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

 

Batch Details
Batch run name titanic_1
Description Titanic 1 on Nyquist
This report file final/titanic_1/titanic_1_report.html
data file /home/cssip_a/jsherrah/data/titanic_1.dat
Time of completion Wed May 13 22:17:59 1998
Duration of Batch 9 hours, 48 minutes, 50 seconds
Random Seed 178921611 (from clock)
Average generations per run 32.10
Average failed feature creations per run 9937.40
Average fitness evalutions per run 202441.90
Test Set Improvement 12.34 %
 
 

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) 31.45 32.73 30.67

  EPrep Best-of-run Classification Errors (%)
Run
Training
Validation
Test
McNemar confidence
# Features
# Inputs
# Nodes
Classifier
1 21.55 20.55 20.15 1.000 1 3 35 MDTM
2 21.55 20.55 20.15 1.000 1 3 15 MDTM
3 21.55 20.55 20.15 1.000 1 3 14 MDTM
4 21.55 20.55 20.15 1.000 2 3 22 MDTM
5 21.55 20.55 20.15 1.000 2 3 134 MDTM
6 21.55 20.55 20.15 1.000 1 3 15 MDTM
7 21.55 20.55 20.15 1.000 1 3 15 MDTM
8 21.55 20.55 20.15 1.000 1 3 16 MDTM
9 21.55 20.55 20.15 1.000 1 3 24 MDTM
10 21.55 20.55 20.15 1.000 1 3 12 MDTM
Ave. 21.55 (0.00 ) 20.55 (0.00 ) 20.15 (0.01 ) 1.00 (0.00 ) 1.20 (0.40 ) 3.00 (0.00 ) 30.20 (35.20 ) MDTM

  Confusion matrix for Best Ever Individual from run 10
Class
Predicted
Total
1
2
Ground Truth
1
365 7 372
2
104 75 179
Total
469 82 551

Average Operator Probabilities
Operator Average Probability
Delete-Feature Mutation 0.110
Add-Feature Mutation 0.108
Hoist Mutation 0.104
Swap Mutation 0.118
One-Symbol Mutation 0.113
All-Nodes Mutation 0.105
One-Node Mutation 0.113
Grow Mutation 0.107
High-Level Crossover 0.122
 

Number of Run Terminations attributed to each Criterion
Termination Criterion Number of Terminations
TP Criterion 3
GL Criterion 4
Max. Generations 3
Client Abort 0
Zero Validation Error 0
Total 10
 
 

Related Data Files
Description Filename
titanic_1_gen.m Matlab plot generation function
titanic_1_bogf_ave.{eps,gif} Best-of-generation Fitness, averaged over 10 runs
titanic_1_bogv_ave.{eps,gif} Best-of-generation Validation Set Error, averaged over 10 runs
titanic_1_avef_ave.{eps,gif} Average fitness, averaged over 10 runs
titanic_1_stdf_ave.{eps,gif} Standard deviation of fitness, averaged over 10 runs
titanic_1_nftr_ave.{eps,gif} Average number of features per individual, averaged over 10 runs
titanic_1_nnode_ave.{eps,gif} Average number of nodes per individual, averaged over 10 runs
titanic_1_nint_ave.{eps,gif} Average number of introns per individual, averaged over 10 runs
titanic_1_ntrl_ave.{eps,gif} Average number of RAT trials per individual, averaged over 10 runs
titanic_1_optimp_ave.{eps,gif} Average improvement in fitness due to optimisation, averaged over 10 runs
titanic_1_opprob_ave.{eps,gif} Average probability of each genetic operator, averaged over 10 runs
titanic_1_run_x.dat Binary data file containing results of run x (read by Matlab functions)
titanic_1_bor_x.prep 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-run individual for run x
titanic_1_run_x.corr 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Feature correlation file for run x
titanic_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
titanic_1_bogf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Best-of-generation Fitness for run x
titanic_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
titanic_1_avef_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Average fitness for run x
titanic_1_stdf_x.{eps,gif} 
x = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Standard deviation of fitness for run x
titanic_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
titanic_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
titanic_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
titanic_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
titanic_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
titanic_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