
Bayesian Multinomial Logistic Regression - Classification 	Ver. 2.02
Command line:  ../BMRclassify Compass.300+.bmr Compass.model
Log Level: 0
Data file for Testing: Compass.300+.bmr
Read Model file: Compass.model

---Validation results---
Cases of trained classes 69  Other 0  Total 69
Confusion Table:
   Belongs\Assigned        0       1       2       3       4       5       6       7       8       9      10      11      12      13      14      15
                   0       7       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
                   1       4       1       0       0       0       0       1       0       0       3       0       0       0       0       0       0
                   2       1       0       2       0       0       1       0       0       0       2       0       0       0       0       0       0
                   3       1       2       0       0       1       0       0       0       0       3       0       0       0       0       0       0
                   4       3       1       1       0       0       0       0       2       0       0       0       0       0       0       0       0
                   5       2       0       0       0       0       2       3       1       0       0       0       1       0       0       0       0
                   6       0       0       0       0       0       0       8       0       0       0       0       0       0       0       0       0
                   7       1       0       0       0       0       0       0       5       0       3       0       0       0       0       0       0
                   8       0       0       0       0       0       0       0       0       1       0       0       0       0       0       0       0
                   9       0       1       0       0       0       0       0       1       0       1       0       0       0       0       0       0
                  10       1       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
                  11       0       0       0       0       1       0       0       0       0       0       0       0       0       0       0       0
                  12       1       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
                  13       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
                  14       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
                  15       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0       0
Total errors: 42 out of 69, 60.8696%
Test set loglikelihood -128.373 Average -1.86048

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	14
	Not Retrieved	0	48
Precision = 33.3333
Recall  = 100
F1 = 50
ROC area under curve 95.6221

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	4
	Not Retrieved	8	56
Precision = 20
Recall  = 11.1111
F1 = 14.2857
ROC area under curve 75

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	4	62
Precision = 66.6667
Recall  = 33.3333
F1 = 44.4444
ROC area under curve 77.5132

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	7	62
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 95.6221

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	2
	Not Retrieved	7	60
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 76.7281

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	7	59
Precision = 66.6667
Recall  = 22.2222
F1 = 33.3333
ROC area under curve 87.2222

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	8	4
	Not Retrieved	0	57
Precision = 66.6667
Recall  = 100
F1 = 80
ROC area under curve 96.5164

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	4
	Not Retrieved	4	56
Precision = 55.5556
Recall  = 55.5556
F1 = 55.5556
ROC area under curve 92.963

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	68
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	11
	Not Retrieved	2	55
Precision = 8.33333
Recall  = 33.3333
F1 = 13.3333
ROC area under curve 74.7475

One-vs-All view: Class 10
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	68
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 91.1765

One-vs-All view: Class 11
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	1
	Not Retrieved	1	67
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 26.4706

One-vs-All view: Class 12
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	68
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 100

One-vs-All view: Class 13
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	0	69
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 0

One-vs-All view: Class 14
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	0	69
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 0

One-vs-All view: Class 15
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	0	69
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 0
Time 0
