Hi
Please check the process bellow.
Looking at the accuracy you can see that the "true no" column sums up to 5 but if you check the sensitivity, specificity, or f-measure it sums up to 9.
It looks that the data is not remapped in the confusion matrix when the accuracy is shown.
Another thing is, I have used the original port from "remap binomials" component which should provide me the original not remapped data output was remapped for measures other than accuracy
<?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="Root">
<description></description>
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.015" expanded="true" height="60" name="Retrieve" width="90" x="45" y="30">
<parameter key="repository_entry" value="../../data/Golf"/>
</operator>
<operator activated="true" class="nominal_to_binominal" compatibility="5.3.015" expanded="true" height="94" name="Nominal to Binominal" width="90" x="179" y="120">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Play"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
<operator activated="true" class="retrieve" compatibility="5.3.015" expanded="true" height="60" name="Retrieve Golf-Testset" width="90" x="246" y="435">
<parameter key="repository_entry" value="../../data/Golf-Testset"/>
</operator>
<operator activated="true" class="nominal_to_binominal" compatibility="5.3.015" expanded="true" height="94" name="Nominal to Binominal (2)" width="90" x="447" y="300">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Play"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
<operator activated="true" class="remap_binominals" compatibility="5.3.015" expanded="true" height="76" name="Remap Binominals" width="90" x="313" y="165">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Play"/>
<parameter key="include_special_attributes" value="true"/>
<parameter key="negative_value" value="yes"/>
<parameter key="positive_value" value="no"/>
</operator>
<operator activated="true" class="decision_tree" compatibility="5.3.015" expanded="true" height="76" name="DecisionTree" width="90" x="380" y="30"/>
<operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model" width="90" x="648" y="120">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_binominal_classification" compatibility="5.3.015" expanded="true" height="76" name="Performance" width="90" x="849" y="120">
<parameter key="f_measure" value="true"/>
<parameter key="sensitivity" value="true"/>
<parameter key="specificity" value="true"/>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Nominal to Binominal" to_port="example set input"/>
<connect from_op="Nominal to Binominal" from_port="example set output" to_op="Remap Binominals" to_port="example set input"/>
<connect from_op="Retrieve Golf-Testset" from_port="output" to_op="Nominal to Binominal (2)" to_port="example set input"/>
<connect from_op="Nominal to Binominal (2)" from_port="example set output" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Remap Binominals" from_port="example set output" to_op="DecisionTree" to_port="training set"/>
<connect from_op="DecisionTree" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Apply Model" from_port="model" to_port="result 2"/>
<connect from_op="Performance" from_port="performance" to_port="result 1"/>
<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>
