def confusion_matrix(self, data):
        """
        Returns a confusion matrix based of H2O's default prediction threshold for a dataset.

        :param H2OFrame data: the frame with the prediction results for which the confusion matrix should be extracted.
        """
        assert_is_type(data, H2OFrame)
        j = h2o.api("POST /3/Predictions/models/%s/frames/%s" % (self._id, data.frame_id))
        return j["model_metrics"][0]["cm"]["table"]
def confusion_matrix(self, data):
        """
        Returns a confusion matrix based of H2O's default prediction threshold for a dataset.

        :param H2OFrame data: the frame with the prediction results for which the confusion matrix should be extracted.
        """
        assert_is_type(data, H2OFrame)
        j = h2o.api("POST /3/Predictions/models/%s/frames/%s" % (self._id, data.frame_id))
        return j["model_metrics"][0]["cm"]["table"]
def confusion_matrix ( self , data ) : assert_is_type ( data , H2OFrame ) j = h2o . api ( "POST /3/Predictions/models/%s/frames/%s" % ( self . _id , data . frame_id ) ) return j [ "model_metrics" ] [ 0 ] [ "cm" ] [ "table" ]
Returns a confusion matrix based of H2O's default prediction threshold for a dataset.

        :param H2OFrame data: the frame with the prediction results for which the confusion matrix should be extracted.
Returns a confusion matrix based of H2O s default prediction threshold for a dataset .