
Bayesian Multinomial Logistic Regression - Classification 	Ver. 2.02
Command line:  ../BMRclassify Compass.500+.testing.bmr Compass.model
Log Level: 0
Data file for Testing: Compass.500+.testing.bmr
Read Model file: Compass.model

---Validation results---
Cases of trained classes 14  Other 7  Total 21
Confusion Table:
   Belongs\Assigned        0       1       2       3       4       5       6       7       8
                   0       1       0       0       0       0       0       0       0       0
                   1       0       4       0       0       0       0       0       0       0
                   2       0       0       0       0       0       1       0       0       1
                   3       1       0       0       0       0       0       0       0       1
                   4       0       0       0       0       1       0       0       0       0
                   5       0       0       0       0       0       0       0       0       1
                   6       0       0       0       0       0       0       1       0       0
                   7       0       0       0       0       0       0       0       1       0
                   8       0       0       0       0       0       0       0       0       1
Total errors: 5 out of 14, 35.7143%
Test set loglikelihood -21.5093 Average -1.53638

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	1
	Not Retrieved	0	12
Precision = 50
Recall  = 100
F1 = 66.6667
ROC area under curve 85

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	4	0
	Not Retrieved	0	10
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 98.5294

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	2	12
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 81.5789

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	2	12
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 76.3158

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	13
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	1
	Not Retrieved	1	12
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 100

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	13
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	13
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 90

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	3
	Not Retrieved	0	10
Precision = 25
Recall  = 100
F1 = 40
ROC area under curve 90
Time 0
