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

---Validation results---
Cases of trained classes 20  Other 0  Total 20
Confusion Table:
   Belongs\Assigned        0       1       2       3       4       5       6       7       8
                   0       2       0       1       0       0       0       0       0       0
                   1       0       2       0       0       0       0       0       0       0
                   2       1       0       0       0       0       0       0       0       0
                   3       0       0       0       2       0       0       0       0       0
                   4       0       0       0       1       2       0       0       0       0
                   5       0       0       0       0       1       1       0       0       0
                   6       0       1       0       0       0       0       1       0       0
                   7       0       0       0       0       0       0       0       2       0
                   8       0       0       0       0       1       0       0       0       2
Total errors: 6 out of 20, 30%
Test set loglikelihood -21.6418 Average -1.08209

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	1	16
Precision = 66.6667
Recall  = 66.6667
F1 = 66.6667
ROC area under curve 100

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	0	17
Precision = 66.6667
Recall  = 100
F1 = 80
ROC area under curve 97.2222

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	1
	Not Retrieved	1	18
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 73.6842

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	0	17
Precision = 66.6667
Recall  = 100
F1 = 80
ROC area under curve 94.4444

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	2
	Not Retrieved	1	15
Precision = 50
Recall  = 66.6667
F1 = 57.1429
ROC area under curve 96.0784

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	1	18
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 63.8889

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	1	18
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 52.7778

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	0	18
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	1	17
Precision = 100
Recall  = 66.6667
F1 = 80
ROC area under curve 94.1176
Time 0
