BinaryClassifierEvaluator

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1. final def !=(arg0: AnyRef): Boolean

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6. def apply(predictions: RDD[Boolean], actuals: RDD[Boolean]): BinaryClassificationMetrics

   Calculates the contingency table and binary classification metrics for a binary classifier given predictions and truth labels

   Calculates the contingency table and binary classification metrics for a binary classifier given predictions and truth labels

   Similar to MLlib's org.apache.spark.mllib.evaluation.BinaryClassificationMetrics, but runs in one pass, but only contains metrics that can be calculated from the contingency table

   predictions

   An RDD[Boolean] containing the predictions

   actuals

   An RDD[Boolean] containing the true labels, must be zippable with predictions

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