The Evolutionary Pre-Processor (version 3.0) Batch Run Report |
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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 |
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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 |
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Total | ||
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Ground Truth |
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365 | 7 | 372 |
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104 | 75 | 179 | |
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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 |