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Model name: am_imirsel_knn
Number of iterations = 3
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Iteration 1
Accuracy: 51.00%
Accuracy (normalised for class sizes): 51.00%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     23	     20	      5	     14	      6	
    B  		      3	     12	      3	     11	      0	
    C  		      0	      4	     31	      3	      0	
    D  		      1	      1	      1	      2	      0	
    E  		     13	      3	      0	     10	     34	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 57.50%	 50.00%	 12.50%	 35.00%	 15.00%	
    B  		  7.50%	 30.00%	  7.50%	 27.50%	  0.00%	
    C  		  0.00%	 10.00%	 77.50%	  7.50%	  0.00%	
    D  		  2.50%	  2.50%	  2.50%	  5.00%	  0.00%	
    E  		 32.50%	  7.50%	  0.00%	 25.00%	 85.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 2
Accuracy: 45.00%
Accuracy (normalised for class sizes): 45.00%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     13	      9	      4	     11	      6	
    B  		      3	      8	      4	     10	      0	
    C  		      4	     19	     32	      6	      3	
    D  		      2	      4	      0	      7	      1	
    E  		     18	      0	      0	      6	     30	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 32.50%	 22.50%	 10.00%	 27.50%	 15.00%	
    B  		  7.50%	 20.00%	 10.00%	 25.00%	  0.00%	
    C  		 10.00%	 47.50%	 80.00%	 15.00%	  7.50%	
    D  		  5.00%	 10.00%	  0.00%	 17.50%	  2.50%	
    E  		 45.00%	  0.00%	  0.00%	 15.00%	 75.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 3
Accuracy: 45.50%
Accuracy (normalised for class sizes): 45.50%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     18	     17	      6	      9	      3	
    B  		      5	      6	     12	      7	      3	
    C  		      5	      6	     21	      4	      0	
    D  		      4	      7	      1	     14	      2	
    E  		      8	      4	      0	      6	     32	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 45.00%	 42.50%	 15.00%	 22.50%	  7.50%	
    B  		 12.50%	 15.00%	 30.00%	 17.50%	  7.50%	
    C  		 12.50%	 15.00%	 52.50%	 10.00%	  0.00%	
    D  		 10.00%	 17.50%	  2.50%	 35.00%	  5.00%	
    E  		 20.00%	 10.00%	  0.00%	 15.00%	 80.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Overall Evaluation for am_imirsel_knn
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Overall Accuracy am_imirsel_knn: 47.17% Standard Deviation: 1.57
Overall Accuracy (normalised for class sizes) am_imirsel_knn: 47.17% Standard Deviation: 1.57
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     54	     46	     15	     34	     15	
    B  		     11	     26	     19	     28	      3	
    C  		      9	     29	     84	     13	      3	
    D  		      7	     12	      2	     23	      3	
    E  		     39	      7	      0	     22	     96	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 45.00%	 38.33%	 12.50%	 28.33%	 12.50%	
    B  		  9.17%	 21.67%	 15.83%	 23.33%	  2.50%	
    C  		  7.50%	 24.17%	 70.00%	 10.83%	  2.50%	
    D  		  5.83%	 10.00%	  1.67%	 19.17%	  2.50%	
    E  		 32.50%	  5.83%	  0.00%	 18.33%	 80.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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