
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: 90
Features in training data: 41
Classes in training data: 16
Design: 42 variables
Total parameters: 672	 Of them fixed: 0
Average square norm (no const term) 753.583 Hyperparameter 0.00132699
Starting PolyZO model, - Time 00 0 1 0 376.791
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Built ZO model 121 iterations, Time 8
Total steps 81312, skipped 0, slept 0
Beta components dropped finally: 0 Left: 672

---Resubstitution results---
Confusion Table:
Training set loglikelihood -114.272186815 Average -1.26969096461
Log prior (penalty) 1575.88 Log posterior 1461.61

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	8	1
	Not Retrieved	1	80
Precision = 88.8889
Recall  = 88.8889
F1 = 88.8889
ROC area under curve 85.5967

One-vs-All view: Class 1
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	89
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	17	9
	Not Retrieved	0	64
Precision = 65.3846
Recall  = 100
F1 = 79.0698
ROC area under curve 89.7236

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	1
	Not Retrieved	6	83
Precision = 0
Recall  = 0
F1 = 0
ROC area under curve 83.1461

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	11	2
	Not Retrieved	0	77
Precision = 84.6154
Recall  = 100
F1 = 91.6667
ROC area under curve 96.004

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	3
	Not Retrieved	2	78
Precision = 70
Recall  = 77.7778
F1 = 73.6842
ROC area under curve 87.375

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	4	0
	Not Retrieved	3	83
Precision = 100
Recall  = 57.1429
F1 = 72.7273
ROC area under curve 91.2791

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	89
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 8
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	89
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	1
	Not Retrieved	5	82
Precision = 66.6667
Recall  = 28.5714
F1 = 40
ROC area under curve 74.3295

One-vs-All view: Class 10
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	1	88
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 100

One-vs-All view: Class 11
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	0	88
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 99.4318

One-vs-All view: Class 12
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	89
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 13
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	5	3
	Not Retrieved	1	81
Precision = 62.5
Recall  = 83.3333
F1 = 71.4286
ROC area under curve 98.3232

One-vs-All view: Class 14
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	0	88
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 98.2955

One-vs-All view: Class 15
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	4
	Not Retrieved	2	78
Precision = 60
Recall  = 75
F1 = 66.6667
ROC area under curve 86.125
Time 8
