Hi all,
We are not able to see prediction probabilities/confidence in RapidMiner.
We have checked these at ExampleSet(Apply Model(2)) "Data View" in ApplyModel2 "lab" node.
Where else/how can we find those?
Below is the code.
Regards,
Nitin
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
<process expanded="true" height="332" width="480">
<operator activated="true" class="read_excel" compatibility="5.2.008" expanded="true" height="60" name="Read Excel" width="90" x="45" y="30">
<parameter key="excel_file" value="C:\Users\chin2\Desktop\472\GermanCredit.xls"/>
<parameter key="imported_cell_range" value="A1:AF1001"/>
<parameter key="first_row_as_names" value="false"/>
<list key="annotations">
<parameter key="0" value="Name"/>
</list>
<list key="data_set_meta_data_information">
<parameter key="0" value="OBS#.true.nominal.id"/>
<parameter key="1" value="CHK_ACCT.true.nominal.attribute"/>
<parameter key="2" value="DURATION.true.numeric.attribute"/>
<parameter key="3" value="HISTORY.true.nominal.attribute"/>
<parameter key="4" value="NEW_CAR.true.binominal.attribute"/>
<parameter key="5" value="USED_CAR.true.binominal.attribute"/>
<parameter key="6" value="FURNITURE.true.binominal.attribute"/>
<parameter key="7" value="RADIO/TV.true.binominal.attribute"/>
<parameter key="8" value="EDUCATION.true.binominal.attribute"/>
<parameter key="9" value="RETRAINING.true.binominal.attribute"/>
<parameter key="10" value="AMOUNT.true.numeric.attribute"/>
<parameter key="11" value="SAV_ACCT.true.nominal.attribute"/>
<parameter key="12" value="EMPLOYMENT.true.nominal.attribute"/>
<parameter key="13" value="INSTALL_RATE.true.numeric.attribute"/>
<parameter key="14" value="MALE_DIV.true.binominal.attribute"/>
<parameter key="15" value="MALE_SINGLE.true.binominal.attribute"/>
<parameter key="16" value="MALE_MAR_or_WID.true.binominal.attribute"/>
<parameter key="17" value="CO-APPLICANT.true.binominal.attribute"/>
<parameter key="18" value="GUARANTOR.true.binominal.attribute"/>
<parameter key="19" value="PRESENT_RESIDENT.true.nominal.attribute"/>
<parameter key="20" value="REAL_ESTATE.true.binominal.attribute"/>
<parameter key="21" value="PROP_UNKN_NONE.true.binominal.attribute"/>
<parameter key="22" value="AGE.true.numeric.attribute"/>
<parameter key="23" value="OTHER_INSTALL.true.binominal.attribute"/>
<parameter key="24" value="RENT.true.binominal.attribute"/>
<parameter key="25" value="OWN_RES.true.binominal.attribute"/>
<parameter key="26" value="NUM_CREDITS.true.numeric.attribute"/>
<parameter key="27" value="JOB.true.nominal.attribute"/>
<parameter key="28" value="NUM_DEPENDENTS.true.numeric.attribute"/>
<parameter key="29" value="TELEPHONE.true.binominal.attribute"/>
<parameter key="30" value="FOREIGN.true.binominal.attribute"/>
<parameter key="31" value="RESPONSE.true.binominal.label"/>
</list>
</operator>
<operator activated="true" class="split_validation" compatibility="5.2.008" expanded="true" height="130" name="Validation" width="90" x="313" y="30">
<parameter key="split_ratio" value="0.746"/>
<process expanded="true" height="413" width="346">
<operator activated="true" class="decision_tree" compatibility="5.2.008" expanded="true" height="76" name="Decision Tree" width="90" x="45" y="30">
<parameter key="criterion" value="gini_index"/>
<parameter key="minimal_size_for_split" value="2"/>
<parameter key="number_of_prepruning_alternatives" value="2"/>
</operator>
<operator activated="true" class="create_threshold" compatibility="5.2.008" expanded="true" height="60" name="Create Threshold" width="90" x="45" y="120">
<parameter key="first_class" value="0"/>
<parameter key="second_class" value="1"/>
</operator>
<operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model" width="90" x="179" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="apply_threshold" compatibility="5.2.008" expanded="true" height="76" name="Apply Threshold" width="90" x="179" y="165"/>
<operator activated="true" class="performance_binominal_classification" compatibility="5.2.008" expanded="true" height="76" name="Performance" width="90" x="45" y="300"/>
<connect from_port="training" to_op="Decision Tree" to_port="training set"/>
<connect from_op="Decision Tree" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Decision Tree" from_port="exampleSet" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Create Threshold" from_port="output" to_op="Apply Threshold" to_port="threshold"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Apply Threshold" to_port="example set"/>
<connect from_op="Apply Model" from_port="model" to_port="model"/>
<connect from_op="Apply Threshold" from_port="example set" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance" to_port="through 1"/>
<portSpacing port="source_training" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="252"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true" height="413" width="346">
<operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model (2)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="create_threshold" compatibility="5.2.008" expanded="true" height="60" name="Create Threshold (2)" width="90" x="45" y="255">
<parameter key="first_class" value="0"/>
<parameter key="second_class" value="1"/>
</operator>
<operator activated="true" class="apply_threshold" compatibility="5.2.008" expanded="true" height="76" name="Apply Threshold (2)" width="90" x="45" y="120"/>
<operator activated="true" class="performance_binominal_classification" compatibility="5.2.008" expanded="true" height="76" name="Performance (2)" width="90" x="179" y="300"/>
<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_port="through 1" to_port="averagable 2"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Apply Threshold (2)" to_port="example set"/>
<connect from_op="Create Threshold (2)" from_port="output" to_op="Apply Threshold (2)" to_port="threshold"/>
<connect from_op="Apply Threshold (2)" from_port="example set" 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"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="252"/>
<portSpacing port="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
<portSpacing port="sink_averagable 3" spacing="0"/>
</process>
</operator>
<connect from_op="Read Excel" from_port="output" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
<connect from_op="Validation" from_port="averagable 2" 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>
[ /code]
