The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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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 |
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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 |
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Total | ||
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Ground Truth |
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337 | 35 | 372 |
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76 | 103 | 179 | |
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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 |