
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: 90
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) 663.079 Hyperparameter 0.00150812
Starting PolyZO model, - Time 00 0 1 0 331.54
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Built ZO model 131 iterations, Time 16
Total steps 90128, skipped 0, slept 0
Beta components dropped finally: 0 Left: 688

---Resubstitution results---
Confusion Table:
Training set loglikelihood -107.458884002 Average -1.19398760002
Log prior (penalty) 1569 Log posterior 1461.54

One-vs-All view: Class 0
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	0
	Not Retrieved	2	81
Precision = 100
Recall  = 77.7778
F1 = 87.5
ROC area under curve 86.5749

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	12
	Not Retrieved	0	61
Precision = 58.6207
Recall  = 100
F1 = 73.913
ROC area under curve 95.3081

One-vs-All view: Class 3
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	2	0
	Not Retrieved	4	84
Precision = 100
Recall  = 33.3333
F1 = 50
ROC area under curve 85.7955

One-vs-All view: Class 4
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	11	4
	Not Retrieved	0	75
Precision = 73.3333
Recall  = 100
F1 = 84.6154
ROC area under curve 92.2667

One-vs-All view: Class 5
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	7	2
	Not Retrieved	2	79
Precision = 77.7778
Recall  = 77.7778
F1 = 77.7778
ROC area under curve 88.3402

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 89.8256

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    	0	0
	Not Retrieved	1	89
Precision = 100
Recall  = 0
F1 = 0
ROC area under curve 0

One-vs-All view: Class 9
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	4	1
	Not Retrieved	3	82
Precision = 80
Recall  = 57.1429
F1 = 66.6667
ROC area under curve 94.8235

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 98.8764

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    	6	2
	Not Retrieved	0	82
Precision = 75
Recall  = 100
F1 = 85.7143
ROC area under curve 97.7134

One-vs-All view: Class 14
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	1	0
	Not Retrieved	1	88
Precision = 100
Recall  = 50
F1 = 66.6667
ROC area under curve 97.7528

One-vs-All view: Class 15
Confusion matrix:   Relevant	Not Relevant
	Retrieved    	6	1
	Not Retrieved	2	81
Precision = 85.7143
Recall  = 75
F1 = 80
ROC area under curve 92.9432
Time 17
