from pyspark.ml.evaluation import BinaryClassificationEvaluator


evaluator = BinaryClassificationEvaluator(
    labelCol="indexLabel", rawPredictionCol="features")

result_glm = evaluator.evaluate(prediction_glm)
result_gbm = evaluator.evaluate(prediction_gbm)
result_rf  = evaluator.evaluate(prediction_rf)

print ("GLM: %g nGBM: %g nRF: %g n" %
       (result_glm, result_gbm, result_rf))

GLM: 0.396855
GBM: 0.396855
RF: 0.396855