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

 

Batch Details
Batch run name titanic_2
Description Titanic 2 on Nyquist
This report file final/titanic_2/titanic_2_report.html
data file /home/cssip_a/jsherrah/data/titanic_2.dat
Time of completion Wed May 27 02:38:01 1998
Duration of Batch 4 hours, 41 minutes, 4 seconds
Random Seed 18446744071704814112 (from clock)
Average generations per run 32.80
Average failed feature creations per run 9898.60
Average fitness evalutions per run 206813.80
Test Set Improvement 11.98 %
 
 

Data Partition
 
Class Training Validation Test Total
0 745 373 372 1490
1 355 177 179 711
Total 1100 550 551 2201

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 32.27 32.18 32.49
Min. Distance to Means(MDTM) 31.73 30.73 32.12

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 22.18 22.18 20.15 1.000 3 3 43 MDTM
2 22.18 22.18 20.15 1.000 3 3 20 MDTM
3 22.18 22.18 20.15 1.000 3 3 56 MDTM
4 22.18 22.18 20.15 1.000 2 3 28 MDTM
5 22.18 22.18 20.15 1.000 1 3 31 MDTM
6 22.18 22.18 20.15 1.000 3 3 53 MDTM
7 22.18 22.18 20.15 1.000 3 3 148 MDTM
8 21.18 22.91 18.51 1.000 2 3 21 MDTM
9 22.18 22.18 20.15 1.000 2 3 22 MDTM
10 22.18 22.18 20.15 1.000 3 3 166 MDTM
Ave. 22.08 (0.30 ) 22.25 (0.22 ) 19.98 (0.49 ) 1.00 (0.00 ) 2.50 (0.67 ) 3.00 (0.00 ) 58.80 (50.74 ) MDTM

  Confusion matrix for Best Ever Individual from run 5
Class
Predicted
Total
1
2
Ground Truth
1
337 35 372
2
76 103 179
Total
413 138 551

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.105
Add-Feature Mutation 0.111
Hoist Mutation 0.105
Swap Mutation 0.114
One-Symbol Mutation 0.113
All-Nodes Mutation 0.105
One-Node Mutation 0.111
Grow Mutation 0.109
High-Level Crossover 0.127
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 2
GL Criterion 2
Max. Generations 6
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
titanic_2_gen.m Matlab plot generation function
titanic_2_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
titanic_2_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
titanic_2_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
titanic_2_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
titanic_2_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
titanic_2_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
titanic_2_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
titanic_2_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
titanic_2_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
titanic_2_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
titanic_2_run_x.dat Binary data file containing results of run x (read by Matlab functions)
titanic_2_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
titanic_2_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
titanic_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
titanic_2_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
titanic_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
titanic_2_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
titanic_2_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
titanic_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
titanic_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
titanic_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
titanic_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
titanic_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
titanic_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