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import Orange
import random
random.seed(42)
data = Orange.data.Table("housing")
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])
lin = Orange.regression.linear.LinearRegressionLearner()
rf = Orange.regression.random_forest.RandomForestRegressionLearner()
rf.name = "rf"
ridge = Orange.regression.RidgeRegressionLearner()
learners = [lin, rf, ridge]
regressors = [learner(train) for learner in learners]
print("y ", " ".join("%5s" % l.name for l in regressors))
for d in test:
print(
("{:<5}" + " {:5.1f}" * len(regressors)).format(
d.get_class(), *(r(d) for r in regressors)
)
)
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