<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.011">
  <context>
    <input>
      <location>//BaselineExperiments/Datasets/Golf</location>
    </input>
    <output>
      <location>//BaselineExperiments/Results/Golf06_m</location>
      <location>//BaselineExperiments/Results/Golf06_pv</location>
    </output>
    <macros/>
  </context>
  <annotations>
    <annotation key="MainGoal">string:PredictiveModelling</annotation>
    <annotation key="NoOfTrainingData">double:1.0</annotation>
    <annotation key="TDNoOfRowsMin">double:14.0</annotation>
    <annotation key="TDNoOfRowsMax">double:14.0</annotation>
    <annotation key="TDNoOfRowsMean">double:14.0</annotation>
    <annotation key="TDNoOfAttrMin">double:5.0</annotation>
    <annotation key="TDNoOfAttrMax">double:5.0</annotation>
    <annotation key="TDNoOfAttrMean">double:5.0</annotation>
    <annotation key="TDNoOfClusterIDAttrMin">double:0.0</annotation>
    <annotation key="TDNoOfClusterIDAttrMax">double:0.0</annotation>
    <annotation key="TDNoOfClusterIDAttrMean">double:0.0</annotation>
    <annotation key="TDNoOfIDAttrMin">double:0.0</annotation>
    <annotation key="TDNoOfIDAttrMax">double:0.0</annotation>
    <annotation key="TDNoOfIDAttrMean">double:0.0</annotation>
  </annotations>
  <operator activated="true" class="process" compatibility="5.1.011" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true" height="100" width="938">
      <operator activated="true" class="ida:DataMining" compatibility="5.0.000" expanded="true" height="94" name="DataMining" width="90" x="424" y="30">
        <description>This operator was generated by the IDA and refers to task DataMining
IDA: Operator TASK: , i55_DataMining, DataMining
IDA: Used: inputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA: No producer of i1_input_trainingData_1 found. Connecting i1_input_trainingData_1 as process input at //BaselineExperiments/Datasets/Golf.
IDA: Recursing into TASK DataMining
IDA: Completed recursion of DataMining
IDA: Produced: outputModel, i200 (null)
IDA: Produced: outputPV, i215 (null)</description>
        <process expanded="true">
          <operator activated="true" class="ida:Preprocessing" compatibility="5.0.000" expanded="true" name="Preprocessing">
            <description>This operator was generated by the IDA and refers to task Preprocessing
IDA:   Operator TASK: , i56_Preprocessing, Preprocessing
IDA:   Used: inputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:   Recursing into TASK Preprocessing
IDA:   Completed recursion of Preprocessing
IDA:   Produced: outputData, i189 (null)
IDA:   Produced: outputModel, i194 (null)</description>
            <process expanded="true">
              <operator activated="true" class="ida:CleanMV" compatibility="5.0.000" expanded="true" name="CleanMV">
                <description>This operator was generated by the IDA and refers to task CleanMV
IDA:     Operator TASK: , i57_CleanMV, CleanMV
IDA:     Used: inputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:     Recursing into TASK CleanMV
IDA:     Completed recursion of CleanMV
IDA:     Produced: outputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:     Produced: outputModel, i14 (null)</description>
                <process expanded="true">
                  <operator activated="true" class="group_models" compatibility="5.1.011" expanded="true" name="Group Models">
                    <description>This operator was generated by the IDA and refers to individual i13_RM_Group_Models_empty
IDA:       Operator BASIC: group_models, i13_RM_Group_Models_empty, RM_Group_Models_empty
IDA:       Produced: produces, i14 (null)</description>
                  </operator>
                  <connect from_port="inputData" to_port="outputData"/>
                  <connect from_op="Group Models" from_port="model out" to_port="outputModel"/>
                  <portSpacing port="source_inputData" spacing="0"/>
                  <portSpacing port="sink_outputData" spacing="0"/>
                  <portSpacing port="sink_outputModel" spacing="0"/>
                </process>
              </operator>
              <operator activated="true" class="ida:OptionalMixedDataUnification" compatibility="5.0.000" expanded="true" name="OptionalMixedDataUnification">
                <description>This operator was generated by the IDA and refers to task OptionalMixedDataUnification
IDA:     Operator TASK: , i58_OptionalMixedDataUnification, OptionalMixedDataUnification
IDA:     Used: inputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:     Recursing into TASK OptionalMixedDataUnification
IDA:     Completed recursion of OptionalMixedDataUnification
IDA:     Produced: outputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:     Produced: outputModel, i185 (null)</description>
                <process expanded="true">
                  <operator activated="true" class="group_models" compatibility="5.1.011" expanded="true" name="Group Models (2)">
                    <description>This operator was generated by the IDA and refers to individual i184_RM_Group_Models_empty
IDA:       Operator BASIC: group_models, i184_RM_Group_Models_empty, RM_Group_Models_empty
IDA:       Produced: produces, i185 (null)</description>
                  </operator>
                  <connect from_port="inputData" to_port="outputData"/>
                  <connect from_op="Group Models (2)" from_port="model out" to_port="outputModel"/>
                  <portSpacing port="source_inputData" spacing="0"/>
                  <portSpacing port="sink_outputData" spacing="0"/>
                  <portSpacing port="sink_outputModel" spacing="0"/>
                </process>
              </operator>
              <operator activated="true" class="group_models" compatibility="5.1.011" expanded="true" name="Group Models (3)">
                <description>This operator was generated by the IDA and refers to individual i186_RM_Group_Models_append
IDA:     Operator BASIC: group_models, i186_RM_Group_Models_append, RM_Group_Models_append
IDA:     Used: usesFirstModel, i14 (null)
IDA:     Used: usesSecondModel, i185 (null)
IDA:     Produced: produces, i187 (null)</description>
              </operator>
              <operator activated="true" class="ida:NormalizeScalar" compatibility="5.0.000" expanded="true" name="NormalizeScalar">
                <description>This operator was generated by the IDA and refers to task NormalizeScalar
IDA:     Operator TASK: , i59_NormalizeScalar, NormalizeScalar
IDA:     Used: inputData, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:     Recursing into TASK NormalizeScalar
IDA:     Completed recursion of NormalizeScalar
IDA:     Produced: outputData, i189 (null)
IDA:     Produced: outputModel, i190 (null)</description>
                <process expanded="true">
                  <operator activated="true" class="normalize" compatibility="5.1.011" expanded="true" name="Normalize">
                    <description>This operator was generated by the IDA and refers to individual i188_RM_Normalize_all_Z_transformation
IDA:       Operator BASIC: normalize, i188_RM_Normalize_all_Z_transformation, RM_Normalize_all_Z_transformation
IDA:       Setting simple parameter attribute_filter_type=all
IDA:       Setting simple parameter include_special_attributes=false
IDA:       Setting simple parameter method=Z-transformation
IDA:       Used: uses, i1_input_trainingData_1 (//BaselineExperiments/Datasets/Golf)
IDA:       Produced: producesData, i189 (null)
IDA:       Produced: producesPrePropModel, i190 (null)</description>
                    <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="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="method" value="Z-transformation"/>
                    <parameter key="min" value="0.0"/>
                    <parameter key="max" value="1.0"/>
                  </operator>
                  <connect from_port="inputData" to_op="Normalize" to_port="example set input"/>
                  <connect from_op="Normalize" from_port="example set output" to_port="outputData"/>
                  <connect from_op="Normalize" from_port="preprocessing model" to_port="outputModel"/>
                  <portSpacing port="source_inputData" spacing="0"/>
                  <portSpacing port="sink_outputData" spacing="0"/>
                  <portSpacing port="sink_outputModel" spacing="0"/>
                </process>
              </operator>
              <operator activated="true" class="group_models" compatibility="5.1.011" expanded="true" name="Group Models (4)">
                <description>This operator was generated by the IDA and refers to individual i193_RM_Group_Models_append
IDA:     Operator BASIC: group_models, i193_RM_Group_Models_append, RM_Group_Models_append
IDA:     Used: usesFirstModel, i187 (null)
IDA:     Used: usesSecondModel, i190 (null)
IDA:     Produced: produces, i194 (null)</description>
              </operator>
              <connect from_port="inputData" to_op="CleanMV" to_port="inputData"/>
              <connect from_op="CleanMV" from_port="outputData" to_op="OptionalMixedDataUnification" to_port="inputData"/>
              <connect from_op="CleanMV" from_port="outputModel" to_op="Group Models (3)" to_port="models in 1"/>
              <connect from_op="OptionalMixedDataUnification" from_port="outputData" to_op="NormalizeScalar" to_port="inputData"/>
              <connect from_op="OptionalMixedDataUnification" from_port="outputModel" to_op="Group Models (3)" to_port="models in 2"/>
              <connect from_op="Group Models (3)" from_port="model out" to_op="Group Models (4)" to_port="models in 1"/>
              <connect from_op="NormalizeScalar" from_port="outputData" to_port="outputData"/>
              <connect from_op="NormalizeScalar" from_port="outputModel" to_op="Group Models (4)" to_port="models in 2"/>
              <connect from_op="Group Models (4)" from_port="model out" to_port="outputModel"/>
              <portSpacing port="source_inputData" spacing="0"/>
              <portSpacing port="sink_outputData" spacing="0"/>
              <portSpacing port="sink_outputModel" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="x_validation" compatibility="5.1.011" expanded="true" name="Validation">
            <description>This operator was generated by the IDA and refers to dominating operator x_validation
IDA:   Operator DOMINATING: x_validation, i195_RM_XValidation_dom_1, RM_XValidation
IDA:   Setting simple parameter number_of_validations=10
IDA:   Used: uses, i189 (null)
IDA:   Recursing into DOMINATING operator Validation
IDA:   used by task: inputEvalData, i198 (null)
IDA:   used by task: inputTrainData, i197 (null)
IDA:   produced by task: outputModel, i200 (null)
IDA:   produced by task: outputPV, i215 (null)
IDA:    Recursing into step for Training: TASK ValidationTraining, i61_ValidationTraining
IDA:     used by step: inputData, i197 (null) &lt;- training
IDA:     produced by step: outputModel, i200 (null)-&gt;model
IDA:    Recursing into step for Testing: TASK ValidationEvaluation, i62_ValidationEvaluation
IDA:     used by step: inputData, i198 (null) &lt;- test set
IDA:     used by step: inputModel, i200 (null) &lt;- model
IDA:     produced by step: outputPV, i215 (null)-&gt;averagable 1
IDA:   Produced: producesPV, i215 (null)
IDA:   Produced: producesPredictionModel, i200 (null)</description>
            <parameter key="create_complete_model" value="false"/>
            <parameter key="average_performances_only" value="true"/>
            <parameter key="leave_one_out" value="false"/>
            <parameter key="number_of_validations" value="10"/>
            <parameter key="sampling_type" value="stratified sampling"/>
            <parameter key="use_local_random_seed" value="false"/>
            <parameter key="local_random_seed" value="1992"/>
            <process expanded="true">
              <operator activated="true" class="naive_bayes" compatibility="5.1.011" expanded="true" name="Naive Bayes">
                <description>This operator was generated by the IDA and refers to individual i202_RM_Naive_Bayes
IDA:     Operator BASIC: naive_bayes, i202_RM_Naive_Bayes, RM_Naive_Bayes
IDA:     Used: uses, i197 (null)
IDA:     Produced: produces, i200 (null)</description>
                <parameter key="laplace_correction" value="true"/>
              </operator>
              <connect from_port="training" to_op="Naive Bayes" to_port="training set"/>
              <connect from_op="Naive Bayes" from_port="model" to_port="model"/>
              <portSpacing port="source_training" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true">
              <operator activated="true" class="apply_model" compatibility="5.1.011" expanded="true" name="Apply Model">
                <description>This operator was generated by the IDA and refers to individual i210_RM_Apply_Model
IDA:     Operator BASIC: apply_model, i210_RM_Apply_Model, RM_Apply_Model
IDA:     Used: usesData, i198 (null)
IDA:     Used: usesModel, i200 (null)
IDA:     Produced: produces, i211 (null)</description>
                <list key="application_parameters"/>
                <parameter key="create_view" value="false"/>
              </operator>
              <operator activated="true" class="performance" compatibility="5.1.011" expanded="true" name="Performance">
                <description>This operator was generated by the IDA and refers to individual i216_RM_Performance
IDA:     Operator BASIC: performance, i216_RM_Performance, RM_Performance
IDA:     Used: uses, i211 (null)
IDA:     Produced: produces, i215 (null)</description>
                <parameter key="use_example_weights" value="true"/>
              </operator>
              <connect from_port="model" to_op="Apply Model" to_port="model"/>
              <connect from_port="test set" 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="averagable 1"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_averagable 1" spacing="0"/>
              <portSpacing port="sink_averagable 2" spacing="0"/>
            </process>
          </operator>
          <connect from_port="inputData" to_op="Preprocessing" to_port="inputData"/>
          <connect from_op="Preprocessing" from_port="outputData" to_op="Validation" to_port="training"/>
          <connect from_op="Validation" from_port="model" to_port="outputModel"/>
          <connect from_op="Validation" from_port="averagable 1" to_port="outputPV"/>
          <portSpacing port="source_inputData" spacing="0"/>
          <portSpacing port="source_inputEvalData" spacing="0"/>
          <portSpacing port="source_inputTrainData" spacing="0"/>
          <portSpacing port="sink_outputModel" spacing="0"/>
          <portSpacing port="sink_outputPV" spacing="0"/>
        </process>
      </operator>
      <connect from_port="input 1" to_op="DataMining" to_port="inputData"/>
      <connect from_op="DataMining" from_port="outputModel" to_port="result 1"/>
      <connect from_op="DataMining" from_port="outputPV" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="source_input 2" 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>
