 51 PPD
Ave. 45.47 (3.17 ) 49.84 (1.90 ) 57.82 (7.93 ) 0.15 (0.23 ) 6.90 (0.83 ) 7.80 (0.40 ) 90.00 (52.90 ) PPD

  Confusion matrix for Best Ever Individual from run 8
Class
Predicted
Total
1
2
3
4
5
6
7
8
9
10
Ground Truth
1
46 42 11 4 3 0 8 0 1 0 115
2
20 67 2 13 2 0 0 0 1 0 105
3
10 10 31 5 1 0 1 1 1 0 60
4
1 5 0 32 3 0 0 1 0 0 42
5
0 2 1 1 6 2 2 0 0 0 14
6
0 0 0 0 3 5 2 0 0 0 10
7
0 0 0 0 0 0 10 0 0 0 10
8
3 4 0 0 0 0 1 0 0 0 8
9
1 2 1 1 0 0 0 0 0 0 5
10
1 0 0 0 1 0 0 0 0 0 2
Total
82 132 46 56 19 7 24 2 3 0 371

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.064
Add-Feature Mutation 0.109
Hoist Mutation 0.077
Truncate Mutation 0.087
Swap Mutation 0.128
One-Symbol Mutation 0.090
All-Nodes Mutation 0.081
One-Node Mutation 0.111
Grow Mutation 0.083
High-Level Crossover 0.170
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 0
GL Criterion 1
Max. Generations 9
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
yeast_1_gen.m Matlab plot generation function
yeast_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
yeast_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
yeast_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
yeast_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
yeast_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
yeast_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
yeast_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
yeast_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
yeast_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
yeast_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
yeast_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
yeast_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
yeast_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
yeast_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
yeast_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
yeast_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
yeast_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
yeast_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
yeast_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
yeast_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
yeast_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
yeast_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