Log Loss/Cross Entropy

I'm trying to understand how Rapidminer computes Cross Entropy.  I set up a basic process and asked RM to compute Cross Entropy. I'm attaching the process. But when I compute cross-entropy by hand (excel) or in other programs (R/Python), I get a different number from the one I'm getting in RM.

Cross Entropy =  - { y Ln ( p ) + (1-y) Ln(1-p) } 

RM Cross Entropy = 0.422

RM Excel/R/Python = 0.3135. 

Google sheet:

https://docs.google.com/spreadsheets/d/1o1r3VgsrJxe4R27SV23WmUy7JVGDFIEMAK3riU-TxV0/edit?usp=sharing

Am I missing something basic?

Thanks in advance for any help,

\E

<?xml version="1.0" encoding="UTF-8"?><process version="9.0.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.0.001" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.0.001" expanded="true" height="68" name="Retrieve Golf" width="90" x="179" y="136">
        <parameter key="repository_entry" value="//Samples/data/Golf"/>
      </operator>
      <operator activated="true" class="h2o:logistic_regression" compatibility="9.0.000" expanded="true" height="124" name="Logistic Regression" width="90" x="380" y="136"/>
      <operator activated="true" class="apply_model" compatibility="9.0.001" expanded="true" height="82" name="Apply Model" width="90" x="581" y="136">
        <list key="application_parameters"/>
      </operator>
      <operator activated="true" class="performance_classification" compatibility="9.0.001" expanded="true" height="82" name="Performance" width="90" x="715" y="34">
        <parameter key="cross-entropy" value="true"/>
        <list key="class_weights"/>
      </operator>
      <connect from_op="Retrieve Golf" from_port="output" to_op="Logistic Regression" to_port="training set"/>
      <connect from_op="Logistic Regression" from_port="model" to_op="Apply Model" to_port="model"/>
      <connect from_op="Logistic Regression" from_port="exampleSet" to_op="Apply Model" to_port="unlabelled data"/>
      <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
      <connect from_op="Performance" from_port="performance" to_port="result 1"/>
      <connect from_op="Performance" from_port="example set" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>