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Prediction for a model

induindu Member Posts: 9 Newbie
in Help
I checked your two datasets X and Y, both have "Class" attribute. This class has labels "0" and "1". I want to combine these two datasets and make predictions as a single model. Can someone share the steps for this task.  

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    induindu Member Posts: 9 Newbie
    Solution Accepted
    Ok i Got the results...thank you very much for the reply.

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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    Hi @indu,

    mmhh...  I don't understand what you want to do...
    In order we can help you, can you describe what you have and what you want to obtain.
    Please share your data...

    Regards,

    Lionel
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    induindu Member Posts: 9 Newbie
    I want to combine these two datasets and make predictions as a single model. Please advise. 
     
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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    @indu,
    It's very easy : 

    Use an Append operator to combine the 2 datasets.

    Here a sample process with your 2 combined datasets including a X-validation with a Decision Tree : 

    <?xml version="1.0" encoding="UTF-8"?><process version="9.5.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.5.000" 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="read_csv" compatibility="9.5.000" expanded="true" height="68" name="Read CSV" width="90" x="112" y="85">
        <parameter key="csv_file" value="C:\Users\Lionel\Downloads\aa_counts_dna.csv"/>
        <parameter key="column_separators" value=","/>
        <parameter key="trim_lines" value="false"/>
        <parameter key="use_quotes" value="true"/>
        <parameter key="quotes_character" value="&quot;"/>
        <parameter key="escape_character" value="\"/>
        <parameter key="skip_comments" value="true"/>
        <parameter key="comment_characters" value="#"/>
        <parameter key="starting_row" value="1"/>
        <parameter key="parse_numbers" value="true"/>
        <parameter key="decimal_character" value="."/>
        <parameter key="grouped_digits" value="false"/>
        <parameter key="grouping_character" value=","/>
        <parameter key="infinity_representation" value=""/>
        <parameter key="date_format" value=""/>
        <parameter key="first_row_as_names" value="true"/>
        <list key="annotations"/>
        <parameter key="time_zone" value="SYSTEM"/>
        <parameter key="locale" value="English (United States)"/>
        <parameter key="encoding" value="windows-1252"/>
        <parameter key="read_all_values_as_polynominal" value="false"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="G.true.real.attribute"/>
          <parameter key="1" value="P.true.real.attribute"/>
          <parameter key="2" value="A.true.real.attribute"/>
          <parameter key="3" value="V.true.real.attribute"/>
          <parameter key="4" value="L.true.real.attribute"/>
          <parameter key="5" value="I.true.real.attribute"/>
          <parameter key="6" value="M.true.real.attribute"/>
          <parameter key="7" value="C.true.real.attribute"/>
          <parameter key="8" value="F.true.real.attribute"/>
          <parameter key="9" value="Y.true.real.attribute"/>
          <parameter key="10" value="W.true.real.attribute"/>
          <parameter key="11" value="H.true.real.attribute"/>
          <parameter key="12" value="K.true.real.attribute"/>
          <parameter key="13" value="R.true.real.attribute"/>
          <parameter key="14" value="Q.true.real.attribute"/>
          <parameter key="15" value="N.true.real.attribute"/>
          <parameter key="16" value="E.true.real.attribute"/>
          <parameter key="17" value="D.true.real.attribute"/>
          <parameter key="18" value="S.true.real.attribute"/>
          <parameter key="19" value="T.true.real.attribute"/>
          <parameter key="20" value="Class.true.integer.attribute"/>
        </list>
        <parameter key="read_not_matching_values_as_missings" value="false"/>
        <parameter key="datamanagement" value="double_array"/>
        <parameter key="data_management" value="auto"/>
      </operator>
      <operator activated="true" class="read_csv" compatibility="9.5.000" expanded="true" height="68" name="Read CSV (2)" width="90" x="112" y="238">
        <parameter key="csv_file" value="C:\Users\Lionel\Downloads\aa_counts_rna.csv"/>
        <parameter key="column_separators" value=","/>
        <parameter key="trim_lines" value="false"/>
        <parameter key="use_quotes" value="true"/>
        <parameter key="quotes_character" value="&quot;"/>
        <parameter key="escape_character" value="\"/>
        <parameter key="skip_comments" value="true"/>
        <parameter key="comment_characters" value="#"/>
        <parameter key="starting_row" value="1"/>
        <parameter key="parse_numbers" value="true"/>
        <parameter key="decimal_character" value="."/>
        <parameter key="grouped_digits" value="false"/>
        <parameter key="grouping_character" value=","/>
        <parameter key="infinity_representation" value=""/>
        <parameter key="date_format" value=""/>
        <parameter key="first_row_as_names" value="true"/>
        <list key="annotations"/>
        <parameter key="time_zone" value="SYSTEM"/>
        <parameter key="locale" value="English (United States)"/>
        <parameter key="encoding" value="windows-1252"/>
        <parameter key="read_all_values_as_polynominal" value="false"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="G.true.real.attribute"/>
          <parameter key="1" value="P.true.real.attribute"/>
          <parameter key="2" value="A.true.real.attribute"/>
          <parameter key="3" value="V.true.real.attribute"/>
          <parameter key="4" value="L.true.real.attribute"/>
          <parameter key="5" value="I.true.real.attribute"/>
          <parameter key="6" value="M.true.real.attribute"/>
          <parameter key="7" value="C.true.real.attribute"/>
          <parameter key="8" value="F.true.real.attribute"/>
          <parameter key="9" value="Y.true.real.attribute"/>
          <parameter key="10" value="W.true.real.attribute"/>
          <parameter key="11" value="H.true.real.attribute"/>
          <parameter key="12" value="K.true.real.attribute"/>
          <parameter key="13" value="R.true.real.attribute"/>
          <parameter key="14" value="Q.true.real.attribute"/>
          <parameter key="15" value="N.true.real.attribute"/>
          <parameter key="16" value="E.true.real.attribute"/>
          <parameter key="17" value="D.true.real.attribute"/>
          <parameter key="18" value="S.true.real.attribute"/>
          <parameter key="19" value="T.true.real.attribute"/>
          <parameter key="20" value="Class.true.integer.attribute"/>
        </list>
        <parameter key="read_not_matching_values_as_missings" value="false"/>
        <parameter key="datamanagement" value="double_array"/>
        <parameter key="data_management" value="auto"/>
      </operator>
      <operator activated="true" class="append" compatibility="9.5.000" expanded="true" height="103" name="Append" width="90" x="313" y="85">
        <parameter key="datamanagement" value="double_array"/>
        <parameter key="data_management" value="auto"/>
        <parameter key="merge_type" value="all"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="9.5.000" expanded="true" height="82" name="Set Role" width="90" x="447" y="85">
        <parameter key="attribute_name" value="Class"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="numerical_to_polynominal" compatibility="9.5.000" expanded="true" height="82" name="Numerical to Polynominal" width="90" x="581" y="85">
        <parameter key="attribute_filter_type" value="single"/>
        <parameter key="attribute" value="Class"/>
        <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="true"/>
      </operator>
      <operator activated="true" class="concurrency:cross_validation" compatibility="9.5.000" expanded="true" height="145" name="Cross Validation" width="90" x="715" y="85">
        <parameter key="split_on_batch_attribute" value="false"/>
        <parameter key="leave_one_out" value="false"/>
        <parameter key="number_of_folds" value="10"/>
        <parameter key="sampling_type" value="automatic"/>
        <parameter key="use_local_random_seed" value="false"/>
        <parameter key="local_random_seed" value="1992"/>
        <parameter key="enable_parallel_execution" value="true"/>
        <process expanded="true">
          <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="9.5.000" expanded="true" height="103" name="Decision Tree" width="90" x="112" y="34">
            <parameter key="criterion" value="gain_ratio"/>
            <parameter key="maximal_depth" value="10"/>
            <parameter key="apply_pruning" value="true"/>
            <parameter key="confidence" value="0.1"/>
            <parameter key="apply_prepruning" value="true"/>
            <parameter key="minimal_gain" value="0.01"/>
            <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="training set" to_op="Decision Tree" to_port="training set"/>
          <connect from_op="Decision Tree" from_port="model" to_port="model"/>
          <portSpacing port="source_training set" 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="9.5.000" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
            <list key="application_parameters"/>
            <parameter key="create_view" value="false"/>
          </operator>
          <operator activated="true" class="performance_binominal_classification" compatibility="9.5.000" expanded="true" height="82" name="Performance" width="90" x="179" y="34">
            <parameter key="manually_set_positive_class" value="false"/>
            <parameter key="main_criterion" value="first"/>
            <parameter key="accuracy" value="true"/>
            <parameter key="classification_error" value="false"/>
            <parameter key="kappa" value="false"/>
            <parameter key="AUC (optimistic)" value="false"/>
            <parameter key="AUC" value="false"/>
            <parameter key="AUC (pessimistic)" value="false"/>
            <parameter key="precision" value="false"/>
            <parameter key="recall" value="false"/>
            <parameter key="lift" value="false"/>
            <parameter key="fallout" value="false"/>
            <parameter key="f_measure" value="false"/>
            <parameter key="false_positive" value="false"/>
            <parameter key="false_negative" value="false"/>
            <parameter key="true_positive" value="false"/>
            <parameter key="true_negative" value="false"/>
            <parameter key="sensitivity" value="false"/>
            <parameter key="specificity" value="false"/>
            <parameter key="youden" value="false"/>
            <parameter key="positive_predictive_value" value="false"/>
            <parameter key="negative_predictive_value" value="false"/>
            <parameter key="psep" value="false"/>
            <parameter key="skip_undefined_labels" value="true"/>
            <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="performance 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_test set results" spacing="0"/>
          <portSpacing port="sink_performance 1" spacing="0"/>
          <portSpacing port="sink_performance 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Read CSV" from_port="output" to_op="Append" to_port="example set 1"/>
      <connect from_op="Read CSV (2)" from_port="output" to_op="Append" to_port="example set 2"/>
      <connect from_op="Append" from_port="merged set" to_op="Set Role" to_port="example set input"/>
      <connect from_op="Set Role" from_port="example set output" to_op="Numerical to Polynominal" to_port="example set input"/>
      <connect from_op="Numerical to Polynominal" from_port="example set output" to_op="Cross Validation" to_port="example set"/>
      <connect from_op="Cross Validation" from_port="example set" to_port="result 1"/>
      <connect from_op="Cross Validation" from_port="performance 1" 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>
    Hope this helps,

    Regards,

    Lionel



  • Options
    induindu Member Posts: 9 Newbie
    when i split the data, i get some errors. please use the process attached below. 
  • Options
    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    @indu

    You don't set the parameters of the Split Data operators, that's why RM is raising an error.
    I must admit that I don't understand what you want to do with these Split Data operators...

    Please use the working process I shared in my last post.

    Regards,

    Lionel
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