
Bayesian Multinomial Logistic Regression - Training 	Ver. 2.02
Command line:  ../BMRtrain Compass.300+.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.300+.training.bmr
Write Model file: Compass.model
Cases in training data: 45
Features in training data: 40
Classes in training data: 9
Design: 41 variables
Total parameters: 369	 Of them fixed: 0
Average square norm (no const term) 313.754 Hyperparameter 0.00318721
Starting PolyZO model, - Time 00 0 1 0 156.877
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Built ZO model 105 iterations, Time 2
Total steps 38745, skipped 0, slept 0
Beta components dropped finally: 0 Left: 369

---Resubstitution results---
Confusion Table:
Training set loglikelihood -38.2874143405 Average -0.850831429789
Log prior (penalty) 704.73 Log posterior 666.442

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	38
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 98.4962

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	0
	Not Retrieved	0	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 97.4359

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 100

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	0
	Not Retrieved	0	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 99.1453

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	4	0
	Not Retrieved	0	41
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 99.3902

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	0	40
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 89

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 99

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	0
	Not Retrieved	1	39
Precision = 100
Recall  = 83.3333
F1 = 90.9091
ROC area under curve 95
Time 2
