Hi,
I have just started testing rapidminer for my own use and when writing some performance output I ran into a problem. I don't seem to be able to read any of the results file generated back into RapidMiner (nor via the GUI or via PerformanceReader).
Any clue?
One example result is here:
<object-stream>
<PerformanceVector id="1" serialization="custom">
<com.rapidminer.operator.AbstractIOObject>
<default>
<source>Performance</source>
</default>
</com.rapidminer.operator.AbstractIOObject>
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="2">
<keyValueMap id="3"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<AverageVector>
<default>
<averagesList id="4">
<kappa id="5" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="6">
<keyValueMap id="7"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<kappa>
<default>
<type>0</type>
<classNameMap id="8">
<entry>
<string>yes</string>
<int>0</int>
</entry>
<entry>
<string>no</string>
<int>1</int>
</entry>
</classNameMap>
<classNames id="9">
<string>yes</string>
<string>no</string>
</classNames>
<counter id="10">
<double-array id="11">
<double>1.0</double>
<double>0.0</double>
</double-array>
<double-array id="12">
<double>0.0</double>
<double>0.0</double>
</double-array>
</counter>
<labelAttribute class="PolynominalAttribute" id="13" serialization="custom">
<com.rapidminer.example.table.AbstractAttribute>
<default>
<annotations id="14">
<keyValueMap id="15"/>
</annotations>
<attributeDescription id="16">
<name>IBD</name>
<valueType>1</valueType>
<blockType>1</blockType>
<defaultValue>0.0</defaultValue>
<index>5887</index>
</attributeDescription>
<constructionDescription>gensym</constructionDescription>
<statistics class="linked-list" id="17">
<NominalStatistics id="18">
<mode>0</mode>
<maxCounter>1</maxCounter>
<scores id="19">
<long>1</long>
<long>0</long>
</scores>
</NominalStatistics>
<UnknownStatistics id="20">
<unknownCounter>0</unknownCounter>
</UnknownStatistics>
</statistics>
<transformations id="21"/>
</default>
</com.rapidminer.example.table.AbstractAttribute>
<PolynominalAttribute>
<default>
<nominalMapping class="PolynominalMapping" id="22">
<symbolToIndexMap id="23">
<entry>
<string>yes</string>
<int>0</int>
</entry>
<entry>
<string>no</string>
<int>1</int>
</entry>
</symbolToIndexMap>
<indexToSymbolMap id="24">
<string>yes</string>
<string>no</string>
</indexToSymbolMap>
</nominalMapping>
</default>
</PolynominalAttribute>
</labelAttribute>
<predictedLabelAttribute class="PolynominalAttribute" id="25" serialization="custom">
<com.rapidminer.example.table.AbstractAttribute>
<default>
<annotations id="26">
<keyValueMap id="27"/>
</annotations>
<attributeDescription id="28">
<name>prediction(IBD)</name>
<valueType>1</valueType>
<blockType>1</blockType>
<defaultValue>0.0</defaultValue>
<index>5888</index>
</attributeDescription>
<constructionDescription>prediction(IBD)</constructionDescription>
<statistics class="linked-list" id="29">
<NominalStatistics id="30">
<mode>0</mode>
<maxCounter>1</maxCounter>
<scores id="31">
<long>1</long>
<long>0</long>
</scores>
</NominalStatistics>
<UnknownStatistics id="32">
<unknownCounter>0</unknownCounter>
</UnknownStatistics>
</statistics>
<transformations id="33"/>
</default>
</com.rapidminer.example.table.AbstractAttribute>
<PolynominalAttribute>
<default>
<nominalMapping class="PolynominalMapping" reference="22"/>
</default>
</PolynominalAttribute>
</predictedLabelAttribute>
</default>
</kappa>
</kappa>
<psep id="34" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="35">
<keyValueMap id="36"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<psep>
<default>
<type>0</type>
<counter id="37">
<double-array id="38">
<double>1.0</double>
<double>0.0</double>
</double-array>
<double-array id="39">
<double>0.0</double>
<double>0.0</double>
</double-array>
</counter>
<labelAttribute class="PolynominalAttribute" reference="13"/>
<negativeClassName>yes</negativeClassName>
<positiveClassName>no</positiveClassName>
<predictedLabelAttribute class="PolynominalAttribute" reference="25"/>
</default>
</psep>
</psep>
<psep id="40" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="41">
<keyValueMap id="42"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<psep>
<default>
<type>1</type>
<counter id="43">
<double-array id="44">
<double>1.0</double>
<double>0.0</double>
</double-array>
<double-array id="45">
<double>0.0</double>
<double>0.0</double>
</double-array>
</counter>
<labelAttribute class="PolynominalAttribute" reference="13"/>
<negativeClassName>yes</negativeClassName>
<positiveClassName>no</positiveClassName>
<predictedLabelAttribute class="PolynominalAttribute" reference="25"/>
</default>
</psep>
</psep>
<AUC (optimistic) id="46" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="47">
<keyValueMap id="48"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<AUC (optimistic)>
<default>
<auc>0.5</auc>
<counter>1</counter>
<method id="49">OPTIMISTIC</method>
<positiveClass>no</positiveClass>
<rocData id="50">
<com.rapidminer.tools.math.ROCData id="51">
<points id="52">
<com.rapidminer.tools.math.ROCPoint id="53">
<falsePositives>0.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>1.0</confidence>
</com.rapidminer.tools.math.ROCPoint>
<com.rapidminer.tools.math.ROCPoint id="54">
<falsePositives>1.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>0.5</confidence>
</com.rapidminer.tools.math.ROCPoint>
</points>
<sumPos>0.0</sumPos>
<sumNeg>1.0</sumNeg>
<bestIsometricsTP>NaN</bestIsometricsTP>
</com.rapidminer.tools.math.ROCData>
</rocData>
</default>
</AUC (optimistic)>
</AUC (optimistic)>
<AUC (optimistic) id="55" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="56">
<keyValueMap id="57"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<AUC (optimistic)>
<default>
<auc>0.5</auc>
<counter>1</counter>
<method id="58">NEUTRAL</method>
<positiveClass>no</positiveClass>
<rocData id="59">
<com.rapidminer.tools.math.ROCData id="60">
<points id="61">
<com.rapidminer.tools.math.ROCPoint id="62">
<falsePositives>0.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>1.0</confidence>
</com.rapidminer.tools.math.ROCPoint>
<com.rapidminer.tools.math.ROCPoint id="63">
<falsePositives>1.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>0.5</confidence>
</com.rapidminer.tools.math.ROCPoint>
</points>
<sumPos>0.0</sumPos>
<sumNeg>1.0</sumNeg>
<bestIsometricsTP>NaN</bestIsometricsTP>
</com.rapidminer.tools.math.ROCData>
</rocData>
</default>
</AUC (optimistic)>
</AUC (optimistic)>
<AUC (optimistic) id="64" serialization="custom">
<com.rapidminer.operator.ResultObjectAdapter>
<default>
<annotations id="65">
<keyValueMap id="66"/>
</annotations>
</default>
</com.rapidminer.operator.ResultObjectAdapter>
<com.rapidminer.tools.math.Averagable>
<default>
<averageCount>0</averageCount>
<meanSquaredSum>NaN</meanSquaredSum>
<meanSum>NaN</meanSum>
</default>
</com.rapidminer.tools.math.Averagable>
<AUC (optimistic)>
<default>
<auc>0.5</auc>
<counter>1</counter>
<method id="67">PESSIMISTIC</method>
<positiveClass>no</positiveClass>
<rocData id="68">
<com.rapidminer.tools.math.ROCData id="69">
<points id="70">
<com.rapidminer.tools.math.ROCPoint id="71">
<falsePositives>0.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>1.0</confidence>
</com.rapidminer.tools.math.ROCPoint>
<com.rapidminer.tools.math.ROCPoint id="72">
<falsePositives>1.0</falsePositives>
<truePositives>0.0</truePositives>
<confidence>0.5</confidence>
</com.rapidminer.tools.math.ROCPoint>
</points>
<sumPos>0.0</sumPos>
<sumNeg>1.0</sumNeg>
<bestIsometricsTP>NaN</bestIsometricsTP>
</com.rapidminer.tools.math.ROCData>
</rocData>
</default>
</AUC (optimistic)>
</AUC (optimistic)>
</averagesList>
</default>
</AverageVector>
<PerformanceVector>
<default>
<comparator class="com.rapidminer.operator.performance.PerformanceVector$DefaultComparator" id="73"/>
<currentValues id="74">
<entry>
<string>precision</string>
<double>NaN</double>
</entry>
<entry>
<string>AUC</string>
<double>0.5</double>
</entry>
<entry>
<string>recall</string>
<double>NaN</double>
</entry>
<entry>
<string>AUC (pessimistic)</string>
<double>0.5</double>
</entry>
<entry>
<string>AUC (optimistic)</string>
<double>0.5</double>
</entry>
<entry>
<string>accuracy</string>
<double>1.0</double>
</entry>
</currentValues>
</default>
</PerformanceVector>
</PerformanceVector>
</object-stream>