File: classification-classifier1.py

package info (click to toggle)
orange3 3.40.0-1
  • links: PTS, VCS
  • area: main
  • in suites: sid
  • size: 15,908 kB
  • sloc: python: 162,745; ansic: 622; makefile: 322; sh: 93; cpp: 77
file content (9 lines) | stat: -rw-r--r-- 302 bytes parent folder | download | duplicates (2) 
1
2
3
4
5
6
7
8
9
 
import Orange

data = Orange.data.Table("voting")
learner = Orange.classification.LogisticRegressionLearner()
classifier = learner(data)
c_values = data.domain.class_var.values
for d in data[5:8]:
    c = classifier(d)
    print("{}, originally {}".format(c_values[int(classifier(d))], d.get_class()))