ml-assignment-1.txt

confusion_matrix: [[65, 12], [6, 17]]
accuracy: 0.82
f_score: 0.8783783783783784
('>50K', [('>50K', -19.55627365283215), ('<=50K', -20.71689698193305)])
Attribute vectors of instances [0, 1, 2]:  [[68 '?' '1st-4th' 2 'Divorced' '?' 'Not-in-family' 'White' 'Female' 20
  'United-States']
 [39 'State-gov' 'Bachelors' 13 'Never-married' 'Adm-clerical'
  'Not-in-family' 'White' 'Male' 40 'United-States']
 [50 'Self-emp-not-inc' 'Bachelors' 13 'Married-civ-spouse'
  'Exec-managerial' 'Husband' 'White' 'Male' 13 'United-States']]

Number of instances (N):  1000
Number of attributes (F):  11
Number of labels (L):  2


Predicted class log-probabilities for instance N-3:  [('>50K', -19.55627365283215), ('<=50K', -20.71689698193305)]
Predicted class ID for instance N-3:  >50K

Predicted class log-probabilities for instance N-2:  [('>50K', -22.744589775643142), ('<=50K', -25.339070637730188)]
Predicted class ID for instance N-2:  >50K

Predicted class log-probabilities for instance N-1:  [('>50K', -16.716481989445867), ('<=50K', -16.85279495864574)]
Predicted class ID for instance N-1:  >50K