5.
PerformanceVector:
accuracy: 100.00%
precision: 100.00%
sensitivity: 100.00%
specifity: 100.00%
positive_predictive_value: 100.00%
ConfusionMatrix:
True:	nie	tak
nie:	5	0
tak:	0	9

6.
wczytano

7.

PerformanceVector
PerformanceVector:
accuracy: 64.29%
precision: 75.00%
sensitivity: 66.67%
specificity: 60.00%
positive_predictive_value: 75.00%
(positive class: tak)
ConfusionMatrix:
True:	nie	tak
nie:	3	3
tak:	2	6

8.

PerformanceVector:
accuracy: 75.00%
ConfusionMatrix:
True:	nie	tak
nie:	0	0
tak:	2	6
precision: 75.00% (positive class: tak)
ConfusionMatrix:
True:	nie	tak
nie:	0	0
tak:	2	6
recall: 100.00% (positive class: tak)
ConfusionMatrix:
True:	nie	tak
nie:	0	0
tak:	2	6
AUC (optimistic): 1.000 (positive class: tak)
AUC: 0.500 (positive class: tak)
AUC (pessimistic): 0.000 (positive class: tak)