Label the class

talhamahboob95

If target classes are more then one and want to label more then one class then what should i do?? there were four target variables. Hinselmann: target variable  Schiller: target variable  Cytology: target variable  Biopsy: target variable   Help me please.  

lionelderkrikor

Hi @talhamahboob95,

 

First,if you are new to RapidMiner, you can begin learning this software by seeing the training videos.

You have 4 target variables, so you need to create four modelling/validation (sub)processes.

Consider the target variable "Biopsy" : 

When we apply basically a Decision Tree to your data, we have an accuracy of 93 % but a Recall (for the class Biopsy = 1)  = 0 %.

It is often the case when we have unbalanced data (which is the case of your data) : 

I suppose in your case that you want to predict with the greatest precision Biopsy = 1, then you can sample your data.

After preprocessing your data like that, the global accuracy is less than the first case (53 %) but the Recall (for the class Biopsy = 1)

is significantly better (33%).

You can, of course, play with the parameters of operators of this process to improve its performances

 

You can now apply this methodology to the 3 other target variables.

 

I hope it helps,

 

Regards,

 

Lionel

 

NB : The process : 

<?xml version="1.0" encoding="UTF-8"?><process version="9.0.000-BETA">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.0.000-BETA" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="read_csv" compatibility="9.0.000-BETA" expanded="true" height="68" name="Read CSV" width="90" x="45" y="85">
        <parameter key="csv_file" value="C:\Users\Lionel\Documents\Formations_DataScience\Rapidminer\Tests_Rapidminer\Multiples_modelling_cancer\risk_factors_cervical_cancer.csv"/>
        <parameter key="column_separators" value=","/>
        <parameter key="skip_comments" value="true"/>
        <parameter key="date_format" value="MMM d, yyyy h:mm:ss a z"/>
        <list key="annotations"/>
        <parameter key="encoding" value="windows-1252"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="Age.true.integer.attribute"/>
          <parameter key="1" value="Number of sexual partners.true.polynominal.attribute"/>
          <parameter key="2" value="First sexual intercourse.true.polynominal.attribute"/>
          <parameter key="3" value="Num of pregnancies.true.polynominal.attribute"/>
          <parameter key="4" value="Smokes.true.polynominal.attribute"/>
          <parameter key="5" value="Smokes (years).true.polynominal.attribute"/>
          <parameter key="6" value="Smokes (packs/year).true.polynominal.attribute"/>
          <parameter key="7" value="Hormonal Contraceptives.true.polynominal.attribute"/>
          <parameter key="8" value="Hormonal Contraceptives (years).true.polynominal.attribute"/>
          <parameter key="9" value="IUD.true.polynominal.attribute"/>
          <parameter key="10" value="IUD (years).true.polynominal.attribute"/>
          <parameter key="11" value="STDs.true.polynominal.attribute"/>
          <parameter key="12" value="STDs (number).true.polynominal.attribute"/>
          <parameter key="13" value="STDs:condylomatosis.true.polynominal.attribute"/>
          <parameter key="14" value="STDs:cervical condylomatosis.true.polynominal.attribute"/>
          <parameter key="15" value="STDs:vaginal condylomatosis.true.polynominal.attribute"/>
          <parameter key="16" value="STDs:vulvo-perineal condylomatosis.true.polynominal.attribute"/>
          <parameter key="17" value="STDs:syphilis.true.polynominal.attribute"/>
          <parameter key="18" value="STDs:pelvic inflammatory disease.true.polynominal.attribute"/>
          <parameter key="19" value="STDs:genital herpes.true.polynominal.attribute"/>
          <parameter key="20" value="STDs:molluscum contagiosum.true.polynominal.attribute"/>
          <parameter key="21" value="STDs:AIDS.true.polynominal.attribute"/>
          <parameter key="22" value="STDs:HIV.true.polynominal.attribute"/>
          <parameter key="23" value="STDs:Hepatitis B.true.polynominal.attribute"/>
          <parameter key="24" value="STDs:HPV.true.polynominal.attribute"/>
          <parameter key="25" value="STDs: Number of diagnosis.true.integer.attribute"/>
          <parameter key="26" value="STDs: Time since first diagnosis.true.polynominal.attribute"/>
          <parameter key="27" value="STDs: Time since last diagnosis.true.polynominal.attribute"/>
          <parameter key="28" value="Dx:Cancer.true.integer.attribute"/>
          <parameter key="29" value="Dx:CIN.true.integer.attribute"/>
          <parameter key="30" value="Dx:HPV.true.integer.attribute"/>
          <parameter key="31" value="Dx.true.integer.attribute"/>
          <parameter key="32" value="Hinselmann.true.integer.attribute"/>
          <parameter key="33" value="Schiller.true.integer.attribute"/>
          <parameter key="34" value="Citology.true.integer.attribute"/>
          <parameter key="35" value="Biopsy.true.integer.attribute"/>
        </list>
        <parameter key="read_not_matching_values_as_missings" value="false"/>
      </operator>
      <operator activated="true" class="select_attributes" compatibility="9.0.000-BETA" expanded="true" height="82" name="Select Attributes" width="90" x="179" y="85">
        <parameter key="attribute_filter_type" value="subset"/>
        <parameter key="attributes" value="Citology|Hinselmann|Schiller"/>
        <parameter key="invert_selection" value="true"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="9.0.000-BETA" expanded="true" height="82" name="Set Role" width="90" x="313" y="85">
        <parameter key="attribute_name" value="Biopsy"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="numerical_to_polynominal" compatibility="9.0.000-BETA" expanded="true" height="82" name="Numerical to Polynominal" width="90" x="447" y="85">
        <parameter key="attribute_filter_type" value="single"/>
        <parameter key="attribute" value="Biopsy"/>
        <parameter key="include_special_attributes" value="true"/>
      </operator>
      <operator activated="true" class="sample" compatibility="9.0.000-BETA" expanded="true" height="82" name="Sample" width="90" x="581" y="85">
        <parameter key="balance_data" value="true"/>
        <parameter key="sample_size" value="-1"/>
        <list key="sample_size_per_class">
          <parameter key="0" value="55"/>
          <parameter key="1" value="55"/>
        </list>
        <list key="sample_ratio_per_class"/>
        <list key="sample_probability_per_class"/>
      </operator>
      <operator activated="true" class="concurrency:cross_validation" compatibility="9.0.000-BETA" expanded="true" height="145" name="Cross Validation" width="90" x="715" y="85">
        <process expanded="true">
          <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="9.0.000-BETA" expanded="true" height="103" name="Decision Tree" width="90" x="179" y="34"/>
          <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="9.0.000-BETA" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="9.0.000-BETA" expanded="true" height="82" name="Performance" width="90" x="246" y="34">
            <parameter key="weighted_mean_recall" value="true"/>
            <list key="class_weights"/>
          </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"/>
          <connect from_op="Performance" from_port="example set" to_port="test set results"/>
          <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="Select Attributes" to_port="example set input"/>
      <connect from_op="Select Attributes" from_port="example set output" 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="Sample" to_port="example set input"/>
      <connect from_op="Sample" from_port="example set output" to_op="Cross Validation" to_port="example set"/>
      <connect from_op="Cross Validation" from_port="model" to_port="result 2"/>
      <connect from_op="Cross Validation" from_port="example set" to_port="result 1"/>
      <connect from_op="Cross Validation" from_port="test result set" to_port="result 3"/>
      <connect from_op="Cross Validation" from_port="performance 1" to_port="result 4"/>
      <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"/>
      <portSpacing port="sink_result 4" spacing="0"/>
      <portSpacing port="sink_result 5" spacing="0"/>
    </process>
  </operator>
</process>

Multiples_modelling_cancer.png