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Model name: am_tzan
Number of iterations = 3
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Iteration 1
Accuracy: 70.00%
Accuracy (normalised for class sizes): 70.00%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     19	      4	      1	      7	      2	
    B  		      3	     29	      4	     12	      0	
    C  		      0	      2	     35	      0	      0	
    D  		      5	      5	      0	     21	      2	
    E  		     13	      0	      0	      0	     36	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 47.50%	 10.00%	  2.50%	 17.50%	  5.00%	
    B  		  7.50%	 72.50%	 10.00%	 30.00%	  0.00%	
    C  		  0.00%	  5.00%	 87.50%	  0.00%	  0.00%	
    D  		 12.50%	 12.50%	  0.00%	 52.50%	  5.00%	
    E  		 32.50%	  0.00%	  0.00%	  0.00%	 90.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 2
Accuracy: 56.50%
Accuracy (normalised for class sizes): 56.50%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     17	      7	      2	      4	      8	
    B  		      4	     19	      3	     12	      0	
    C  		      4	      7	     34	      6	      3	
    D  		      2	      7	      0	     16	      2	
    E  		     13	      0	      1	      2	     27	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 42.50%	 17.50%	  5.00%	 10.00%	 20.00%	
    B  		 10.00%	 47.50%	  7.50%	 30.00%	  0.00%	
    C  		 10.00%	 17.50%	 85.00%	 15.00%	  7.50%	
    D  		  5.00%	 17.50%	  0.00%	 40.00%	  5.00%	
    E  		 32.50%	  0.00%	  2.50%	  5.00%	 67.50%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 3
Accuracy: 58.00%
Accuracy (normalised for class sizes): 58.00%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     15	      7	      3	      1	      4	
    B  		      5	     16	      6	      7	      1	
    C  		      4	      3	     27	      2	      1	
    D  		      7	     13	      3	     25	      1	
    E  		      9	      1	      1	      5	     33	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 37.50%	 17.50%	  7.50%	  2.50%	 10.00%	
    B  		 12.50%	 40.00%	 15.00%	 17.50%	  2.50%	
    C  		 10.00%	  7.50%	 67.50%	  5.00%	  2.50%	
    D  		 17.50%	 32.50%	  7.50%	 62.50%	  2.50%	
    E  		 22.50%	  2.50%	  2.50%	 12.50%	 82.50%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Overall Evaluation for am_tzan
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Overall Accuracy am_tzan: 61.50% Standard Deviation: 3.49
Overall Accuracy (normalised for class sizes) am_tzan: 61.50% Standard Deviation: 3.49
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     51	     18	      6	     12	     14	
    B  		     12	     64	     13	     31	      1	
    C  		      8	     12	     96	      8	      4	
    D  		     14	     25	      3	     62	      5	
    E  		     35	      1	      2	      7	     96	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 42.50%	 15.00%	  5.00%	 10.00%	 11.67%	
    B  		 10.00%	 53.33%	 10.83%	 25.83%	  0.83%	
    C  		  6.67%	 10.00%	 80.00%	  6.67%	  3.33%	
    D  		 11.67%	 20.83%	  2.50%	 51.67%	  4.17%	
    E  		 29.17%	  0.83%	  1.67%	  5.83%	 80.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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