
Bayesian Multinomial Logistic Regression - Training 	Ver. 2.02
Command line:  /home/pjbonamy/testing/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: 45
Features in training data: 41
Classes in training data: 9
Design: 42 variables
Total parameters: 378	 Of them fixed: 0
Average square norm (no const term) 319.833 Hyperparameter 0.00312663
Starting PolyZO model, - Time 00 0 1 0 159.916
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Built ZO model 92 iterations, Time 1
Total steps 34776, skipped 0, slept 0
Beta components dropped finally: 0 Left: 378

---Resubstitution results---
Confusion Table:
Training set loglikelihood -37.7624872445 Average -0.839166383212
Log prior (penalty) 726.699 Log posterior 688.936

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	0
	Not Retrieved	0	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	3
	Not Retrieved	0	36
Precision = 66.6667
Recall  = 100
F1 = 80
ROC area under curve 98.1481

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	0	43
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 97.6744

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	0	40
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	38
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 97.7444

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	3	41
Precision = 100
Recall  = 25
F1 = 40
ROC area under curve 100

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	3	1
	Not Retrieved	2	39
Precision = 75
Recall  = 60
F1 = 66.6667
ROC area under curve 90.2439

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	0	40
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	1
	Not Retrieved	1	38
Precision = 83.3333
Recall  = 83.3333
F1 = 83.3333
ROC area under curve 94.0171
Time 1
