================================================================================ Model name: am_lee_1 Number of iterations = 3 -------------------------------------------------------------------------------- Iteration 1 Accuracy: 51.50% Accuracy (normalised for class sizes): 51.50% Raw Confusion Matrix: Truth A B C D E Classification A 7 9 1 12 1 B 7 15 1 8 1 C 1 6 38 2 0 D 1 7 0 8 3 E 24 3 0 10 35 Confusion Matrix percentage: Truth A B C D E Classification A 17.50% 22.50% 2.50% 30.00% 2.50% B 17.50% 37.50% 2.50% 20.00% 2.50% C 2.50% 15.00% 95.00% 5.00% 0.00% D 2.50% 17.50% 0.00% 20.00% 7.50% E 60.00% 7.50% 0.00% 25.00% 87.50% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Iteration 2 Accuracy: 52.00% Accuracy (normalised for class sizes): 52.00% Raw Confusion Matrix: Truth A B C D E Classification A 13 7 1 6 6 B 8 16 1 12 2 C 4 12 36 3 1 D 4 3 2 10 2 E 11 2 0 9 29 Confusion Matrix percentage: Truth A B C D E Classification A 32.50% 17.50% 2.50% 15.00% 15.00% B 20.00% 40.00% 2.50% 30.00% 5.00% C 10.00% 30.00% 90.00% 7.50% 2.50% D 10.00% 7.50% 5.00% 25.00% 5.00% E 27.50% 5.00% 0.00% 22.50% 72.50% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Iteration 3 Accuracy: 46.00% Accuracy (normalised for class sizes): 46.00% Raw Confusion Matrix: Truth A B C D E Classification A 10 4 2 3 9 B 8 13 10 8 1 C 6 4 27 4 0 D 4 12 1 12 0 E 12 7 0 13 30 Confusion Matrix percentage: Truth A B C D E Classification A 25.00% 10.00% 5.00% 7.50% 22.50% B 20.00% 32.50% 25.00% 20.00% 2.50% C 15.00% 10.00% 67.50% 10.00% 0.00% D 10.00% 30.00% 2.50% 30.00% 0.00% E 30.00% 17.50% 0.00% 32.50% 75.00% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 -------------------------------------------------------------------------------- ================================================================================ Overall Evaluation for am_lee_1 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Overall Accuracy am_lee_1: 49.83% Standard Deviation: 1.57 Overall Accuracy (normalised for class sizes) am_lee_1: 49.83% Standard Deviation: 1.57 Raw Confusion Matrix: Truth A B C D E Classification A 30 20 4 21 16 B 23 44 12 28 4 C 11 22 101 9 1 D 9 22 3 30 5 E 47 12 0 32 94 Confusion Matrix percentage: Truth A B C D E Classification A 25.00% 16.67% 3.33% 17.50% 13.33% B 19.17% 36.67% 10.00% 23.33% 3.33% C 9.17% 18.33% 84.17% 7.50% 0.83% D 7.50% 18.33% 2.50% 25.00% 4.17% E 39.17% 10.00% 0.00% 26.67% 78.33% Matrix Key: A : 1 B : 2 C : 3 D : 4 E : 5 --------------------------------------------------------------------------------