================================================================================ Model name: KW spectral irregularity and rhythm linear transform distribution tree classifier Number of iterations = 1 -------------------------------------------------------------------------------- Iteration 1 Accuracy: 68.43% Accuracy (normalised for class sizes): 63.87% Hierarchical Accuracy: 71.67% Raw Confusion Matrix: Truth A B C D E F G H I J Classification A 18 0 0 3 4 0 0 2 0 2 B 0 30 0 0 0 0 0 1 0 0 C 2 0 76 0 2 1 0 4 0 1 D 4 0 0 47 7 3 2 6 0 11 E 1 0 3 6 57 5 2 7 0 2 F 0 0 0 0 0 7 0 0 0 0 G 1 0 0 0 3 0 11 1 0 1 H 6 0 0 2 2 1 0 10 0 3 I 0 0 0 0 0 1 0 0 32 3 J 2 4 0 24 8 6 7 3 2 61 Confusion Matrix percentage: Truth A B C D E F G H I J Classification A 52.94% 0.00% 0.00% 3.66% 4.82% 0.00% 0.00% 5.88% 0.00% 2.38% B 0.00% 88.24% 0.00% 0.00% 0.00% 0.00% 0.00% 2.94% 0.00% 0.00% C 5.88% 0.00% 96.20% 0.00% 2.41% 4.17% 0.00% 11.76% 0.00% 1.19% D 11.76% 0.00% 0.00% 57.32% 8.43% 12.50% 9.09% 17.65% 0.00% 13.10% E 2.94% 0.00% 3.80% 7.32% 68.67% 20.83% 9.09% 20.59% 0.00% 2.38% F 0.00% 0.00% 0.00% 0.00% 0.00% 29.17% 0.00% 0.00% 0.00% 0.00% G 2.94% 0.00% 0.00% 0.00% 3.61% 0.00% 50.00% 2.94% 0.00% 1.19% H 17.65% 0.00% 0.00% 2.44% 2.41% 4.17% 0.00% 29.41% 0.00% 3.57% I 0.00% 0.00% 0.00% 0.00% 0.00% 4.17% 0.00% 0.00% 94.12% 3.57% J 5.88% 11.76% 0.00% 29.27% 9.64% 25.00% 31.82% 8.82% 5.88% 72.62% Matrix Key: A : ambient B : blues C : classical D : electronic E : ethnic F : folk G : jazz H : new_age I : punk J : rock -------------------------------------------------------------------------------- ================================================================================ Overall Evaluation for KW spectral irregularity and rhythm linear transform distribution tree classifier -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Overall Accuracy KW spectral irregularity and rhythm linear transform distribution tree classifier: 68.43% Standard Deviation: 0.00 Overall Accuracy (normalised for class sizes) KW spectral irregularity and rhythm linear transform distribution tree classifier: 63.87% Standard Deviation: 0.00 Hierarchical Accuracy: 71.67% Raw Confusion Matrix: Truth A B C D E F G H I J Classification A 18 0 0 3 4 0 0 2 0 2 B 0 30 0 0 0 0 0 1 0 0 C 2 0 76 0 2 1 0 4 0 1 D 4 0 0 47 7 3 2 6 0 11 E 1 0 3 6 57 5 2 7 0 2 F 0 0 0 0 0 7 0 0 0 0 G 1 0 0 0 3 0 11 1 0 1 H 6 0 0 2 2 1 0 10 0 3 I 0 0 0 0 0 1 0 0 32 3 J 2 4 0 24 8 6 7 3 2 61 Confusion Matrix percentage: Truth A B C D E F G H I J Classification A 52.94% 0.00% 0.00% 3.66% 4.82% 0.00% 0.00% 5.88% 0.00% 2.38% B 0.00% 88.24% 0.00% 0.00% 0.00% 0.00% 0.00% 2.94% 0.00% 0.00% C 5.88% 0.00% 96.20% 0.00% 2.41% 4.17% 0.00% 11.76% 0.00% 1.19% D 11.76% 0.00% 0.00% 57.32% 8.43% 12.50% 9.09% 17.65% 0.00% 13.10% E 2.94% 0.00% 3.80% 7.32% 68.67% 20.83% 9.09% 20.59% 0.00% 2.38% F 0.00% 0.00% 0.00% 0.00% 0.00% 29.17% 0.00% 0.00% 0.00% 0.00% G 2.94% 0.00% 0.00% 0.00% 3.61% 0.00% 50.00% 2.94% 0.00% 1.19% H 17.65% 0.00% 0.00% 2.44% 2.41% 4.17% 0.00% 29.41% 0.00% 3.57% I 0.00% 0.00% 0.00% 0.00% 0.00% 4.17% 0.00% 0.00% 94.12% 3.57% J 5.88% 11.76% 0.00% 29.27% 9.64% 25.00% 31.82% 8.82% 5.88% 72.62% Matrix Key: A : ambient B : blues C : classical D : electronic E : ethnic F : folk G : jazz H : new_age I : punk J : rock --------------------------------------------------------------------------------