
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: 40
Features in training data: 42
Classes in training data: 16
Design: 43 variables
Total parameters: 688	 Of them fixed: 0
Average square norm (no const term) 1422.32 Hyperparameter 0.000703077
Starting PolyZO model, - Time 00 0 1 0 711.16
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Built ZO model 66 iterations, Time 3
Total steps 45408, skipped 0, slept 0
Beta components dropped finally: 0 Left: 688

---Resubstitution results---
Confusion Table:
Training set loglikelihood -44.3701994821 Average -1.10925498705
Log prior (penalty) 1848.79 Log posterior 1804.42

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	3	37
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

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

One-vs-All view: Class 2
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	11	9
	Not Retrieved	0	20
Precision = 55
Recall  = 100
F1 = 70.9677
ROC area under curve 85.5

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	1	37
Precision = 100
Recall  = 66.6667
F1 = 80
ROC area under curve 93.4211

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	0	33
Precision = 85.7143
Recall  = 100
F1 = 92.3077
ROC area under curve 93.9394

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	3	1
	Not Retrieved	0	36
Precision = 75
Recall  = 100
F1 = 85.7143
ROC area under curve 100

One-vs-All view: Class 6
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	3	0
	Not Retrieved	0	37
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 98.1982

One-vs-All view: Class 7
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	39
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	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	1	38
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 100

One-vs-All view: Class 10
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	39
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 11
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	39
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 12
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	39
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 13
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 100

One-vs-All view: Class 14
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	0	39
Precision = 100
Recall  = 100
F1 = 100
ROC area under curve 94.8718

One-vs-All view: Class 15
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	0	0
	Not Retrieved	1	39
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0
Time 3
