
Bayesian Multinomial Logistic Regression - Training 	Ver. 2.02
Command line:  ../BMRtrain Compass.300+.bmr Compass.model
Log Level: 0
PriorType: normal diagonal	Var= auto-select
HyperParameter: Norm-based default
Cosine normalization: No
Model - link function: Logistic 	Optimizer: ZO
Standardize: No
Convergence threshold: 0.001	Iterations limit: 10000
Data file for Training: Compass.300+.bmr
Write Model file: Compass.model
Cases in training data: 69
Features in training data: 41
Classes in training data: 13
Design: 42 variables
Total parameters: 546	 Of them fixed: 0
Average square norm (no const term) 311.416 Hyperparameter 0.00321114
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Built ZO model 112 iterations, Time 4
Total steps 61152, skipped 0, slept 0
Beta components dropped finally: 0 Left: 546

---Resubstitution results---
Confusion Table:
Training set loglikelihood -60.5795616058 Average -0.877964660954
Log prior (penalty) 1038.39 Log posterior 977.807

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	0
	Not Retrieved	0	62
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 99.0783

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	8	2
	Not Retrieved	1	58
Precision = 80
Recall  = 88.8889
F1 = 84.2105
ROC area under curve 88.4746

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	3	0
	Not Retrieved	3	63
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 95.9596

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	1
	Not Retrieved	0	61
Precision = 87.5
Recall  = 100
F1 = 93.3333
ROC area under curve 100

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	1
	Not Retrieved	2	61
Precision = 83.3333
Recall  = 71.4286
F1 = 76.9231
ROC area under curve 89.1534

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	9	2
	Not Retrieved	0	58
Precision = 81.8182
Recall  = 100
F1 = 90
ROC area under curve 98.1191

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	8	2
	Not Retrieved	0	59
Precision = 80
Recall  = 100
F1 = 88.8889
ROC area under curve 97.9661

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	8	1
	Not Retrieved	1	59
Precision = 88.8889
Recall  = 88.8889
F1 = 88.8889
ROC area under curve 94.8148

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

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	1	66
Precision = 100
Recall  = 66.6667
F1 = 80
ROC area under curve 95.5224

One-vs-All view: Class 10
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 11
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 12
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	68
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100
Time 4
