WNN Simplex, Max cost = 150, Iter RND = ON, Full RND = OFF, LRN = 10-CV, Test = 5 X 10 CV, Euclidean, k=10, RAW, appendicitis Number of function evaluations: 62 Weights: 0.459163 0.675662 0.244371 0.585665 1.171992 0.128569 -0.146915 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:20:33 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: 0.459163 0.675662 0.244371 0.585665 1.171992 0.128569 -0.146915 **************************************************************************************************** Weights: 0.459163 0.675662 0.244371 0.585665 1.171992 0.128569 -0.146915 Number of function evaluations: 151 Weights: 0.518815 0.479354 0.641806 0.438201 0.032306 -0.147053 0.367413 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:20:35 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 Similarity Function: Euclidean Weights: 0.518815 0.479354 0.641806 0.438201 0.032306 -0.147053 0.367413 **************************************************************************************************** Weights: 0.518815 0.479354 0.641806 0.438201 0.032306 -0.147053 0.367413 Number of function evaluations: 151 Weights: 0.540253 0.069765 0.660745 0.103266 0.840920 0.799860 0.120236 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:20:37 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% 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 Similarity Function: Euclidean Weights: 0.540253 0.069765 0.660745 0.103266 0.840920 0.799860 0.120236 **************************************************************************************************** Weights: 0.540253 0.069765 0.660745 0.103266 0.840920 0.799860 0.120236 Number of function evaluations: 70 Weights: 0.652023 0.335948 0.039449 0.671921 0.405973 0.827555 0.749359 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:20:38 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.56% 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 Similarity Function: Euclidean Weights: 0.652023 0.335948 0.039449 0.671921 0.405973 0.827555 0.749359 **************************************************************************************************** Weights: 0.652023 0.335948 0.039449 0.671921 0.405973 0.827555 0.749359 Number of function evaluations: 155 Weights: 0.096545 0.402064 0.272525 0.728690 0.504307 0.701497 0.422603 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:20:40 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 Similarity Function: Euclidean Weights: 0.096545 0.402064 0.272525 0.728690 0.504307 0.701497 0.422603 **************************************************************************************************** Weights: 0.096545 0.402064 0.272525 0.728690 0.504307 0.701497 0.422603 Number of function evaluations: 156 Weights: -0.078522 -0.029500 -0.027961 0.984249 0.144882 0.424313 0.168224 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:20:42 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 Similarity Function: Euclidean Weights: -0.078522 -0.029500 -0.027961 0.984249 0.144882 0.424313 0.168224 **************************************************************************************************** Weights: -0.078522 -0.029500 -0.027961 0.984249 0.144882 0.424313 0.168224 Number of function evaluations: 79 Weights: 0.422767 0.782069 0.045758 0.741485 0.527048 0.269493 0.351655 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:20:43 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 90.78% 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 Similarity Function: Euclidean Weights: 0.422767 0.782069 0.045758 0.741485 0.527048 0.269493 0.351655 **************************************************************************************************** Weights: 0.422767 0.782069 0.045758 0.741485 0.527048 0.269493 0.351655 Number of function evaluations: 154 Weights: 0.282986 0.755583 0.658012 0.211779 1.040785 0.463774 0.416250 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:20:45 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: 0.282986 0.755583 0.658012 0.211779 1.040785 0.463774 0.416250 **************************************************************************************************** Weights: 0.282986 0.755583 0.658012 0.211779 1.040785 0.463774 0.416250 Number of function evaluations: 152 Weights: 0.640573 1.844831 0.954268 1.521988 1.101064 -0.147634 0.125665 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:20:47 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 Similarity Function: Euclidean Weights: 0.640573 1.844831 0.954268 1.521988 1.101064 -0.147634 0.125665 **************************************************************************************************** Weights: 0.640573 1.844831 0.954268 1.521988 1.101064 -0.147634 0.125665 Number of function evaluations: 155 Weights: 0.451813 0.771051 -0.188542 0.648508 0.842518 0.527645 0.635437 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:20:49 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.11% 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: 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 Similarity Function: Euclidean Weights: 0.451813 0.771051 -0.188542 0.648508 0.842518 0.527645 0.635437 **************************************************************************************************** Weights: 0.451813 0.771051 -0.188542 0.648508 0.842518 0.527645 0.635437 **************************************************************************************************** Run 1. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 87.63% **************************************************************************************************** Output Created: Thu Dec 25 01:20:49 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.63% Accuracy: 86.91% Error: 13.09% 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: 14 Number of correctly classified cases: 92/92 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 Similarity Function: Euclidean Weights: 0.451813 0.771051 -0.188542 0.648508 0.842518 0.527645 0.635437 **************************************************************************************************** Indexes of wrongly classfied cases are given below: 88 [C8] 28 [C2] 86 [C8] 47 [C4] 35 [C3] 90 [C9] 41 [C4] 82 [C8] 40 [C4] 103 [C10] 100 [C10] 44 [C4] 99 [C9] 70 [C7] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 79 6 2 | 8 13 Number of function evaluations: 152 Weights: 0.404150 0.374315 0.465106 0.794912 0.957509 0.309562 0.490494 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:20:51 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% 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 Similarity Function: Euclidean Weights: 0.404150 0.374315 0.465106 0.794912 0.957509 0.309562 0.490494 **************************************************************************************************** Weights: 0.404150 0.374315 0.465106 0.794912 0.957509 0.309562 0.490494 Number of function evaluations: 153 Weights: 0.141593 0.317400 0.474103 0.432559 0.799097 0.744092 0.381878 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:20:53 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% 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 Similarity Function: Euclidean Weights: 0.141593 0.317400 0.474103 0.432559 0.799097 0.744092 0.381878 **************************************************************************************************** Weights: 0.141593 0.317400 0.474103 0.432559 0.799097 0.744092 0.381878 Number of function evaluations: 153 Weights: 0.461950 0.817967 0.792072 0.935034 0.586413 0.647817 0.913429 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:20:55 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.44% Accuracy: 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 Similarity Function: Euclidean Weights: 0.461950 0.817967 0.792072 0.935034 0.586413 0.647817 0.913429 **************************************************************************************************** Weights: 0.461950 0.817967 0.792072 0.935034 0.586413 0.647817 0.913429 Number of function evaluations: 153 Weights: 0.514154 0.554359 0.013364 0.480045 0.784714 0.659771 0.493458 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:20:57 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.67% 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 Similarity Function: Euclidean Weights: 0.514154 0.554359 0.013364 0.480045 0.784714 0.659771 0.493458 **************************************************************************************************** Weights: 0.514154 0.554359 0.013364 0.480045 0.784714 0.659771 0.493458 Number of function evaluations: 117 Weights: -0.075317 0.360448 -0.051166 -0.099520 0.860051 0.259588 0.310363 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:20:59 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: -0.075317 0.360448 -0.051166 -0.099520 0.860051 0.259588 0.310363 **************************************************************************************************** Weights: -0.075317 0.360448 -0.051166 -0.099520 0.860051 0.259588 0.310363 Number of function evaluations: 156 Weights: 0.421195 0.138653 0.506563 0.319043 1.060782 0.284785 0.819155 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:21:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% 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 Similarity Function: Euclidean Weights: 0.421195 0.138653 0.506563 0.319043 1.060782 0.284785 0.819155 **************************************************************************************************** Weights: 0.421195 0.138653 0.506563 0.319043 1.060782 0.284785 0.819155 Number of function evaluations: 37 Weights: 0.898273 -0.024450 0.275304 0.720791 1.331902 -0.076109 0.508577 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:21:02 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.67% 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: 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 Similarity Function: Euclidean Weights: 0.898273 -0.024450 0.275304 0.720791 1.331902 -0.076109 0.508577 **************************************************************************************************** Weights: 0.898273 -0.024450 0.275304 0.720791 1.331902 -0.076109 0.508577 Number of function evaluations: 151 Weights: 0.514080 0.405537 0.610929 0.788515 0.803981 0.627570 0.810205 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:21:04 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 Similarity Function: Euclidean Weights: 0.514080 0.405537 0.610929 0.788515 0.803981 0.627570 0.810205 **************************************************************************************************** Weights: 0.514080 0.405537 0.610929 0.788515 0.803981 0.627570 0.810205 Number of function evaluations: 151 Weights: 0.682727 0.207600 0.752160 0.684715 0.291331 0.742416 0.343508 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:21:06 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 Similarity Function: Euclidean Weights: 0.682727 0.207600 0.752160 0.684715 0.291331 0.742416 0.343508 **************************************************************************************************** Weights: 0.682727 0.207600 0.752160 0.684715 0.291331 0.742416 0.343508 Number of function evaluations: 24 Weights: 1.032317 -0.103009 0.625576 0.256847 0.699732 0.751894 0.418989 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:21:07 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 92.89% Accuracy: 54.55% Error: 45.45% 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: 5 Number of correctly classified cases: 6/6 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 Similarity Function: Euclidean Weights: 1.032317 -0.103009 0.625576 0.256847 0.699732 0.751894 0.418989 **************************************************************************************************** Weights: 1.032317 -0.103009 0.625576 0.256847 0.699732 0.751894 0.418989 **************************************************************************************************** Run 2. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 88.14% **************************************************************************************************** Output Created: Thu Dec 25 01:21:07 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.14% Accuracy: 84.91% Error: 15.09% 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: 16 Number of correctly classified cases: 90/90 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 Similarity Function: Euclidean Weights: 1.032317 -0.103009 0.625576 0.256847 0.699732 0.751894 0.418989 **************************************************************************************************** Indexes of wrongly classfied cases are given below: 86 [C8] 41 [C4] 35 [C3] 21 [C2] 90 [C9] 70 [C7] 47 [C4] 44 [C4] 88 [C8] 100 [C10] 28 [C2] 82 [C8] 99 [C9] 40 [C4] 57 [C5] 103 [C10] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 78 7 2 | 9 12 Number of function evaluations: 151 Weights: 0.496664 0.600229 0.105001 0.208285 0.666294 0.595444 0.307848 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:21:09 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% 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 Similarity Function: Euclidean Weights: 0.496664 0.600229 0.105001 0.208285 0.666294 0.595444 0.307848 **************************************************************************************************** Weights: 0.496664 0.600229 0.105001 0.208285 0.666294 0.595444 0.307848 Number of function evaluations: 156 Weights: 0.540162 0.112046 0.575802 0.228283 0.753327 0.031384 0.795410 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:21:11 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.78% 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 Similarity Function: Euclidean Weights: 0.540162 0.112046 0.575802 0.228283 0.753327 0.031384 0.795410 **************************************************************************************************** Weights: 0.540162 0.112046 0.575802 0.228283 0.753327 0.031384 0.795410 Number of function evaluations: 152 Weights: 0.218357 0.822222 0.270632 0.277007 1.004708 0.465972 0.397018 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:21:13 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: 0.218357 0.822222 0.270632 0.277007 1.004708 0.465972 0.397018 **************************************************************************************************** Weights: 0.218357 0.822222 0.270632 0.277007 1.004708 0.465972 0.397018 Number of function evaluations: 151 Weights: 0.733306 -0.274408 0.307859 0.868960 1.589369 0.394395 -0.487165 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:21:15 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.89% 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 Similarity Function: Euclidean Weights: 0.733306 -0.274408 0.307859 0.868960 1.589369 0.394395 -0.487165 **************************************************************************************************** Weights: 0.733306 -0.274408 0.307859 0.868960 1.589369 0.394395 -0.487165 Number of function evaluations: 151 Weights: 0.427276 0.497953 -0.032207 0.998610 0.733018 0.436125 0.274487 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:21:17 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.33% Accuracy: 90.91% 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 Similarity Function: Euclidean Weights: 0.427276 0.497953 -0.032207 0.998610 0.733018 0.436125 0.274487 **************************************************************************************************** Weights: 0.427276 0.497953 -0.032207 0.998610 0.733018 0.436125 0.274487 Number of function evaluations: 151 Weights: 0.572842 0.141775 0.451634 0.501642 0.568359 0.528870 0.451429 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:21:19 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 85.22% 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 Similarity Function: Euclidean Weights: 0.572842 0.141775 0.451634 0.501642 0.568359 0.528870 0.451429 **************************************************************************************************** Weights: 0.572842 0.141775 0.451634 0.501642 0.568359 0.528870 0.451429 Number of function evaluations: 37 Weights: -0.410601 1.058407 0.019736 1.139306 1.046419 0.880221 0.514931 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:21:20 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 Similarity Function: Euclidean Weights: -0.410601 1.058407 0.019736 1.139306 1.046419 0.880221 0.514931 **************************************************************************************************** Weights: -0.410601 1.058407 0.019736 1.139306 1.046419 0.880221 0.514931 Number of function evaluations: 156 Weights: 0.497904 0.688924 0.520580 0.334058 0.943201 0.715046 0.490482 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:21:22 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.00% 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 Similarity Function: Euclidean Weights: 0.497904 0.688924 0.520580 0.334058 0.943201 0.715046 0.490482 **************************************************************************************************** Weights: 0.497904 0.688924 0.520580 0.334058 0.943201 0.715046 0.490482 Number of function evaluations: 153 Weights: 0.382946 1.000534 0.117213 0.938835 0.916539 0.558576 0.497811 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:21:24 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.33% 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 Similarity Function: Euclidean Weights: 0.382946 1.000534 0.117213 0.938835 0.916539 0.558576 0.497811 **************************************************************************************************** Weights: 0.382946 1.000534 0.117213 0.938835 0.916539 0.558576 0.497811 Number of function evaluations: 151 Weights: 0.843089 0.415619 -0.004404 0.458409 0.945260 0.796168 0.833542 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:21:26 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.33% 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 Similarity Function: Euclidean Weights: 0.843089 0.415619 -0.004404 0.458409 0.945260 0.796168 0.833542 **************************************************************************************************** Weights: 0.843089 0.415619 -0.004404 0.458409 0.945260 0.796168 0.833542 **************************************************************************************************** Run 3. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 87.72% **************************************************************************************************** Output Created: Thu Dec 25 01:21:26 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.72% Accuracy: 87.73% Error: 12.27% 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: 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 Similarity Function: Euclidean Weights: 0.843089 0.415619 -0.004404 0.458409 0.945260 0.796168 0.833542 **************************************************************************************************** Indexes of wrongly classfied cases are given below: 35 [C3] 40 [C4] 86 [C8] 47 [C4] 28 [C2] 44 [C4] 82 [C8] 41 [C4] 70 [C7] 100 [C10] 99 [C9] 90 [C9] 103 [C10] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 80 5 2 | 8 13 Number of function evaluations: 152 Weights: 0.656787 0.199615 0.134787 0.624316 0.217341 0.954122 0.902336 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:21:28 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.78% Accuracy: 60.00% Error: 40.00% 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: 4 Number of correctly classified cases: 6/6 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 Similarity Function: Euclidean Weights: 0.656787 0.199615 0.134787 0.624316 0.217341 0.954122 0.902336 **************************************************************************************************** Weights: 0.656787 0.199615 0.134787 0.624316 0.217341 0.954122 0.902336 Number of function evaluations: 155 Weights: 0.339428 0.300615 0.516637 0.265161 0.887836 0.051220 0.976875 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:21:30 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: 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 Similarity Function: Euclidean Weights: 0.339428 0.300615 0.516637 0.265161 0.887836 0.051220 0.976875 **************************************************************************************************** Weights: 0.339428 0.300615 0.516637 0.265161 0.887836 0.051220 0.976875 Number of function evaluations: 151 Weights: 0.693535 0.542895 1.608874 0.889324 1.224214 -0.263665 0.162678 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:21:32 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.67% 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 Similarity Function: Euclidean Weights: 0.693535 0.542895 1.608874 0.889324 1.224214 -0.263665 0.162678 **************************************************************************************************** Weights: 0.693535 0.542895 1.608874 0.889324 1.224214 -0.263665 0.162678 Number of function evaluations: 151 Weights: 0.390000 0.481453 0.210801 0.603833 0.923899 0.651205 0.197632 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:21:34 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 90.56% Accuracy: 60.00% Error: 40.00% 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: 4 Number of correctly classified cases: 6/6 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 Similarity Function: Euclidean Weights: 0.390000 0.481453 0.210801 0.603833 0.923899 0.651205 0.197632 **************************************************************************************************** Weights: 0.390000 0.481453 0.210801 0.603833 0.923899 0.651205 0.197632 Number of function evaluations: 79 Weights: 0.869105 0.464640 0.437805 0.332383 1.084365 0.740988 0.088258 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:21:35 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.00% 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 Similarity Function: Euclidean Weights: 0.869105 0.464640 0.437805 0.332383 1.084365 0.740988 0.088258 **************************************************************************************************** Weights: 0.869105 0.464640 0.437805 0.332383 1.084365 0.740988 0.088258 Number of function evaluations: 44 Weights: 0.125046 0.927965 -0.006742 0.595929 0.308797 0.512115 0.933243 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:21:36 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% 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 Similarity Function: Euclidean Weights: 0.125046 0.927965 -0.006742 0.595929 0.308797 0.512115 0.933243 **************************************************************************************************** Weights: 0.125046 0.927965 -0.006742 0.595929 0.308797 0.512115 0.933243 Number of function evaluations: 42 Weights: 0.199176 0.717142 0.760002 0.008691 1.155203 1.021314 0.363616 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:21:36 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: 0.199176 0.717142 0.760002 0.008691 1.155203 1.021314 0.363616 **************************************************************************************************** Weights: 0.199176 0.717142 0.760002 0.008691 1.155203 1.021314 0.363616 Number of function evaluations: 151 Weights: -0.424267 0.272062 -0.036243 0.095852 1.443941 -0.138737 0.316719 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:21:38 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: -0.424267 0.272062 -0.036243 0.095852 1.443941 -0.138737 0.316719 **************************************************************************************************** Weights: -0.424267 0.272062 -0.036243 0.095852 1.443941 -0.138737 0.316719 Number of function evaluations: 152 Weights: 0.514136 0.594725 -0.074518 0.450173 1.065899 0.621928 0.697222 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:21:40 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.44% 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 Similarity Function: Euclidean Weights: 0.514136 0.594725 -0.074518 0.450173 1.065899 0.621928 0.697222 **************************************************************************************************** Weights: 0.514136 0.594725 -0.074518 0.450173 1.065899 0.621928 0.697222 Number of function evaluations: 153 Weights: 0.606517 0.112720 -0.052626 0.853222 0.828922 0.976894 0.674556 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:21:42 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.67% 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 Similarity Function: Euclidean Weights: 0.606517 0.112720 -0.052626 0.853222 0.828922 0.976894 0.674556 **************************************************************************************************** Weights: 0.606517 0.112720 -0.052626 0.853222 0.828922 0.976894 0.674556 **************************************************************************************************** Run 4. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 87.98% **************************************************************************************************** Output Created: Thu Dec 25 01:21:42 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.98% Accuracy: 85.45% Error: 14.55% 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: 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 Similarity Function: Euclidean Weights: 0.606517 0.112720 -0.052626 0.853222 0.828922 0.976894 0.674556 **************************************************************************************************** Indexes of wrongly classfied cases are given below: 28 [C2] 82 [C8] 70 [C7] 40 [C4] 57 [C5] 103 [C10] 88 [C8] 86 [C8] 35 [C3] 47 [C4] 99 [C9] 100 [C10] 44 [C4] 41 [C4] 90 [C9] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 79 6 2 | 9 12 Number of function evaluations: 152 Weights: 0.682913 1.161869 -0.057483 0.647543 1.002408 0.924541 1.183062 **************************************************************************************************** Results with optimal weights on CV test partition 1 **************************************************************************************************** Output Created: Thu Dec 25 01:21:44 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.78% 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: 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 Similarity Function: Euclidean Weights: 0.682913 1.161869 -0.057483 0.647543 1.002408 0.924541 1.183062 **************************************************************************************************** Weights: 0.682913 1.161869 -0.057483 0.647543 1.002408 0.924541 1.183062 Number of function evaluations: 152 Weights: 0.703497 0.344467 -0.078815 0.830373 0.817715 0.685703 0.657843 **************************************************************************************************** Results with optimal weights on CV test partition 2 **************************************************************************************************** Output Created: Thu Dec 25 01:21:46 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.56% 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 Similarity Function: Euclidean Weights: 0.703497 0.344467 -0.078815 0.830373 0.817715 0.685703 0.657843 **************************************************************************************************** Weights: 0.703497 0.344467 -0.078815 0.830373 0.817715 0.685703 0.657843 Number of function evaluations: 152 Weights: 0.724894 0.370159 0.001725 0.561345 0.654933 0.840435 0.736691 **************************************************************************************************** Results with optimal weights on CV test partition 3 **************************************************************************************************** Output Created: Thu Dec 25 01:21:48 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: 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 Similarity Function: Euclidean Weights: 0.724894 0.370159 0.001725 0.561345 0.654933 0.840435 0.736691 **************************************************************************************************** Weights: 0.724894 0.370159 0.001725 0.561345 0.654933 0.840435 0.736691 Number of function evaluations: 157 Weights: 0.773917 0.443059 0.174208 0.843706 0.770914 0.565308 0.764505 **************************************************************************************************** Results with optimal weights on CV test partition 4 **************************************************************************************************** Output Created: Thu Dec 25 01:21:50 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 89.33% 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 Similarity Function: Euclidean Weights: 0.773917 0.443059 0.174208 0.843706 0.770914 0.565308 0.764505 **************************************************************************************************** Weights: 0.773917 0.443059 0.174208 0.843706 0.770914 0.565308 0.764505 Number of function evaluations: 4 Weights: 0.388489 0.599274 0.757812 0.363373 0.325195 0.403564 0.897614 **************************************************************************************************** Results with optimal weights on CV test partition 5 **************************************************************************************************** Output Created: Thu Dec 25 01:21:51 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% Accuracy: 63.64% Error: 36.36% 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: 4 Number of correctly classified cases: 7/7 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 Similarity Function: Euclidean Weights: 0.388489 0.599274 0.757812 0.363373 0.325195 0.403564 0.897614 **************************************************************************************************** Weights: 0.388489 0.599274 0.757812 0.363373 0.325195 0.403564 0.897614 Number of function evaluations: 151 Weights: 0.890900 0.301320 0.831859 0.633754 0.706147 0.973831 0.105528 **************************************************************************************************** Results with optimal weights on CV test partition 6 **************************************************************************************************** Output Created: Thu Dec 25 01:21:53 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 84.22% 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 Similarity Function: Euclidean Weights: 0.890900 0.301320 0.831859 0.633754 0.706147 0.973831 0.105528 **************************************************************************************************** Weights: 0.890900 0.301320 0.831859 0.633754 0.706147 0.973831 0.105528 Number of function evaluations: 152 Weights: 0.749253 0.708479 0.105993 0.021038 0.875130 0.205052 0.711590 **************************************************************************************************** Results with optimal weights on CV test partition 7 **************************************************************************************************** Output Created: Thu Dec 25 01:21:55 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 90.33% 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 Similarity Function: Euclidean Weights: 0.749253 0.708479 0.105993 0.021038 0.875130 0.205052 0.711590 **************************************************************************************************** Weights: 0.749253 0.708479 0.105993 0.021038 0.875130 0.205052 0.711590 Number of function evaluations: 151 Weights: 0.544333 0.987554 0.453615 1.088719 0.908487 0.324336 0.328225 **************************************************************************************************** Results with optimal weights on CV test partition 8 **************************************************************************************************** Output Created: Thu Dec 25 01:21:57 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 88.44% 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 Similarity Function: Euclidean Weights: 0.544333 0.987554 0.453615 1.088719 0.908487 0.324336 0.328225 **************************************************************************************************** Weights: 0.544333 0.987554 0.453615 1.088719 0.908487 0.324336 0.328225 Number of function evaluations: 152 Weights: 0.221758 0.958255 -0.192637 0.027770 0.749371 0.247961 0.533137 **************************************************************************************************** Results with optimal weights on CV test partition 9 **************************************************************************************************** Output Created: Thu Dec 25 01:21:59 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.33% 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 Similarity Function: Euclidean Weights: 0.221758 0.958255 -0.192637 0.027770 0.749371 0.247961 0.533137 **************************************************************************************************** Weights: 0.221758 0.958255 -0.192637 0.027770 0.749371 0.247961 0.533137 Number of function evaluations: 152 Weights: 0.785317 -0.035762 0.439201 0.754258 1.074790 0.721818 0.491155 **************************************************************************************************** Results with optimal weights on CV test partition 10 **************************************************************************************************** Output Created: Thu Dec 25 01:22:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 86.44% Accuracy: 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: 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 Similarity Function: Euclidean Weights: 0.785317 -0.035762 0.439201 0.754258 1.074790 0.721818 0.491155 **************************************************************************************************** Weights: 0.785317 -0.035762 0.439201 0.754258 1.074790 0.721818 0.491155 **************************************************************************************************** Run 5. Final 10 - fold Cross-Validation Results. Average Training Accuracy : 87.64% **************************************************************************************************** Output Created: Thu Dec 25 01:22:01 2008 Method Used: Weights Optimization Training Set: C:\Users\kagru\Documents\Dokumenty\CI\data\classifiction\append.d k: 10 Training Accuracy: 87.64% Accuracy: 84.91% Error: 15.09% 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: 16 Number of correctly classified cases: 90/90 Average Total number of impasses: 3 Average Percentage of total number of impasses: 2.82% Average Number of correctly broken impasses: 0 Average Percentage of number of correctly broken impasses: 0.00% -------------------------------------------------- Turned Off Attributes: Standardization [Training Set]: False Similarity Function: Euclidean Weights: 0.785317 -0.035762 0.439201 0.754258 1.074790 0.721818 0.491155 **************************************************************************************************** Indexes of wrongly classfied cases are given below: 35 [C3] 70 [C7] 44 [C4] 88 [C8] 99 [C9] 100 [C10] 28 [C2] 76 [C7] 21 [C2] 41 [C4] 82 [C8] 90 [C9] 40 [C4] 103 [C10] 86 [C8] 47 [C4] Cross Validation Confusion Matrix (Rows represent real class, columns: predicted class) 1 2 1 | 77 8 2 | 8 13 Final average results: Run 1. | Training Accuracy: 87.63%, Test Accuracy: 86.91% __________________________________________________________________________ CV 1.: Train Acc.: 88.44% Test Acc.: 90.00% CV 2.: Train Acc.: 86.44% Test Acc.: 90.00% CV 3.: Train Acc.: 87.56% Test Acc.: 80.00% CV 4.: Train Acc.: 87.56% Test Acc.: 100.00% CV 5.: Train Acc.: 86.56% Test Acc.: 81.82% CV 6.: Train Acc.: 86.22% Test Acc.: 81.82% CV 7.: Train Acc.: 90.78% Test Acc.: 81.82% CV 8.: Train Acc.: 88.44% Test Acc.: 90.91% CV 9.: Train Acc.: 86.22% Test Acc.: 90.91% CV 10.: Train Acc.: 88.11% Test Acc.: 81.82% __________________________________________________________________________ Run 2. | Training Accuracy: 88.14%, Test Accuracy: 84.91% __________________________________________________________________________ CV 1.: Train Acc.: 88.33% Test Acc.: 80.00% CV 2.: Train Acc.: 86.56% Test Acc.: 100.00% CV 3.: Train Acc.: 87.44% Test Acc.: 80.00% CV 4.: Train Acc.: 89.67% Test Acc.: 80.00% CV 5.: Train Acc.: 88.44% Test Acc.: 90.91% CV 6.: Train Acc.: 88.33% Test Acc.: 90.91% CV 7.: Train Acc.: 89.67% Test Acc.: 81.82% CV 8.: Train Acc.: 84.67% Test Acc.: 100.00% CV 9.: Train Acc.: 85.44% Test Acc.: 90.91% CV 10.: Train Acc.: 92.89% Test Acc.: 54.55% __________________________________________________________________________ Run 3. | Training Accuracy: 87.72%, Test Accuracy: 87.73% __________________________________________________________________________ CV 1.: Train Acc.: 86.44% Test Acc.: 100.00% CV 2.: Train Acc.: 88.78% Test Acc.: 80.00% CV 3.: Train Acc.: 88.44% Test Acc.: 80.00% CV 4.: Train Acc.: 88.89% Test Acc.: 90.00% CV 5.: Train Acc.: 87.33% Test Acc.: 90.91% CV 6.: Train Acc.: 85.22% Test Acc.: 100.00% CV 7.: Train Acc.: 87.44% Test Acc.: 81.82% CV 8.: Train Acc.: 87.00% Test Acc.: 81.82% CV 9.: Train Acc.: 89.33% Test Acc.: 81.82% CV 10.: Train Acc.: 88.33% Test Acc.: 90.91% __________________________________________________________________________ Run 4. | Training Accuracy: 87.98%, Test Accuracy: 85.45% __________________________________________________________________________ CV 1.: Train Acc.: 89.78% Test Acc.: 60.00% CV 2.: Train Acc.: 86.33% Test Acc.: 100.00% CV 3.: Train Acc.: 88.67% Test Acc.: 80.00% CV 4.: Train Acc.: 90.56% Test Acc.: 60.00% CV 5.: Train Acc.: 86.00% Test Acc.: 100.00% CV 6.: Train Acc.: 86.44% Test Acc.: 100.00% CV 7.: Train Acc.: 88.44% Test Acc.: 81.82% CV 8.: Train Acc.: 88.44% Test Acc.: 90.91% CV 9.: Train Acc.: 87.44% Test Acc.: 90.91% CV 10.: Train Acc.: 87.67% Test Acc.: 90.91% __________________________________________________________________________ Run 5. | Training Accuracy: 87.64%, Test Accuracy: 84.91% __________________________________________________________________________ CV 1.: Train Acc.: 88.78% Test Acc.: 70.00% CV 2.: Train Acc.: 86.56% Test Acc.: 100.00% CV 3.: Train Acc.: 87.56% Test Acc.: 90.00% CV 4.: Train Acc.: 89.33% Test Acc.: 80.00% CV 5.: Train Acc.: 88.44% Test Acc.: 63.64% CV 6.: Train Acc.: 84.22% Test Acc.: 100.00% CV 7.: Train Acc.: 90.33% Test Acc.: 72.73% CV 8.: Train Acc.: 88.44% Test Acc.: 90.91% CV 9.: Train Acc.: 86.33% Test Acc.: 81.82% CV 10.: Train Acc.: 86.44% Test Acc.: 100.00% __________________________________________________________________________ Average Train Acc. : 87.82%, std. 1.65% (+/- 2.72%), Average Test Acc. : 85.98%, std. 11.27%, (+/- 126.97%) [over 50 runs] Average Train Acc. : 87.82% std. 0.23% (+/- 0.05%), Average Test Acc. : 85.98%, std. 1.27% (+/- 1.62%), [over 5 runs]