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-rw-r--r--examples/src/main/python/ml/multilayer_perceptron_classification.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/src/main/python/ml/multilayer_perceptron_classification.py b/examples/src/main/python/ml/multilayer_perceptron_classification.py
index 8bededc14d..aa33bef5a3 100644
--- a/examples/src/main/python/ml/multilayer_perceptron_classification.py
+++ b/examples/src/main/python/ml/multilayer_perceptron_classification.py
@@ -43,11 +43,11 @@ if __name__ == "__main__":
trainer = MultilayerPerceptronClassifier(maxIter=100, layers=layers, blockSize=128, seed=1234)
# train the model
model = trainer.fit(train)
- # compute precision on the test set
+ # compute accuracy on the test set
result = model.transform(test)
predictionAndLabels = result.select("prediction", "label")
- evaluator = MulticlassClassificationEvaluator(metricName="precision")
- print("Precision:" + str(evaluator.evaluate(predictionAndLabels)))
+ evaluator = MulticlassClassificationEvaluator(metricName="accuracy")
+ print("Accuracy: " + str(evaluator.evaluate(predictionAndLabels)))
# $example off$
spark.stop()