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Created August 10, 2016 18:32
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Brief tutorial Iris classification with GraphLab
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gistfile1.txt
import graphlab as gl
iris = gl.SFrame.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data', header=False)
iris.rename({'X1': 'SepalLength', 'X2': 'SepalWidth', 'X3': 'PetalLength', 'X4': 'PetalWidth', 'X5': 'Species'})
train_data, test_data = iris.random_split(0.8)
model = gl.classifier.create(train_data, target='Species',
features = ['SepalLength',
'SepalWidth',
'PetalLength',
'PetalWidth'])
predictions = model.classify(test_data)
results = model.evaluate(test_data)
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