<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.015">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.015" 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">
      <operator activated="true" class="log" compatibility="5.3.015" expanded="true" height="60" name="Perf_LOG" width="90" x="581" y="30">
        <parameter key="filename" value="C:\Users\petar\Documents\tmpLOG"/>
        <list key="log">
          <parameter key="nb" value="operator.NB.value.performance"/>
          <parameter key="knn" value="operator.KNN.value.performance"/>
          <parameter key="c45" value="operator.C45.value.performance"/>
          <parameter key="svm" value="operator.SVM.value.performance"/>
        </list>
        <parameter key="sorting_type" value="none"/>
        <parameter key="sorting_k" value="100"/>
        <parameter key="persistent" value="false"/>
      </operator>
      <operator activated="true" class="log" compatibility="5.3.015" expanded="true" height="60" name="Time_LOG" width="90" x="581" y="120">
        <parameter key="filename" value="tmpLOG2"/>
        <list key="log">
          <parameter key="create" value="operator.Relations.value.execution-time"/>
          <parameter key="nb" value="operator.NB.value.execution-time"/>
          <parameter key="knn" value="operator.KNN.value.execution-time"/>
          <parameter key="c45" value="operator.C45.value.execution-time"/>
          <parameter key="svm" value="operator.SVM.value.execution-time"/>
        </list>
        <parameter key="sorting_type" value="none"/>
        <parameter key="sorting_k" value="100"/>
        <parameter key="persistent" value="false"/>
      </operator>
      <operator activated="true" class="retrieve" compatibility="5.3.015" expanded="true" height="60" name="Retrieve types" width="90" x="45" y="255">
        <parameter key="repository_entry" value="//Local Repository/data/ISWC15/Forbes/types"/>
      </operator>
      <operator activated="true" class="multiply" compatibility="5.3.015" expanded="true" height="130" name="Multiply (2)" width="90" x="179" y="255"/>
      <operator activated="true" class="optimize_parameters_grid" compatibility="5.3.015" expanded="true" height="94" name="Optimize Parameters SVM" width="90" x="380" y="435">
        <list key="parameters">
          <parameter key="SVM (3).C" value="0.001,0.01,0.1,1,10,1000"/>
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        <process expanded="true">
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            <parameter key="average_performances_only" value="true"/>
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            <parameter key="number_of_validations" value="10"/>
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            <parameter key="local_random_seed" value="1992"/>
            <process expanded="true">
              <operator activated="true" class="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes (8)" width="90" x="45" y="30">
                <parameter key="attribute_filter_type" value="value_type"/>
                <parameter key="attribute" value=""/>
                <parameter key="attributes" value=""/>
                <parameter key="use_except_expression" value="false"/>
                <parameter key="value_type" value="numeric"/>
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                <parameter key="invert_selection" value="false"/>
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              <operator activated="true" class="support_vector_machine_libsvm" compatibility="5.3.015" expanded="true" height="76" name="SVM (3)" width="90" x="179" y="30">
                <parameter key="svm_type" value="C-SVC"/>
                <parameter key="kernel_type" value="linear"/>
                <parameter key="degree" value="3"/>
                <parameter key="gamma" value="0.0"/>
                <parameter key="coef0" value="0.0"/>
                <parameter key="C" value="1000"/>
                <parameter key="nu" value="0.5"/>
                <parameter key="cache_size" value="80"/>
                <parameter key="epsilon" value="0.001"/>
                <parameter key="p" value="0.1"/>
                <list key="class_weights"/>
                <parameter key="shrinking" value="true"/>
                <parameter key="calculate_confidences" value="false"/>
                <parameter key="confidence_for_multiclass" value="true"/>
              </operator>
              <connect from_port="training" to_op="Select Attributes (8)" to_port="example set input"/>
              <connect from_op="Select Attributes (8)" from_port="example set output" to_op="SVM (3)" to_port="training set"/>
              <connect from_op="SVM (3)" from_port="model" to_port="model"/>
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            <process expanded="true">
              <operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model (6)" width="90" x="45" y="30">
                <list key="application_parameters"/>
                <parameter key="create_view" value="false"/>
              </operator>
              <operator activated="true" class="performance_classification" compatibility="5.3.015" expanded="true" height="76" name="Performance (2)" width="90" x="164" y="30">
                <parameter key="main_criterion" value="first"/>
                <parameter key="accuracy" value="true"/>
                <parameter key="classification_error" value="false"/>
                <parameter key="kappa" value="false"/>
                <parameter key="weighted_mean_recall" value="false"/>
                <parameter key="weighted_mean_precision" value="false"/>
                <parameter key="spearman_rho" value="false"/>
                <parameter key="kendall_tau" value="false"/>
                <parameter key="absolute_error" value="false"/>
                <parameter key="relative_error" value="false"/>
                <parameter key="relative_error_lenient" value="false"/>
                <parameter key="relative_error_strict" value="false"/>
                <parameter key="normalized_absolute_error" value="false"/>
                <parameter key="root_mean_squared_error" value="false"/>
                <parameter key="root_relative_squared_error" value="false"/>
                <parameter key="squared_error" value="false"/>
                <parameter key="correlation" value="false"/>
                <parameter key="squared_correlation" value="false"/>
                <parameter key="cross-entropy" value="false"/>
                <parameter key="margin" value="false"/>
                <parameter key="soft_margin_loss" value="false"/>
                <parameter key="logistic_loss" value="false"/>
                <parameter key="skip_undefined_labels" value="true"/>
                <parameter key="use_example_weights" value="true"/>
                <list key="class_weights"/>
              </operator>
              <connect from_port="model" to_op="Apply Model (6)" to_port="model"/>
              <connect from_port="test set" to_op="Apply Model (6)" to_port="unlabelled data"/>
              <connect from_op="Apply Model (6)" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>
              <connect from_op="Performance (2)" from_port="performance" to_port="averagable 1"/>
              <portSpacing port="source_model" spacing="0"/>
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              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_averagable 1" spacing="0"/>
              <portSpacing port="sink_averagable 2" spacing="0"/>
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          </operator>
          <connect from_port="input 1" to_op="SVM" to_port="training"/>
          <connect from_op="SVM" from_port="averagable 1" to_port="performance"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.3.015" expanded="true" height="112" name="C45" width="90" x="380" y="300">
        <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="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes (6)" width="90" x="45" y="30">
            <parameter key="attribute_filter_type" value="value_type"/>
            <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="time"/>
            <parameter key="block_type" value="attribute_block"/>
            <parameter key="use_block_type_exception" value="false"/>
            <parameter key="except_block_type" value="value_matrix_row_start"/>
            <parameter key="invert_selection" value="false"/>
            <parameter key="include_special_attributes" value="false"/>
          </operator>
          <operator activated="true" class="weka:W-J48" compatibility="5.3.001" expanded="true" height="76" name="W-J48 (4)" width="90" x="246" y="30">
            <parameter key="U" value="false"/>
            <parameter key="C" value="0.25"/>
            <parameter key="M" value="2.0"/>
            <parameter key="R" value="false"/>
            <parameter key="B" value="false"/>
            <parameter key="S" value="false"/>
            <parameter key="L" value="false"/>
            <parameter key="A" value="false"/>
          </operator>
          <connect from_port="training" to_op="Select Attributes (6)" to_port="example set input"/>
          <connect from_op="Select Attributes (6)" from_port="example set output" to_op="W-J48 (4)" to_port="training set"/>
          <connect from_op="W-J48 (4)" 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="5.3.015" expanded="true" height="76" name="Apply Model (4)" width="90" x="45" y="30">
            <list key="application_parameters"/>
            <parameter key="create_view" value="false"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.3.015" expanded="true" height="76" name="C45 (2)" width="90" x="203" y="30">
            <parameter key="main_criterion" value="first"/>
            <parameter key="accuracy" value="true"/>
            <parameter key="classification_error" value="false"/>
            <parameter key="kappa" value="false"/>
            <parameter key="weighted_mean_recall" value="false"/>
            <parameter key="weighted_mean_precision" value="false"/>
            <parameter key="spearman_rho" value="false"/>
            <parameter key="kendall_tau" value="false"/>
            <parameter key="absolute_error" value="false"/>
            <parameter key="relative_error" value="false"/>
            <parameter key="relative_error_lenient" value="false"/>
            <parameter key="relative_error_strict" value="false"/>
            <parameter key="normalized_absolute_error" value="false"/>
            <parameter key="root_mean_squared_error" value="false"/>
            <parameter key="root_relative_squared_error" value="false"/>
            <parameter key="squared_error" value="false"/>
            <parameter key="correlation" value="false"/>
            <parameter key="squared_correlation" value="false"/>
            <parameter key="cross-entropy" value="false"/>
            <parameter key="margin" value="false"/>
            <parameter key="soft_margin_loss" value="false"/>
            <parameter key="logistic_loss" value="false"/>
            <parameter key="skip_undefined_labels" value="true"/>
            <parameter key="use_example_weights" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model (4)" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model (4)" to_port="unlabelled data"/>
          <connect from_op="Apply Model (4)" from_port="labelled data" to_op="C45 (2)" to_port="labelled data"/>
          <connect from_op="C45 (2)" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
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        </process>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.3.015" expanded="true" height="112" name="KNN" width="90" x="380" y="165">
        <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="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes (4)" width="90" x="45" y="30">
            <parameter key="attribute_filter_type" value="value_type"/>
            <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="time"/>
            <parameter key="block_type" value="attribute_block"/>
            <parameter key="use_block_type_exception" value="false"/>
            <parameter key="except_block_type" value="value_matrix_row_start"/>
            <parameter key="invert_selection" value="false"/>
            <parameter key="include_special_attributes" value="false"/>
          </operator>
          <operator activated="true" class="k_nn" compatibility="5.3.015" expanded="true" height="76" name="k-NN (2)" width="90" x="180" y="210">
            <parameter key="k" value="3"/>
            <parameter key="weighted_vote" value="false"/>
            <parameter key="measure_types" value="NumericalMeasures"/>
            <parameter key="mixed_measure" value="MixedEuclideanDistance"/>
            <parameter key="nominal_measure" value="NominalDistance"/>
            <parameter key="numerical_measure" value="EuclideanDistance"/>
            <parameter key="divergence" value="GeneralizedIDivergence"/>
            <parameter key="kernel_type" value="radial"/>
            <parameter key="kernel_gamma" value="1.0"/>
            <parameter key="kernel_sigma1" value="1.0"/>
            <parameter key="kernel_sigma2" value="0.0"/>
            <parameter key="kernel_sigma3" value="2.0"/>
            <parameter key="kernel_degree" value="3.0"/>
            <parameter key="kernel_shift" value="1.0"/>
            <parameter key="kernel_a" value="1.0"/>
            <parameter key="kernel_b" value="0.0"/>
          </operator>
          <connect from_port="training" to_op="Select Attributes (4)" to_port="example set input"/>
          <connect from_op="Select Attributes (4)" from_port="example set output" to_op="k-NN (2)" to_port="training set"/>
          <connect from_op="k-NN (2)" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
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        </process>
        <process expanded="true">
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            <list key="application_parameters"/>
            <parameter key="create_view" value="false"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.3.015" expanded="true" height="76" name="KNN (2)" width="90" x="203" y="30">
            <parameter key="main_criterion" value="first"/>
            <parameter key="accuracy" value="true"/>
            <parameter key="classification_error" value="false"/>
            <parameter key="kappa" value="false"/>
            <parameter key="weighted_mean_recall" value="false"/>
            <parameter key="weighted_mean_precision" value="false"/>
            <parameter key="spearman_rho" value="false"/>
            <parameter key="kendall_tau" value="false"/>
            <parameter key="absolute_error" value="false"/>
            <parameter key="relative_error" value="false"/>
            <parameter key="relative_error_lenient" value="false"/>
            <parameter key="relative_error_strict" value="false"/>
            <parameter key="normalized_absolute_error" value="false"/>
            <parameter key="root_mean_squared_error" value="false"/>
            <parameter key="root_relative_squared_error" value="false"/>
            <parameter key="squared_error" value="false"/>
            <parameter key="correlation" value="false"/>
            <parameter key="squared_correlation" value="false"/>
            <parameter key="cross-entropy" value="false"/>
            <parameter key="margin" value="false"/>
            <parameter key="soft_margin_loss" value="false"/>
            <parameter key="logistic_loss" value="false"/>
            <parameter key="skip_undefined_labels" value="true"/>
            <parameter key="use_example_weights" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model (2)" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model (2)" to_port="unlabelled data"/>
          <connect from_op="Apply Model (2)" from_port="labelled data" to_op="KNN (2)" to_port="labelled data"/>
          <connect from_op="KNN (2)" from_port="performance" to_port="averagable 1"/>
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      </operator>
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        <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="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes (5)" width="90" x="45" y="30">
            <parameter key="attribute_filter_type" value="value_type"/>
            <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="time"/>
            <parameter key="block_type" value="attribute_block"/>
            <parameter key="use_block_type_exception" value="false"/>
            <parameter key="except_block_type" value="value_matrix_row_start"/>
            <parameter key="invert_selection" value="false"/>
            <parameter key="include_special_attributes" value="false"/>
          </operator>
          <operator activated="true" class="naive_bayes" compatibility="5.3.015" expanded="true" height="76" name="Naive Bayes (3)" width="90" x="45" y="120">
            <parameter key="laplace_correction" value="true"/>
          </operator>
          <connect from_port="training" to_op="Select Attributes (5)" to_port="example set input"/>
          <connect from_op="Select Attributes (5)" from_port="example set output" to_op="Naive Bayes (3)" to_port="training set"/>
          <connect from_op="Naive Bayes (3)" from_port="model" to_port="model"/>
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        <process expanded="true">
          <operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model (3)" width="90" x="45" y="30">
            <list key="application_parameters"/>
            <parameter key="create_view" value="false"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.3.015" expanded="true" height="76" name="NB (2)" width="90" x="203" y="30">
            <parameter key="main_criterion" value="first"/>
            <parameter key="accuracy" value="true"/>
            <parameter key="classification_error" value="false"/>
            <parameter key="kappa" value="false"/>
            <parameter key="weighted_mean_recall" value="false"/>
            <parameter key="weighted_mean_precision" value="false"/>
            <parameter key="spearman_rho" value="false"/>
            <parameter key="kendall_tau" value="false"/>
            <parameter key="absolute_error" value="false"/>
            <parameter key="relative_error" value="false"/>
            <parameter key="relative_error_lenient" value="false"/>
            <parameter key="relative_error_strict" value="false"/>
            <parameter key="normalized_absolute_error" value="false"/>
            <parameter key="root_mean_squared_error" value="false"/>
            <parameter key="root_relative_squared_error" value="false"/>
            <parameter key="squared_error" value="false"/>
            <parameter key="correlation" value="false"/>
            <parameter key="squared_correlation" value="false"/>
            <parameter key="cross-entropy" value="false"/>
            <parameter key="margin" value="false"/>
            <parameter key="soft_margin_loss" value="false"/>
            <parameter key="logistic_loss" value="false"/>
            <parameter key="skip_undefined_labels" value="true"/>
            <parameter key="use_example_weights" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model (3)" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model (3)" to_port="unlabelled data"/>
          <connect from_op="Apply Model (3)" from_port="labelled data" to_op="NB (2)" to_port="labelled data"/>
          <connect from_op="NB (2)" from_port="performance" to_port="averagable 1"/>
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          <portSpacing port="source_test set" spacing="0"/>
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          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Retrieve types" from_port="output" to_op="Multiply (2)" to_port="input"/>
      <connect from_op="Multiply (2)" from_port="output 1" to_op="NB" to_port="training"/>
      <connect from_op="Multiply (2)" from_port="output 2" to_op="KNN" to_port="training"/>
      <connect from_op="Multiply (2)" from_port="output 3" to_op="C45" to_port="training"/>
      <connect from_op="Multiply (2)" from_port="output 4" to_op="Optimize Parameters SVM" to_port="input 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
    </process>
  </operator>
</process>
