ROC-curve

Hello,

I want to compare ROC curves with the Golf data set. I've transformed its attributes to be binominal. When i get the chart of the comparison, there's no curve. Could someone please help.

<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
  <operator activated="true" class="retrieve" compatibility="8.1.000" expanded="true" height="68" name="Retrieve Golf" width="90" x="112" y="136">
    <parameter key="repository_entry" value="//Samples/data/Golf"/>
  </operator>
</process>
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
  <operator activated="true" class="nominal_to_binominal" compatibility="8.1.000" expanded="true" height="103" name="Nominal to Binominal" width="90" x="246" y="136">
    <parameter key="return_preprocessing_model" value="false"/>
    <parameter key="create_view" value="false"/>
    <parameter key="attribute_filter_type" value="all"/>
    <parameter key="attribute" value=""/>
    <parameter key="attributes" value=""/>
    <parameter key="use_except_expression" value="false"/>
    <parameter key="value_type" value="nominal"/>
    <parameter key="use_value_type_exception" value="false"/>
    <parameter key="except_value_type" value="file_path"/>
    <parameter key="block_type" value="single_value"/>
    <parameter key="use_block_type_exception" value="false"/>
    <parameter key="except_block_type" value="single_value"/>
    <parameter key="invert_selection" value="false"/>
    <parameter key="include_special_attributes" value="false"/>
    <parameter key="transform_binominal" value="false"/>
    <parameter key="use_underscore_in_name" value="false"/>
  </operator>
</process>
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
  <operator activated="true" class="numerical_to_binominal" compatibility="8.1.000" expanded="true" height="82" name="Numerical to Binominal" width="90" x="380" y="136">
    <parameter key="attribute_filter_type" value="all"/>
    <parameter key="attribute" value=""/>
    <parameter key="attributes" value=""/>
    <parameter key="use_except_expression" value="false"/>
    <parameter key="value_type" value="numeric"/>
    <parameter key="use_value_type_exception" value="false"/>
    <parameter key="except_value_type" value="real"/>
    <parameter key="block_type" value="value_series"/>
    <parameter key="use_block_type_exception" value="false"/>
    <parameter key="except_block_type" value="value_series_end"/>
    <parameter key="invert_selection" value="false"/>
    <parameter key="include_special_attributes" value="false"/>
    <parameter key="min" value="0.0"/>
    <parameter key="max" value="0.0"/>
  </operator>
</process>
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
  <operator activated="true" class="compare_rocs" compatibility="8.1.000" expanded="true" height="82" name="Compare ROCs" width="90" x="514" y="136">
    <parameter key="number_of_folds" value="10"/>
    <parameter key="split_ratio" value="0.7"/>
    <parameter key="sampling_type" value="stratified sampling"/>
    <parameter key="use_local_random_seed" value="false"/>
    <parameter key="local_random_seed" value="1992"/>
    <parameter key="use_example_weights" value="true"/>
    <parameter key="roc_bias" value="optimistic"/>
    <process expanded="true">
      <operator activated="true" class="naive_bayes" compatibility="8.1.000" expanded="true" height="82" name="Naive Bayes" width="90" x="112" y="30">
        <parameter key="laplace_correction" value="true"/>
      </operator>
      <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="8.1.000" expanded="true" height="103" name="Decision Tree" width="90" x="112" y="136">
        <parameter key="criterion" value="gain_ratio"/>
        <parameter key="maximal_depth" value="20"/>
        <parameter key="apply_pruning" value="true"/>
        <parameter key="confidence" value="0.25"/>
        <parameter key="apply_prepruning" value="true"/>
        <parameter key="minimal_gain" value="0.1"/>
        <parameter key="minimal_leaf_size" value="2"/>
        <parameter key="minimal_size_for_split" value="4"/>
        <parameter key="number_of_prepruning_alternatives" value="3"/>
      </operator>
      <connect from_port="train 1" to_op="Naive Bayes" to_port="training set"/>
      <connect from_port="train 2" to_op="Decision Tree" to_port="training set"/>
      <connect from_op="Naive Bayes" from_port="model" to_port="model 1"/>
      <connect from_op="Decision Tree" from_port="model" to_port="model 2"/>
      <portSpacing port="source_train 1" spacing="0"/>
      <portSpacing port="source_train 2" spacing="0"/>
      <portSpacing port="source_train 3" spacing="0"/>
      <portSpacing port="sink_model 1" spacing="0"/>
      <portSpacing port="sink_model 2" spacing="0"/>
      <portSpacing port="sink_model 3" spacing="0"/>
    </process>
  </operator>
</process>

@Telcontar120