MMO Simplex, Max cost = 150, Iter RND = ON, Full RND = OFF, LRN = 10-CV, Test = 5 X 10 CV, 4 first measures, k=10, RAW, appendicitis Number of function evaluations: 152 Weights: 0.512017 0.273680 0.179696 0.566137 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:24:35 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.22% Accuracy: 100.00% Error: 0.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.512017 0.273680 0.179696 0.566137 Number of function evaluations: 152 Weights: 0.600913 0.105465 0.410204 0.545964 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:24:51 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.89% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.600913 0.105465 0.410204 0.545964 Number of function evaluations: 152 Weights: 0.401848 0.746812 0.480285 0.760319 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:25:07 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.401848 0.746812 0.480285 0.760319 Number of function evaluations: 151 Weights: 0.544008 0.526585 0.489365 0.413293 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:25:23 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.44% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.544008 0.526585 0.489365 0.413293 Number of function evaluations: 50 Weights: 0.758087 0.580965 0.054827 0.594074 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:25:29 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.33% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 1 Average Percentage of total number of impasses: 9.09% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.758087 0.580965 0.054827 0.594074 Number of function evaluations: 151 Weights: 0.042477 0.827247 0.414229 0.197215 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:25:45 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 84.67% Accuracy: 100.00% Error: 0.00% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 11/11 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.042477 0.827247 0.414229 0.197215 Number of function evaluations: 151 Weights: 0.423541 0.769378 0.661268 0.201297 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:26:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.423541 0.769378 0.661268 0.201297 Number of function evaluations: 10 Weights: 0.489609 0.587891 0.559387 0.253113 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:26:03 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 1 Average Percentage of total number of impasses: 9.09% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.489609 0.587891 0.559387 0.253113 Number of function evaluations: 152 Weights: 0.653019 0.550242 0.607930 0.131034 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:26:19 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 72.73% Error: 27.27% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 3 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.653019 0.550242 0.607930 0.131034 Number of function evaluations: 0 Weights: 0.539307 0.348816 0.340240 0.344727 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:26:19 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.22% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.539307 0.348816 0.340240 0.344727 **************************************************************************************************** Run 1. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 86.38% **************************************************************************************************** Output Created: Thu Dec 25 01:26:19 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.38% Accuracy: 85.82% Error: 14.18% Number of test cases: 106/106 (0 missing) Number of training cases: 954/954 (0 missing) Number of discarded cases: 0 Number of classification errors: 15 Number of correctly classified cases: 91/91 Average Total number of impasses: 2 Average Percentage of total number of impasses: 1.82% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Indexes of wrongly classfied cases are given below: 99 [C9] 70 [C7] 86 [C8] 40 [C4] 28 [C2] 44 [C4] 76 [C7] 103 [C10] 57 [C5] 47 [C4] 35 [C3] 82 [C8] 90 [C9] 41 [C4] 100 [C10] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 79 6 2 | 9 12 Number of function evaluations: 151 Weights: 0.836578 0.702652 0.286942 -0.138245 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:26:36 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.78% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.836578 0.702652 0.286942 -0.138245 Number of function evaluations: 151 Weights: 0.763528 0.179902 0.540369 0.521475 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:26:52 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.763528 0.179902 0.540369 0.521475 Number of function evaluations: 151 Weights: 0.634060 0.517631 -0.018305 0.944863 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:27:08 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.67% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.634060 0.517631 -0.018305 0.944863 Number of function evaluations: 151 Weights: 0.740326 0.839965 0.000152 0.841341 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:27:24 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.740326 0.839965 0.000152 0.841341 Number of function evaluations: 0 Weights: 0.733276 0.038300 0.712219 0.476379 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:27:25 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.89% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.733276 0.038300 0.712219 0.476379 Number of function evaluations: 14 Weights: 0.487467 0.433310 0.215481 0.893516 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:27:27 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.00% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 1 Average Percentage of total number of impasses: 9.09% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.487467 0.433310 0.215481 0.893516 Number of function evaluations: 151 Weights: 0.289938 0.692952 0.296683 0.171763 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:27:43 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.289938 0.692952 0.296683 0.171763 Number of function evaluations: 0 Weights: 0.903900 0.083466 0.062836 0.157562 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:27:44 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 84.22% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 1 Average Percentage of total number of impasses: 9.09% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.903900 0.083466 0.062836 0.157562 Number of function evaluations: 151 Weights: 0.840599 0.201802 -0.131528 1.197480 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:28:00 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 84.44% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.840599 0.201802 -0.131528 1.197480 Number of function evaluations: 4 Weights: 0.285034 0.953949 0.708893 0.697540 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:28:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.67% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.285034 0.953949 0.708893 0.697540 **************************************************************************************************** Run 2. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 86.41% **************************************************************************************************** Output Created: Thu Dec 25 01:28:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.41% Accuracy: 85.91% Error: 14.09% Number of test cases: 106/106 (0 missing) Number of training cases: 954/954 (0 missing) Number of discarded cases: 0 Number of classification errors: 15 Number of correctly classified cases: 91/91 Average Total number of impasses: 2 Average Percentage of total number of impasses: 1.82% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Indexes of wrongly classfied cases are given below: 99 [C9] 103 [C10] 100 [C10] 82 [C8] 44 [C4] 86 [C8] 90 [C9] 57 [C5] 28 [C2] 47 [C4] 76 [C7] 35 [C3] 41 [C4] 70 [C7] 40 [C4] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 79 6 2 | 9 12 Number of function evaluations: 46 Weights: 0.962280 0.339767 0.567871 0.418098 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:28:06 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.67% Accuracy: 70.00% Error: 30.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 3 Number of correctly classified cases: 7/7 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.962280 0.339767 0.567871 0.418098 Number of function evaluations: 8 Weights: 0.446881 0.448122 0.600622 0.393342 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:28:08 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.78% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.446881 0.448122 0.600622 0.393342 Number of function evaluations: 22 Weights: 0.865322 0.397381 0.885871 0.037246 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:28:10 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.865322 0.397381 0.885871 0.037246 Number of function evaluations: 152 Weights: 0.157654 0.215942 0.754913 0.250610 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:28:27 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.33% Accuracy: 100.00% Error: 0.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.157654 0.215942 0.754913 0.250610 Number of function evaluations: 151 Weights: 0.107330 0.895630 0.558350 0.403473 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:28:43 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.33% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.107330 0.895630 0.558350 0.403473 Number of function evaluations: 6 Weights: 1.739105 0.771770 0.267288 -0.011551 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:28:44 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 1.739105 0.771770 0.267288 -0.011551 Number of function evaluations: 154 Weights: 0.191732 0.663697 0.979488 0.454535 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:29:00 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.191732 0.663697 0.979488 0.454535 Number of function evaluations: 152 Weights: 1.134823 0.429347 0.830430 0.217155 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:29:16 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.11% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 1 Average Percentage of total number of impasses: 9.09% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 1.134823 0.429347 0.830430 0.217155 Number of function evaluations: 154 Weights: 0.644379 0.344834 0.298628 0.541929 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:29:32 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.11% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.644379 0.344834 0.298628 0.541929 Number of function evaluations: 151 Weights: 0.044436 0.270390 0.559356 0.550413 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:29:48 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.044436 0.270390 0.559356 0.550413 **************************************************************************************************** Run 3. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 86.90% **************************************************************************************************** Output Created: Thu Dec 25 01:29:48 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.90% Accuracy: 85.91% Error: 14.09% Number of test cases: 106/106 (0 missing) Number of training cases: 954/954 (0 missing) Number of discarded cases: 0 Number of classification errors: 15 Number of correctly classified cases: 91/91 Average Total number of impasses: 1 Average Percentage of total number of impasses: 0.91% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Indexes of wrongly classfied cases are given below: 99 [C9] 100 [C10] 41 [C4] 90 [C9] 86 [C8] 28 [C2] 82 [C8] 57 [C5] 40 [C4] 47 [C4] 35 [C3] 76 [C7] 44 [C4] 70 [C7] 103 [C10] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 79 6 2 | 9 12 Number of function evaluations: 151 Weights: 0.576047 0.718191 0.106897 0.523267 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:30:04 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 84.44% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.576047 0.718191 0.106897 0.523267 Number of function evaluations: 151 Weights: 0.872883 0.085802 0.095220 0.592711 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:30:20 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.78% Accuracy: 70.00% Error: 30.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 3 Number of correctly classified cases: 7/7 Average Total number of impasses: 1 Average Percentage of total number of impasses: 10.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.872883 0.085802 0.095220 0.592711 Number of function evaluations: 151 Weights: 0.376358 0.441074 0.588368 0.415219 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:30:36 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.33% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.376358 0.441074 0.588368 0.415219 Number of function evaluations: 152 Weights: 0.713303 0.900963 0.572113 0.618986 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:30:52 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.56% Accuracy: 80.00% Error: 20.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.713303 0.900963 0.572113 0.618986 Number of function evaluations: 14 Weights: 0.870865 0.352203 0.449661 0.913788 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:30:54 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.22% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.870865 0.352203 0.449661 0.913788 Number of function evaluations: 4 Weights: 0.734573 0.070663 0.437729 0.125046 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:30:55 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.44% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.734573 0.070663 0.437729 0.125046 Number of function evaluations: 152 Weights: 0.383033 0.123961 0.490740 0.652427 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:31:11 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.383033 0.123961 0.490740 0.652427 Number of function evaluations: 151 Weights: 0.422698 0.406312 0.366089 0.811368 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:31:27 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.33% Accuracy: 100.00% Error: 0.00% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 11/11 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.422698 0.406312 0.366089 0.811368 Number of function evaluations: 153 Weights: 0.385940 0.711258 0.727386 0.662953 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:31:43 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.33% Accuracy: 100.00% Error: 0.00% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 11/11 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.385940 0.711258 0.727386 0.662953 Number of function evaluations: 10 Weights: 0.658936 0.826172 0.176392 0.251953 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:31:45 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.44% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.658936 0.826172 0.176392 0.251953 **************************************************************************************************** Run 4. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 86.53% **************************************************************************************************** Output Created: Thu Dec 25 01:31:45 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.53% Accuracy: 86.55% Error: 13.45% Number of test cases: 106/106 (0 missing) Number of training cases: 954/954 (0 missing) Number of discarded cases: 0 Number of classification errors: 14 Number of correctly classified cases: 92/92 Average Total number of impasses: 1 Average Percentage of total number of impasses: 1.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Indexes of wrongly classfied cases are given below: 35 [C3] 99 [C9] 57 [C5] 44 [C4] 41 [C4] 40 [C4] 82 [C8] 70 [C7] 100 [C10] 28 [C2] 103 [C10] 86 [C8] 90 [C9] 47 [C4] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 80 5 2 | 9 12 Number of function evaluations: 152 Weights: 0.532486 0.988282 0.046966 0.961785 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:32:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 2 Average Percentage of total number of impasses: 20.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.532486 0.988282 0.046966 0.961785 Number of function evaluations: 151 Weights: 0.329734 0.165332 1.022738 0.285686 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:32:18 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.33% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.329734 0.165332 1.022738 0.285686 Number of function evaluations: 151 Weights: 0.821100 0.094350 0.362926 0.910706 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:32:34 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.67% Accuracy: 100.00% Error: 0.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 0 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.821100 0.094350 0.362926 0.910706 Number of function evaluations: 152 Weights: 0.558327 0.651827 1.080579 0.077245 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:32:50 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.44% Accuracy: 90.00% Error: 10.00% Number of test cases: 10/10 (0 missing) Number of training cases: 96/96 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.558327 0.651827 1.080579 0.077245 Number of function evaluations: 0 Weights: 0.146210 0.726166 0.367035 0.872375 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:32:51 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 2 Average Percentage of total number of impasses: 18.18% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.146210 0.726166 0.367035 0.872375 Number of function evaluations: 153 Weights: 0.366603 0.429956 0.290325 0.350331 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:33:07 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 81.82% Error: 18.18% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 2 Number of correctly classified cases: 9/9 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.366603 0.429956 0.290325 0.350331 Number of function evaluations: 12 Weights: 0.362473 0.354203 0.371043 0.944794 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:33:08 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.362473 0.354203 0.371043 0.944794 Number of function evaluations: 31 Weights: 0.533291 0.201149 0.624662 0.203058 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:33:12 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.33% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.533291 0.201149 0.624662 0.203058 Number of function evaluations: 152 Weights: 0.203169 0.600996 0.663727 0.897633 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:33:28 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% Accuracy: 90.91% Error: 9.09% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 1 Number of correctly classified cases: 10/10 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.203169 0.600996 0.663727 0.897633 Number of function evaluations: 63 Weights: 0.517615 0.614081 0.338668 0.517924 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:33:35 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.33% Accuracy: 72.73% Error: 27.27% Number of test cases: 11/11 (0 missing) Number of training cases: 95/95 (0 missing) Number of discarded cases: 0 Number of classification errors: 3 Number of correctly classified cases: 8/8 Average Total number of impasses: 0 Average Percentage of total number of impasses: 0.00% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Weights: 0.517615 0.614081 0.338668 0.517924 **************************************************************************************************** Run 5. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 86.67% **************************************************************************************************** Output Created: Thu Dec 25 01:33:35 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.67% Accuracy: 87.91% Error: 12.09% Number of test cases: 106/106 (0 missing) Number of training cases: 954/954 (0 missing) Number of discarded cases: 0 Number of classification errors: 13 Number of correctly classified cases: 93/93 Average Total number of impasses: 4 Average Percentage of total number of impasses: 3.82% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False **************************************************************************************************** Indexes of wrongly classfied cases are given below: 99 [C9] 44 [C4] 35 [C3] 76 [C7] 103 [C10] 82 [C8] 41 [C4] 57 [C5] 70 [C7] 100 [C10] 28 [C2] 47 [C4] 90 [C9] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 80 5 2 | 8 13 Final average results: Run 1. | Training Accuracy: 86.38%, Test Accuracy: 85.82% __________________________________________________________________________ CV 1.: Train Acc.: 86.22% Test Acc.: 100.00% CV 2.: Train Acc.: 86.89% Test Acc.: 80.00% CV 3.: Train Acc.: 86.56% Test Acc.: 80.00% CV 4.: Train Acc.: 87.44% Test Acc.: 80.00% CV 5.: Train Acc.: 85.33% Test Acc.: 90.91% CV 6.: Train Acc.: 84.67% Test Acc.: 100.00% CV 7.: Train Acc.: 86.44% Test Acc.: 90.91% CV 8.: Train Acc.: 87.56% Test Acc.: 81.82% CV 9.: Train Acc.: 86.44% Test Acc.: 72.73% CV 10.: Train Acc.: 86.22% Test Acc.: 81.82% __________________________________________________________________________ Run 2. | Training Accuracy: 86.41%, Test Accuracy: 85.91% __________________________________________________________________________ CV 1.: Train Acc.: 86.78% Test Acc.: 90.00% CV 2.: Train Acc.: 87.56% Test Acc.: 90.00% CV 3.: Train Acc.: 86.67% Test Acc.: 90.00% CV 4.: Train Acc.: 86.56% Test Acc.: 80.00% CV 5.: Train Acc.: 85.89% Test Acc.: 81.82% CV 6.: Train Acc.: 85.00% Test Acc.: 90.91% CV 7.: Train Acc.: 88.33% Test Acc.: 81.82% CV 8.: Train Acc.: 84.22% Test Acc.: 90.91% CV 9.: Train Acc.: 84.44% Test Acc.: 81.82% CV 10.: Train Acc.: 88.67% Test Acc.: 81.82% __________________________________________________________________________ Run 3. | Training Accuracy: 86.90%, Test Accuracy: 85.91% __________________________________________________________________________ CV 1.: Train Acc.: 88.67% Test Acc.: 70.00% CV 2.: Train Acc.: 87.78% Test Acc.: 90.00% CV 3.: Train Acc.: 86.44% Test Acc.: 90.00% CV 4.: Train Acc.: 85.33% Test Acc.: 100.00% CV 5.: Train Acc.: 86.33% Test Acc.: 90.91% CV 6.: Train Acc.: 88.33% Test Acc.: 81.82% CV 7.: Train Acc.: 88.33% Test Acc.: 81.82% CV 8.: Train Acc.: 85.11% Test Acc.: 81.82% CV 9.: Train Acc.: 86.11% Test Acc.: 90.91% CV 10.: Train Acc.: 86.56% Test Acc.: 81.82% __________________________________________________________________________ Run 4. | Training Accuracy: 86.53%, Test Accuracy: 86.55% __________________________________________________________________________ CV 1.: Train Acc.: 84.44% Test Acc.: 90.00% CV 2.: Train Acc.: 89.78% Test Acc.: 70.00% CV 3.: Train Acc.: 87.33% Test Acc.: 80.00% CV 4.: Train Acc.: 85.56% Test Acc.: 80.00% CV 5.: Train Acc.: 86.22% Test Acc.: 90.91% CV 6.: Train Acc.: 87.44% Test Acc.: 81.82% CV 7.: Train Acc.: 86.44% Test Acc.: 81.82% CV 8.: Train Acc.: 86.33% Test Acc.: 100.00% CV 9.: Train Acc.: 86.33% Test Acc.: 100.00% CV 10.: Train Acc.: 85.44% Test Acc.: 90.91% __________________________________________________________________________ Run 5. | Training Accuracy: 86.67%, Test Accuracy: 87.91% __________________________________________________________________________ CV 1.: Train Acc.: 87.56% Test Acc.: 90.00% CV 2.: Train Acc.: 87.33% Test Acc.: 90.00% CV 3.: Train Acc.: 86.67% Test Acc.: 100.00% CV 4.: Train Acc.: 85.44% Test Acc.: 90.00% CV 5.: Train Acc.: 87.56% Test Acc.: 81.82% CV 6.: Train Acc.: 86.44% Test Acc.: 81.82% CV 7.: Train Acc.: 86.44% Test Acc.: 90.91% CV 8.: Train Acc.: 85.33% Test Acc.: 90.91% CV 9.: Train Acc.: 86.56% Test Acc.: 90.91% CV 10.: Train Acc.: 87.33% Test Acc.: 72.73% __________________________________________________________________________ Average Train Acc. : 86.58%, std. 1.19% (+/- 1.42%), Average Test Acc. : 86.42%, std. 7.70%, (+/- 59.21%) [over 50 runs] Average Train Acc. : 86.58% std. 0.21% (+/- 0.05%), Average Test Acc. : 86.42%, std. 0.88% (+/- 0.78%), [over 5 runs]