================================================================================ Model name: am_lidy Number of iterations = 3 -------------------------------------------------------------------------------- Iteration 1 Accuracy: 67.00% Accuracy (normalised for class sizes): 67.00% Raw Confusion Matrix: Truth A B C D E Classification A 25 8 0 6 3 B 2 22 2 14 0 C 0 2 34 0 1 D 6 8 4 20 3 E 7 0 0 0 33 Confusion Matrix percentage: Truth A B C D E Classification A 62.50% 20.00% 0.00% 15.00% 7.50% B 5.00% 55.00% 5.00% 35.00% 0.00% C 0.00% 5.00% 85.00% 0.00% 2.50% D 15.00% 20.00% 10.00% 50.00% 7.50% E 17.50% 0.00% 0.00% 0.00% 82.50% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Iteration 2 Accuracy: 56.50% Accuracy (normalised for class sizes): 56.50% Raw Confusion Matrix: Truth A B C D E Classification A 23 7 4 6 13 B 5 18 3 10 1 C 3 11 32 6 2 D 0 4 1 18 2 E 9 0 0 0 22 Confusion Matrix percentage: Truth A B C D E Classification A 57.50% 17.50% 10.00% 15.00% 32.50% B 12.50% 45.00% 7.50% 25.00% 2.50% C 7.50% 27.50% 80.00% 15.00% 5.00% D 0.00% 10.00% 2.50% 45.00% 5.00% E 22.50% 0.00% 0.00% 0.00% 55.00% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Iteration 3 Accuracy: 55.50% Accuracy (normalised for class sizes): 55.50% Raw Confusion Matrix: Truth A B C D E Classification A 15 5 0 3 7 B 5 19 11 8 1 C 5 3 24 2 0 D 9 13 1 25 4 E 6 0 4 2 28 Confusion Matrix percentage: Truth A B C D E Classification A 37.50% 12.50% 0.00% 7.50% 17.50% B 12.50% 47.50% 27.50% 20.00% 2.50% C 12.50% 7.50% 60.00% 5.00% 0.00% D 22.50% 32.50% 2.50% 62.50% 10.00% E 15.00% 0.00% 10.00% 5.00% 70.00% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- ================================================================================ Overall Evaluation for am_lidy -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Overall Accuracy am_lidy: 59.67% Standard Deviation: 3.00 Overall Accuracy (normalised for class sizes) am_lidy: 59.67% Standard Deviation: 3.00 Raw Confusion Matrix: Truth A B C D E Classification A 63 20 4 15 23 B 12 59 16 32 2 C 8 16 90 8 3 D 15 25 6 63 9 E 22 0 4 2 83 Confusion Matrix percentage: Truth A B C D E Classification A 52.50% 16.67% 3.33% 12.50% 19.17% B 10.00% 49.17% 13.33% 26.67% 1.67% C 6.67% 13.33% 75.00% 6.67% 2.50% D 12.50% 20.83% 5.00% 52.50% 7.50% E 18.33% 0.00% 3.33% 1.67% 69.17% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 --------------------------------------------------------------------------------