
Bayesian Multinomial Logistic Regression - Classification 	Ver. 2.02
Command line:  ../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 73  Other 8  Total 81
Confusion Table:
   Belongs\Assigned        0       1       2       3       4       5       6       7       8       9      10      11
                   0       5       0       0       2       0       0       0       0       0       0       0       0
                   1       2      15       0       0       0       0       0       0       0       0       0       0
                   2       1       0       1       0       0       1       1       1       1       0       0       0
                   3       1       0       0       6       0       0       1       0       2       0       0       0
                   4       1       0       0       0       5       0       0       0       1       0       0       0
                   5       1       0       0       0       1       0       0       0       4       0       0       0
                   6       1       0       0       0       1       0       1       1       1       0       0       0
                   7       0       0       0       0       0       0       0       4       0       0       0       0
                   8       1       0       0       0       0       0       0       1       3       0       0       0
                   9       0       0       0       0       0       0       1       1       0       0       0       0
                  10       1       0       0       1       0       0       0       0       0       0       0       0
                  11       0       0       0       0       0       0       0       0       2       0       0       0
Total errors: 33 out of 73, 45.2055%
Test set loglikelihood -168.969 Average -2.31464

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	9
	Not Retrieved	2	57
Precision = 35.7143
Recall  = 71.4286
F1 = 47.619
ROC area under curve 79.1506

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	15	0
	Not Retrieved	2	56
Precision = 100
Recall  = 88.2353
F1 = 93.75
ROC area under curve 95.2206

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	5	67
Precision = 100
Recall  = 16.6667
F1 = 28.5714
ROC area under curve 83.1111

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	3
	Not Retrieved	4	60
Precision = 66.6667
Recall  = 60
F1 = 63.1579
ROC area under curve 92.5352

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	2
	Not Retrieved	2	64
Precision = 71.4286
Recall  = 71.4286
F1 = 71.4286
ROC area under curve 72.973

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	1
	Not Retrieved	6	66
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 80

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	3
	Not Retrieved	4	65
Precision = 25
Recall  = 20
F1 = 22.2222
ROC area under curve 73.6842

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	4	4
	Not Retrieved	0	65
Precision = 50
Recall  = 100
F1 = 66.6667
ROC area under curve 94.1558

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	3	11
	Not Retrieved	2	57
Precision = 21.4286
Recall  = 60
F1 = 31.5789
ROC area under curve 75.2632

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	2	71
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 96.2025

One-vs-All view: Class 10
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	2	71
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 75.9494

One-vs-All view: Class 11
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	2	71
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 55.6962
Time 1
