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import Orange
import random
random.seed(42)
data = Orange.data.Table("voting")
test = Orange.data.Table(data.domain, random.sample(data, 5))
train = Orange.data.Table(data.domain, [d for d in data if d not in test])
tree = Orange.classification.tree.TreeLearner(max_depth=3)
knn = Orange.classification.knn.KNNLearner(n_neighbors=3)
lr = Orange.classification.LogisticRegressionLearner(C=0.1)
learners = [tree, knn, lr]
classifiers = [learner(train) for learner in learners]
target = 0
print("Probabilities for %s:" % data.domain.class_var.values[target])
print("original class ", " ".join("%-5s" % l.name for l in classifiers))
c_values = data.domain.class_var.values
for d in test:
print(
("{:<15}" + " {:.3f}" * len(classifiers)).format(
c_values[int(d.get_class())], *(c(d, 1)[target] for c in classifiers)
)
)
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