
Bayesian Multinomial Logistic Regression - Training 	Ver. 2.02
Command line:  ../BMRtrain Compass.training.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.training.bmr
Write Model file: Compass.model
Cases in training data: 49
Features in training data: 41
Classes in training data: 12
Design: 42 variables
Total parameters: 504	 Of them fixed: 0
Average square norm (no const term) 310.794 Hyperparameter 0.00321757
Starting PolyZO model, - Time 00 0 1 0 155.397
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Built ZO model 190 iterations, Time 4
Total steps 95760, skipped 0, slept 0
Beta components dropped finally: 0 Left: 504

---Resubstitution results---
Confusion Table:
Training set loglikelihood -42.5296270111 Average -0.867951571655
Log prior (penalty) 963.306 Log posterior 920.777

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	42
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 96.5986

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	42
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 98.9796

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	0	47
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 97.8723

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	0	44
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 98.1818

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	42
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 97.2789

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	2	45
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 100

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	3	43
Precision = 66.6667
Recall  = 40
F1 = 50
ROC area under curve 83.3333

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	0	44
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	1
	Not Retrieved	0	41
Precision = 87.5
Recall  = 100
F1 = 93.3333
ROC area under curve 92.9878

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	48
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 10
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	48
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	48
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100
Time 4
