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faridehbagherzadeh

UsingJust1Imputation

faridehbagherzadeh
Aug 1st, 2013
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  1. <?xml version="1.0" encoding="UTF-8" standalone="no"?>
  2. <process version="5.3.008">
  3.   <context>
  4.     <input/>
  5.     <output/>
  6.     <macros/>
  7.   </context>
  8.   <operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
  9.     <process expanded="true">
  10.       <operator activated="true" class="retrieve" compatibility="5.3.008" expanded="true" height="60" name="Retrieve" width="90" x="45" y="30">
  11.         <parameter key="repository_entry" value="//Samples/data/Sonar"/>
  12.       </operator>
  13.       <operator activated="true" class="normalize" compatibility="5.3.008" expanded="true" height="94" name="Normalize" width="90" x="180" y="30"/>
  14.       <operator activated="true" class="loop_attributes" compatibility="5.3.008" expanded="true" height="76" name="Loop Attributes" width="90" x="315" y="30">
  15.         <parameter key="iteration_macro" value="a1"/>
  16.         <process expanded="true">
  17.           <operator activated="true" class="generate_attributes" compatibility="5.3.008" expanded="true" height="76" name="Generate Attributes (2)" width="90" x="296" y="73">
  18.             <list key="function_descriptions">
  19.               <parameter key="%{a1}" value="if(rand() &gt; .9, NaN, %{a1})"/>
  20.             </list>
  21.             <parameter key="use_standard_constants" value="false"/>
  22.           </operator>
  23.           <connect from_port="example set" to_op="Generate Attributes (2)" to_port="example set input"/>
  24.           <connect from_op="Generate Attributes (2)" from_port="example set output" to_port="example set"/>
  25.           <portSpacing port="source_example set" spacing="0"/>
  26.           <portSpacing port="sink_example set" spacing="0"/>
  27.           <portSpacing port="sink_result 1" spacing="0"/>
  28.         </process>
  29.       </operator>
  30.       <operator activated="true" class="r:execute_script_r" compatibility="5.3.000" expanded="true" height="76" name="Multiple Imputation" width="90" x="447" y="30">
  31.         <parameter key="script" value="library(VIM)&#10;ImputedData&lt;-irmi(data, eps = 5, maxit = 100, noise = TRUE, noise.factor = 1, mi = 1, init.method=&quot;kNN&quot;)&#10;&#10;&#10;"/>
  32.         <enumeration key="inputs">
  33.           <parameter key="name_of_variable" value="data"/>
  34.         </enumeration>
  35.         <list key="results">
  36.           <parameter key="ImputedData" value="Data Table"/>
  37.         </list>
  38.       </operator>
  39.       <operator activated="true" breakpoints="after" class="set_role" compatibility="5.3.008" expanded="true" height="76" name="Set Role" width="90" x="581" y="30">
  40.         <parameter key="attribute_name" value="class"/>
  41.         <parameter key="target_role" value="label"/>
  42.         <list key="set_additional_roles"/>
  43.       </operator>
  44.       <operator activated="true" class="multiply" compatibility="5.3.008" expanded="true" height="130" name="Multiply" width="90" x="715" y="30"/>
  45.       <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="166" name="Base Learners" width="90" x="925" y="30">
  46.         <process expanded="true">
  47.           <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="166" name="Models" width="90" x="45" y="30">
  48.             <process expanded="true">
  49.               <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="94" name="Decision Tree" width="90" x="246" y="165">
  50.                 <process expanded="true">
  51.                   <operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="112" name="Validation-Decision Tree" width="90" x="227" y="30">
  52.                     <process expanded="true">
  53.                       <operator activated="true" class="weka:W-J48" compatibility="5.3.001" expanded="true" height="76" name="W-J48" width="90" x="74" y="30"/>
  54.                       <connect from_port="training" to_op="W-J48" to_port="training set"/>
  55.                       <connect from_op="W-J48" from_port="model" to_port="model"/>
  56.                       <portSpacing port="source_training" spacing="0"/>
  57.                       <portSpacing port="sink_model" spacing="0"/>
  58.                       <portSpacing port="sink_through 1" spacing="0"/>
  59.                     </process>
  60.                     <process expanded="true">
  61.                       <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model-Decision Tree" width="90" x="45" y="30">
  62.                         <list key="application_parameters"/>
  63.                       </operator>
  64.                       <operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance-Decision Tree" width="90" x="179" y="30">
  65.                         <parameter key="classification_error" value="true"/>
  66.                         <parameter key="kappa" value="true"/>
  67.                         <parameter key="weighted_mean_recall" value="true"/>
  68.                         <parameter key="weighted_mean_precision" value="true"/>
  69.                         <parameter key="spearman_rho" value="true"/>
  70.                         <list key="class_weights"/>
  71.                       </operator>
  72.                       <connect from_port="model" to_op="Apply Model-Decision Tree" to_port="model"/>
  73.                       <connect from_port="test set" to_op="Apply Model-Decision Tree" to_port="unlabelled data"/>
  74.                       <connect from_op="Apply Model-Decision Tree" from_port="labelled data" to_op="Performance-Decision Tree" to_port="labelled data"/>
  75.                       <connect from_op="Performance-Decision Tree" from_port="performance" to_port="averagable 1"/>
  76.                       <portSpacing port="source_model" spacing="0"/>
  77.                       <portSpacing port="source_test set" spacing="0"/>
  78.                       <portSpacing port="source_through 1" spacing="0"/>
  79.                       <portSpacing port="sink_averagable 1" spacing="0"/>
  80.                       <portSpacing port="sink_averagable 2" spacing="0"/>
  81.                     </process>
  82.                   </operator>
  83.                   <connect from_port="in 1" to_op="Validation-Decision Tree" to_port="training"/>
  84.                   <connect from_op="Validation-Decision Tree" from_port="model" to_port="out 1"/>
  85.                   <connect from_op="Validation-Decision Tree" from_port="averagable 1" to_port="out 2"/>
  86.                   <portSpacing port="source_in 1" spacing="0"/>
  87.                   <portSpacing port="source_in 2" spacing="0"/>
  88.                   <portSpacing port="sink_out 1" spacing="0"/>
  89.                   <portSpacing port="sink_out 2" spacing="0"/>
  90.                   <portSpacing port="sink_out 3" spacing="0"/>
  91.                 </process>
  92.               </operator>
  93.               <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="94" name="SVM (2)" width="90" x="246" y="30">
  94.                 <process expanded="true">
  95.                   <operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="112" name="Validation-SVM" width="90" x="218" y="30">
  96.                     <process expanded="true">
  97.                       <operator activated="true" class="support_vector_machine" compatibility="5.3.008" expanded="true" height="112" name="SVM" width="90" x="78" y="30"/>
  98.                       <connect from_port="training" to_op="SVM" to_port="training set"/>
  99.                       <connect from_op="SVM" from_port="model" to_port="model"/>
  100.                       <portSpacing port="source_training" spacing="0"/>
  101.                       <portSpacing port="sink_model" spacing="0"/>
  102.                       <portSpacing port="sink_through 1" spacing="0"/>
  103.                     </process>
  104.                     <process expanded="true">
  105.                       <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model-SVM" width="90" x="45" y="30">
  106.                         <list key="application_parameters"/>
  107.                       </operator>
  108.                       <operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance-SVM" width="90" x="158" y="30">
  109.                         <parameter key="classification_error" value="true"/>
  110.                         <parameter key="kappa" value="true"/>
  111.                         <parameter key="weighted_mean_recall" value="true"/>
  112.                         <parameter key="weighted_mean_precision" value="true"/>
  113.                         <parameter key="spearman_rho" value="true"/>
  114.                         <list key="class_weights"/>
  115.                       </operator>
  116.                       <connect from_port="model" to_op="Apply Model-SVM" to_port="model"/>
  117.                       <connect from_port="test set" to_op="Apply Model-SVM" to_port="unlabelled data"/>
  118.                       <connect from_op="Apply Model-SVM" from_port="labelled data" to_op="Performance-SVM" to_port="labelled data"/>
  119.                       <connect from_op="Performance-SVM" from_port="performance" to_port="averagable 1"/>
  120.                       <portSpacing port="source_model" spacing="0"/>
  121.                       <portSpacing port="source_test set" spacing="0"/>
  122.                       <portSpacing port="source_through 1" spacing="0"/>
  123.                       <portSpacing port="sink_averagable 1" spacing="0"/>
  124.                       <portSpacing port="sink_averagable 2" spacing="0"/>
  125.                     </process>
  126.                   </operator>
  127.                   <connect from_port="in 1" to_op="Validation-SVM" to_port="training"/>
  128.                   <connect from_op="Validation-SVM" from_port="model" to_port="out 1"/>
  129.                   <connect from_op="Validation-SVM" from_port="averagable 1" to_port="out 2"/>
  130.                   <portSpacing port="source_in 1" spacing="0"/>
  131.                   <portSpacing port="source_in 2" spacing="0"/>
  132.                   <portSpacing port="sink_out 1" spacing="0"/>
  133.                   <portSpacing port="sink_out 2" spacing="0"/>
  134.                   <portSpacing port="sink_out 3" spacing="0"/>
  135.                 </process>
  136.               </operator>
  137.               <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="94" name="Naive Bayes (2)" width="90" x="246" y="300">
  138.                 <process expanded="true">
  139.                   <operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" name="Validation-Naive Bayes">
  140.                     <process expanded="true">
  141.                       <operator activated="true" class="naive_bayes" compatibility="5.3.008" expanded="true" name="Naive Bayes"/>
  142.                       <connect from_port="training" to_op="Naive Bayes" to_port="training set"/>
  143.                       <connect from_op="Naive Bayes" from_port="model" to_port="model"/>
  144.                       <portSpacing port="source_training" spacing="0"/>
  145.                       <portSpacing port="sink_model" spacing="0"/>
  146.                       <portSpacing port="sink_through 1" spacing="0"/>
  147.                     </process>
  148.                     <process expanded="true">
  149.                       <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" name="Apply Model-Naive Bayes">
  150.                         <list key="application_parameters"/>
  151.                       </operator>
  152.                       <operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" name="Performance-Naive Bayes">
  153.                         <parameter key="classification_error" value="true"/>
  154.                         <parameter key="kappa" value="true"/>
  155.                         <parameter key="weighted_mean_recall" value="true"/>
  156.                         <parameter key="weighted_mean_precision" value="true"/>
  157.                         <parameter key="spearman_rho" value="true"/>
  158.                         <list key="class_weights"/>
  159.                       </operator>
  160.                       <connect from_port="model" to_op="Apply Model-Naive Bayes" to_port="model"/>
  161.                       <connect from_port="test set" to_op="Apply Model-Naive Bayes" to_port="unlabelled data"/>
  162.                       <connect from_op="Apply Model-Naive Bayes" from_port="labelled data" to_op="Performance-Naive Bayes" to_port="labelled data"/>
  163.                       <connect from_op="Performance-Naive Bayes" from_port="performance" to_port="averagable 1"/>
  164.                       <portSpacing port="source_model" spacing="0"/>
  165.                       <portSpacing port="source_test set" spacing="0"/>
  166.                       <portSpacing port="source_through 1" spacing="0"/>
  167.                       <portSpacing port="sink_averagable 1" spacing="0"/>
  168.                       <portSpacing port="sink_averagable 2" spacing="0"/>
  169.                     </process>
  170.                   </operator>
  171.                   <connect from_port="in 1" to_op="Validation-Naive Bayes" to_port="training"/>
  172.                   <connect from_op="Validation-Naive Bayes" from_port="model" to_port="out 1"/>
  173.                   <connect from_op="Validation-Naive Bayes" from_port="averagable 1" to_port="out 2"/>
  174.                   <portSpacing port="source_in 1" spacing="0"/>
  175.                   <portSpacing port="source_in 2" spacing="0"/>
  176.                   <portSpacing port="sink_out 1" spacing="0"/>
  177.                   <portSpacing port="sink_out 2" spacing="0"/>
  178.                   <portSpacing port="sink_out 3" spacing="0"/>
  179.                 </process>
  180.               </operator>
  181.               <connect from_port="in 1" to_op="SVM (2)" to_port="in 1"/>
  182.               <connect from_port="in 2" to_op="Decision Tree" to_port="in 1"/>
  183.               <connect from_port="in 3" to_op="Naive Bayes (2)" to_port="in 1"/>
  184.               <connect from_op="Decision Tree" from_port="out 1" to_port="out 3"/>
  185.               <connect from_op="Decision Tree" from_port="out 2" to_port="out 4"/>
  186.               <connect from_op="SVM (2)" from_port="out 1" to_port="out 1"/>
  187.               <connect from_op="SVM (2)" from_port="out 2" to_port="out 2"/>
  188.               <connect from_op="Naive Bayes (2)" from_port="out 1" to_port="out 5"/>
  189.               <connect from_op="Naive Bayes (2)" from_port="out 2" to_port="out 6"/>
  190.               <portSpacing port="source_in 1" spacing="0"/>
  191.               <portSpacing port="source_in 2" spacing="0"/>
  192.               <portSpacing port="source_in 3" spacing="0"/>
  193.               <portSpacing port="source_in 4" spacing="0"/>
  194.               <portSpacing port="sink_out 1" spacing="0"/>
  195.               <portSpacing port="sink_out 2" spacing="0"/>
  196.               <portSpacing port="sink_out 3" spacing="0"/>
  197.               <portSpacing port="sink_out 4" spacing="0"/>
  198.               <portSpacing port="sink_out 5" spacing="0"/>
  199.               <portSpacing port="sink_out 6" spacing="0"/>
  200.               <portSpacing port="sink_out 7" spacing="0"/>
  201.             </process>
  202.           </operator>
  203.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Naive Bayes Performance" width="90" x="286" y="120">
  204.             <parameter key="name" value="Naive Bayes Performance"/>
  205.             <parameter key="io_object" value="PerformanceVector"/>
  206.           </operator>
  207.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Naive Bayes Model" width="90" x="286" y="102">
  208.             <parameter key="name" value="Naive Bayes Model"/>
  209.             <parameter key="io_object" value="PredictionModel"/>
  210.           </operator>
  211.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Decision Tree Performance" width="90" x="286" y="84">
  212.             <parameter key="name" value="Decision Tree Performance"/>
  213.             <parameter key="io_object" value="PerformanceVector"/>
  214.           </operator>
  215.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Decision Tree Model" width="90" x="286" y="66">
  216.             <parameter key="name" value="Decision Tree Model"/>
  217.             <parameter key="io_object" value="PredictionModel"/>
  218.           </operator>
  219.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-SVM Performance" width="90" x="286" y="48">
  220.             <parameter key="name" value="SVM Performance"/>
  221.             <parameter key="io_object" value="PerformanceVector"/>
  222.           </operator>
  223.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-SVM Model" width="90" x="286" y="30">
  224.             <parameter key="name" value="SVM Model"/>
  225.             <parameter key="io_object" value="PredictionModel"/>
  226.           </operator>
  227.           <connect from_port="in 1" to_op="Models" to_port="in 1"/>
  228.           <connect from_port="in 2" to_op="Models" to_port="in 2"/>
  229.           <connect from_port="in 3" to_op="Models" to_port="in 3"/>
  230.           <connect from_op="Models" from_port="out 1" to_op="Remember-SVM Model" to_port="store"/>
  231.           <connect from_op="Models" from_port="out 2" to_op="Remember-SVM Performance" to_port="store"/>
  232.           <connect from_op="Models" from_port="out 3" to_op="Remember-Decision Tree Model" to_port="store"/>
  233.           <connect from_op="Models" from_port="out 4" to_op="Remember-Decision Tree Performance" to_port="store"/>
  234.           <connect from_op="Models" from_port="out 5" to_op="Remember-Naive Bayes Model" to_port="store"/>
  235.           <connect from_op="Models" from_port="out 6" to_op="Remember-Naive Bayes Performance" to_port="store"/>
  236.           <connect from_op="Remember-Naive Bayes Performance" from_port="stored" to_port="out 6"/>
  237.           <connect from_op="Remember-Naive Bayes Model" from_port="stored" to_port="out 5"/>
  238.           <connect from_op="Remember-Decision Tree Performance" from_port="stored" to_port="out 4"/>
  239.           <connect from_op="Remember-Decision Tree Model" from_port="stored" to_port="out 3"/>
  240.           <connect from_op="Remember-SVM Performance" from_port="stored" to_port="out 2"/>
  241.           <connect from_op="Remember-SVM Model" from_port="stored" to_port="out 1"/>
  242.           <portSpacing port="source_in 1" spacing="0"/>
  243.           <portSpacing port="source_in 2" spacing="0"/>
  244.           <portSpacing port="source_in 3" spacing="0"/>
  245.           <portSpacing port="source_in 4" spacing="0"/>
  246.           <portSpacing port="sink_out 1" spacing="0"/>
  247.           <portSpacing port="sink_out 2" spacing="0"/>
  248.           <portSpacing port="sink_out 3" spacing="0"/>
  249.           <portSpacing port="sink_out 4" spacing="0"/>
  250.           <portSpacing port="sink_out 5" spacing="0"/>
  251.           <portSpacing port="sink_out 6" spacing="0"/>
  252.           <portSpacing port="sink_out 7" spacing="0"/>
  253.         </process>
  254.       </operator>
  255.       <operator activated="true" class="subprocess" compatibility="5.3.008" expanded="true" height="94" name="Subprocess-Stacking" width="90" x="916" y="210">
  256.         <process expanded="true">
  257.           <operator activated="true" class="x_validation" compatibility="5.3.008" expanded="true" height="112" name="Validation-Stacking" width="90" x="45" y="30">
  258.             <description>in haman Cross-Fold Validation ast
  259.  
  260.  
  261.  
  262. Stratified entekhab shode ta ye vaght nakonad az yek class recordi entekhab nashavad</description>
  263.             <process expanded="true">
  264.               <operator activated="true" class="metacost" compatibility="5.3.008" expanded="true" height="76" name="MetaCost-Stacking" width="90" x="45" y="30">
  265.                 <parameter key="cost_matrix" value="[0.0 1.0;1.0 0.0]"/>
  266.                 <process expanded="true">
  267.                   <operator activated="true" class="stacking" compatibility="5.3.008" expanded="true" height="60" name="Stacking" width="90" x="218" y="30">
  268.                     <process expanded="true">
  269.                       <operator activated="true" class="recall" compatibility="5.3.008" expanded="true" height="60" name="Recall-SVM Model (2)" width="90" x="45" y="30">
  270.                         <parameter key="name" value="SVM Model"/>
  271.                         <parameter key="io_object" value="PredictionModel"/>
  272.                         <parameter key="remove_from_store" value="false"/>
  273.                       </operator>
  274.                       <operator activated="true" class="recall" compatibility="5.3.008" expanded="true" height="60" name="Recall-Decision Tree Model (2)" width="90" x="45" y="120">
  275.                         <parameter key="name" value="Decision Tree Model"/>
  276.                         <parameter key="io_object" value="PredictionModel"/>
  277.                         <parameter key="remove_from_store" value="false"/>
  278.                       </operator>
  279.                       <operator activated="true" class="recall" compatibility="5.3.008" expanded="true" height="60" name="Recall-Naive Bayes Model (2)" width="90" x="45" y="210">
  280.                         <parameter key="name" value="Naive Bayes Model"/>
  281.                         <parameter key="io_object" value="PredictionModel"/>
  282.                         <parameter key="remove_from_store" value="false"/>
  283.                       </operator>
  284.                       <connect from_op="Recall-SVM Model (2)" from_port="result" to_port="base model 1"/>
  285.                       <connect from_op="Recall-Decision Tree Model (2)" from_port="result" to_port="base model 2"/>
  286.                       <connect from_op="Recall-Naive Bayes Model (2)" from_port="result" to_port="base model 3"/>
  287.                       <portSpacing port="source_training set 1" spacing="0"/>
  288.                       <portSpacing port="sink_base model 1" spacing="0"/>
  289.                       <portSpacing port="sink_base model 2" spacing="0"/>
  290.                       <portSpacing port="sink_base model 3" spacing="0"/>
  291.                       <portSpacing port="sink_base model 4" spacing="0"/>
  292.                     </process>
  293.                     <process expanded="true">
  294.                       <operator activated="true" class="k_nn" compatibility="5.3.008" expanded="true" height="76" name="k-NN" width="90" x="99" y="30"/>
  295.                       <connect from_port="stacking examples" to_op="k-NN" to_port="training set"/>
  296.                       <connect from_op="k-NN" from_port="model" to_port="stacking model"/>
  297.                       <portSpacing port="source_stacking examples" spacing="0"/>
  298.                       <portSpacing port="sink_stacking model" spacing="0"/>
  299.                     </process>
  300.                   </operator>
  301.                   <connect from_port="training set" to_op="Stacking" to_port="training set"/>
  302.                   <connect from_op="Stacking" from_port="model" to_port="model"/>
  303.                   <portSpacing port="source_training set" spacing="0"/>
  304.                   <portSpacing port="sink_model" spacing="0"/>
  305.                 </process>
  306.               </operator>
  307.               <connect from_port="training" to_op="MetaCost-Stacking" to_port="training set"/>
  308.               <connect from_op="MetaCost-Stacking" from_port="model" to_port="model"/>
  309.               <portSpacing port="source_training" spacing="0"/>
  310.               <portSpacing port="sink_model" spacing="0"/>
  311.               <portSpacing port="sink_through 1" spacing="0"/>
  312.             </process>
  313.             <process expanded="true">
  314.               <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model-Stacking" width="90" x="45" y="30">
  315.                 <list key="application_parameters"/>
  316.               </operator>
  317.               <operator activated="true" class="performance_classification" compatibility="5.3.008" expanded="true" height="76" name="Performance-Stacking" width="90" x="179" y="30">
  318.                 <parameter key="classification_error" value="true"/>
  319.                 <list key="class_weights"/>
  320.               </operator>
  321.               <connect from_port="model" to_op="Apply Model-Stacking" to_port="model"/>
  322.               <connect from_port="test set" to_op="Apply Model-Stacking" to_port="unlabelled data"/>
  323.               <connect from_op="Apply Model-Stacking" from_port="labelled data" to_op="Performance-Stacking" to_port="labelled data"/>
  324.               <connect from_op="Performance-Stacking" from_port="performance" to_port="averagable 1"/>
  325.               <portSpacing port="source_model" spacing="0"/>
  326.               <portSpacing port="source_test set" spacing="0"/>
  327.               <portSpacing port="source_through 1" spacing="0"/>
  328.               <portSpacing port="sink_averagable 1" spacing="0"/>
  329.               <portSpacing port="sink_averagable 2" spacing="0"/>
  330.             </process>
  331.           </operator>
  332.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Stacking Performance" width="90" x="295" y="57">
  333.             <parameter key="name" value="Stacking Performance"/>
  334.             <parameter key="io_object" value="PerformanceVector"/>
  335.           </operator>
  336.           <operator activated="true" class="remember" compatibility="5.3.008" expanded="true" height="60" name="Remember-Stacking Model" width="90" x="295" y="30">
  337.             <parameter key="name" value="Stacking Model"/>
  338.             <parameter key="io_object" value="PredictionModel"/>
  339.           </operator>
  340.           <connect from_port="in 1" to_op="Validation-Stacking" to_port="training"/>
  341.           <connect from_op="Validation-Stacking" from_port="model" to_op="Remember-Stacking Model" to_port="store"/>
  342.           <connect from_op="Validation-Stacking" from_port="averagable 1" to_op="Remember-Stacking Performance" to_port="store"/>
  343.           <connect from_op="Remember-Stacking Performance" from_port="stored" to_port="out 2"/>
  344.           <connect from_op="Remember-Stacking Model" from_port="stored" to_port="out 1"/>
  345.           <portSpacing port="source_in 1" spacing="0"/>
  346.           <portSpacing port="source_in 2" spacing="0"/>
  347.           <portSpacing port="sink_out 1" spacing="0"/>
  348.           <portSpacing port="sink_out 2" spacing="0"/>
  349.           <portSpacing port="sink_out 3" spacing="0"/>
  350.         </process>
  351.       </operator>
  352.       <connect from_op="Retrieve" from_port="output" to_op="Normalize" to_port="example set input"/>
  353.       <connect from_op="Normalize" from_port="example set output" to_op="Loop Attributes" to_port="example set"/>
  354.       <connect from_op="Loop Attributes" from_port="example set" to_op="Multiple Imputation" to_port="input 1"/>
  355.       <connect from_op="Multiple Imputation" from_port="output 1" to_op="Set Role" to_port="example set input"/>
  356.       <connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/>
  357.       <connect from_op="Multiply" from_port="output 1" to_op="Base Learners" to_port="in 1"/>
  358.       <connect from_op="Multiply" from_port="output 2" to_op="Base Learners" to_port="in 2"/>
  359.       <connect from_op="Multiply" from_port="output 3" to_op="Base Learners" to_port="in 3"/>
  360.       <connect from_op="Multiply" from_port="output 4" to_op="Subprocess-Stacking" to_port="in 1"/>
  361.       <connect from_op="Base Learners" from_port="out 1" to_port="result 1"/>
  362.       <connect from_op="Base Learners" from_port="out 2" to_port="result 2"/>
  363.       <connect from_op="Base Learners" from_port="out 3" to_port="result 3"/>
  364.       <connect from_op="Base Learners" from_port="out 4" to_port="result 4"/>
  365.       <connect from_op="Base Learners" from_port="out 5" to_port="result 5"/>
  366.       <connect from_op="Base Learners" from_port="out 6" to_port="result 6"/>
  367.       <connect from_op="Subprocess-Stacking" from_port="out 1" to_port="result 7"/>
  368.       <connect from_op="Subprocess-Stacking" from_port="out 2" to_port="result 8"/>
  369.       <portSpacing port="source_input 1" spacing="0"/>
  370.       <portSpacing port="sink_result 1" spacing="0"/>
  371.       <portSpacing port="sink_result 2" spacing="0"/>
  372.       <portSpacing port="sink_result 3" spacing="0"/>
  373.       <portSpacing port="sink_result 4" spacing="0"/>
  374.       <portSpacing port="sink_result 5" spacing="0"/>
  375.       <portSpacing port="sink_result 6" spacing="0"/>
  376.       <portSpacing port="sink_result 7" spacing="0"/>
  377.       <portSpacing port="sink_result 8" spacing="0"/>
  378.       <portSpacing port="sink_result 9" spacing="0"/>
  379.     </process>
  380.   </operator>
  381. </process>
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