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Model name: am_lee_2
Number of iterations = 3
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Iteration 1
Accuracy: 21.50%
Accuracy (normalised for class sizes): 21.50%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		      1	      1	      2	      7	      2	
    B  		      3	      5	      3	      9	      6	
    C  		      7	     12	     15	      9	      5	
    D  		     20	     11	     12	     13	     18	
    E  		      9	     11	      8	      2	      9	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		  2.50%	  2.50%	  5.00%	 17.50%	  5.00%	
    B  		  7.50%	 12.50%	  7.50%	 22.50%	 15.00%	
    C  		 17.50%	 30.00%	 37.50%	 22.50%	 12.50%	
    D  		 50.00%	 27.50%	 30.00%	 32.50%	 45.00%	
    E  		 22.50%	 27.50%	 20.00%	  5.00%	 22.50%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 2
Accuracy: 26.00%
Accuracy (normalised for class sizes): 26.00%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		      8	      6	      2	      6	      9	
    B  		     12	     11	     14	     10	      9	
    C  		      3	      3	     13	      5	      5	
    D  		      7	      7	      6	      9	      6	
    E  		     10	     13	      5	     10	     11	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 20.00%	 15.00%	  5.00%	 15.00%	 22.50%	
    B  		 30.00%	 27.50%	 35.00%	 25.00%	 22.50%	
    C  		  7.50%	  7.50%	 32.50%	 12.50%	 12.50%	
    D  		 17.50%	 17.50%	 15.00%	 22.50%	 15.00%	
    E  		 25.00%	 32.50%	 12.50%	 25.00%	 27.50%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Iteration 3
Accuracy: 29.50%
Accuracy (normalised for class sizes): 29.50%
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		      9	      4	      8	     10	      9	
    B  		     11	     14	      6	     13	     11	
    C  		      5	      1	     12	      1	      3	
    D  		      6	     16	      5	     10	      3	
    E  		      9	      5	      9	      6	     14	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 22.50%	 10.00%	 20.00%	 25.00%	 22.50%	
    B  		 27.50%	 35.00%	 15.00%	 32.50%	 27.50%	
    C  		 12.50%	  2.50%	 30.00%	  2.50%	  7.50%	
    D  		 15.00%	 40.00%	 12.50%	 25.00%	  7.50%	
    E  		 22.50%	 12.50%	 22.50%	 15.00%	 35.00%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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Overall Evaluation for am_lee_2
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Overall Accuracy am_lee_2: 25.67% Standard Deviation: 1.89
Overall Accuracy (normalised for class sizes) am_lee_2: 25.67% Standard Deviation: 1.89
Raw Confusion Matrix:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		     18	     11	     12	     23	     20	
    B  		     26	     30	     23	     32	     26	
    C  		     15	     16	     40	     15	     13	
    D  		     33	     34	     23	     32	     27	
    E  		     28	     29	     22	     18	     34	

Confusion Matrix percentage:
Truth		    A  	    B  	    C  	    D  	    E  	
Classification
    A  		 15.00%	  9.17%	 10.00%	 19.17%	 16.67%	
    B  		 21.67%	 25.00%	 19.17%	 26.67%	 21.67%	
    C  		 12.50%	 13.33%	 33.33%	 12.50%	 10.83%	
    D  		 27.50%	 28.33%	 19.17%	 26.67%	 22.50%	
    E  		 23.33%	 24.17%	 18.33%	 15.00%	 28.33%	
Matrix Key:
       A  : 1
       B  : 2
       C  : 3
       D  : 4
       E  : 5
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