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

 

Batch Details
Batch run name titanic_3
Description Titanic 3 on Gauss
This report file final/titanic_3/titanic_3_report.html
data file /home/cssip_a/jsherrah/data/titanic_3.dat
Time of completion Thu May 28 16:40:18 1998
Duration of Batch 3 hours, 22 minutes, 47 seconds
Random Seed 2692754058 (from clock)
Average generations per run 25.20
Average failed feature creations per run 9953.00
Average fitness evalutions per run 159641.00
Test Set Improvement 11.62 %
 
 

Data Partition
 
Class Training Validation Test Total
0 745 372 373 1490
1 355 178 178 711
Total 1100 550 551 2201

Summary of Results

  Original Classification Errors (%)
Classifier Training Validation Test
Parallelepiped(PPD) 32.27 32.36 32.30
Min. Distance to Means(MDTM) 31.36 31.27 32.30

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 19.91 23.45 21.05 1.000 1 3 42 MDTM
2 21.27 22.55 21.60 1.000 2 3 104 MDTM
3 20.27 23.09 20.15 1.000 1 3 12 MDTM
4 20.55 23.09 20.51 1.000 1 3 35 MDTM
5 21.27 22.55 21.60 1.000 3 3 43 MDTM
6 20.27 23.09 20.15 1.000 1 3 18 MDTM
7 21.55 22.55 21.96 1.000 2 3 161 MDTM
8 21.27 22.55 21.60 1.000 1 3 40 MDTM
9 21.55 22.55 21.96 1.000 3 3 65 MDTM
10 21.64 22.18 20.69 1.000 2 3 48 MDTM
Ave. 20.95 (0.60 ) 22.76 (0.37 ) 21.13 (0.68 ) 1.00 (0.00 ) 1.70 (0.78 ) 3.00 (0.00 ) 56.80 (42.32 ) MDTM

  Confusion matrix for Best Ever Individual from run 10
Class
Predicted
Total
1
2
Ground Truth
1
354 19 373
2
95 83 178
Total
449 102 551

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.108
Add-Feature Mutation 0.111
Hoist Mutation 0.107
Swap Mutation 0.111
One-Symbol Mutation 0.110
All-Nodes Mutation 0.107
One-Node Mutation 0.114
Grow Mutation 0.111
High-Level Crossover 0.120
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 7
GL Criterion 1
Max. Generations 2
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
titanic_3_gen.m Matlab plot generation function
titanic_3_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
titanic_3_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
titanic_3_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
titanic_3_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
titanic_3_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
titanic_3_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
titanic_3_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
titanic_3_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
titanic_3_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
titanic_3_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
titanic_3_run_x.dat Binary data file containing results of run x (read by Matlab functions)
titanic_3_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
titanic_3_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
titanic_3_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_3_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
titanic_3_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_3_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
titanic_3_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
titanic_3_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_3_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_3_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_3_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_3_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_3_opprob_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average probability of each genetic operator for run x