"Bug in Binary2MultiClassLearner Output Display"

Hi,
could you post your process here, after having exchanged the data source operator by an example Set generator?
Then I would take a look at the problem.


Greetings,
Sebastian

Hi Sebastian,

I apologize for taking so long to reply. Here is the process file that I use for text mining, unfortunately I don't know how to replace it with the equivalent example set generator.

It is not really a problem because the model generated classifies my input texts correctly. I just noticed that the Binary2Multiclass output window show interchanged labels (x vs all other, y vs all other, etc) and thought that this could be a bug.

thanks,
Matthew

<operator name="Root" class="Process" expanded="yes">
    <operator name="FeatureExtraction" class="FeatureExtraction">
        <list key="texts">
          <parameter key="ADC"	value="../01 Data/Model Patents/ADC"/>
          <parameter key="DAC"	value="../01 Data/Model Patents/DAC"/>
          <parameter key="Supply"	value="../01 Data/Model Patents/Supply"/>
          <parameter key="ESD"	value="../01 Data/Model Patents/ESD"/>
          <parameter key="IO"	value="../01 Data/Model Patents/IO"/>
          <parameter key="Non_Volatile"	value="../01 Data/Model Patents/Flash"/>
          <parameter key="PLL"	value="../01 Data/Model Patents/PLL"/>
          <parameter key="DLL"	value="../01 Data/Model Patents/DLL"/>
          <parameter key="Process"	value="../01 Data/Model Patents/Process"/>
          <parameter key="Package"	value="../01 Data/Model Patents/Package"/>
          <parameter key="Amplifer"	value="../01 Data/Model Patents/Amplifier"/>
          <parameter key="MEMS"	value="../01 Data/Model Patents/MEMS"/>
          <parameter key="Optoelectronics"	value="../01 Data/Model Patents/Optoelectronics"/>
        </list>
        <parameter key="id_attribute_type"	value="short"/>
        <list key="attributes">
          <parameter key="XTitle"	value="//x:title[@language=&amp;#39;en&#39;]/text()"/>
          <parameter key="XAbstract"	value="//x:abstract/x:paragraph/text()"/>
        </list>
        <list key="namespaces">
          <parameter key="x"	value="http://schemas.delphion.com/20031014/ippublication"/>
        </list>
    </operator>
    <operator name="Nominal2String" class="Nominal2String">
    </operator>
    <operator name="StringTextInput" class="StringTextInput" expanded="no">
        <parameter key="remove_original_attributes"	value="true"/>
        <parameter key="id_attribute_type"	value="short"/>
        <list key="namespaces">
        </list>
        <operator name="StringTokenizer" class="StringTokenizer">
        </operator>
        <operator name="EnglishStopwordFilter" class="EnglishStopwordFilter">
        </operator>
        <operator name="TokenLengthFilter" class="TokenLengthFilter">
            <parameter key="min_chars"	value="2"/>
            <parameter key="max_chars"	value="15"/>
        </operator>
        <operator name="PorterStemmer" class="PorterStemmer">
        </operator>
    </operator>
    <operator name="SVMWeighting" class="SVMWeighting">
    </operator>
    <operator name="AttributeWeightSelection" class="AttributeWeightSelection">
        <parameter key="weight_relation"	value="top k"/>
        <parameter key="k"	value="500"/>
    </operator>
    <operator name="ExampleSet2AttributeWeights" class="ExampleSet2AttributeWeights">
    </operator>
    <operator name="AttributeWeightsWriter" class="AttributeWeightsWriter">
        <parameter key="attribute_weights_file"	value="%{process_name}_AttrWeight.wgt"/>
    </operator>
    <operator name="Binary2MultiClassLearner" class="Binary2MultiClassLearner" expanded="yes">
        <operator name="Weighted Class" class="LibSVMLearner">
            <parameter key="kernel_type"	value="linear"/>
            <parameter key="C"	value="10.0"/>
            <list key="class_weights">
              <parameter key="Clocking"	value="2.0"/>
              <parameter key="Memory"	value="2.0"/>
              <parameter key="Converter"	value="2.0"/>
              <parameter key="Process"	value="3.0"/>
              <parameter key="Package"	value="3.0"/>
              <parameter key="IO"	value="2.0"/>
              <parameter key="ESD"	value="2.0"/>
              <parameter key="Supply"	value="2.0"/>
            </list>
            <parameter key="calculate_confidences"	value="true"/>
        </operator>
    </operator>
    <operator name="ModelWriter" class="ModelWriter">
        <parameter key="model_file"	value="%{process_name}_Model.mod"/>
        <parameter key="output_type"	value="XML"/>
    </operator>
</operator>

Hi,
where's the interchange in these titles? The binary to multiclass learner does learn each class against all others. So for each class there's a tab.
I don't see the problem here.

Greetings,
  Sebastian

Hi,

I'll try to illustrate the problem here.

X vs all other            Y vs all other          Z vs all other
Aattr1                                Battr1                        Cattr1
Aattr2                                Battr2                        Cattr2
Aattr3                                Battr3                        Cattr3
Aattr4                                Battr4                        Cattr4
...                                        ....                              ....

Each column is the tab. In each tab I clicked on the Weight Table View and sort (descending) by Weight to see the top attributes for each tab. But when I analyzed the top attributes for one tab, I think those attributes belong to the next tab. For the example above, the attributes Aattr should belong to the Y tab, and the Battr should belong to the Z tab.

Is this one clear enough. As I've said, I think this is just on the display since I am still getting correct classification.

thanks,

Hi,
now I understand what you mean. I have checked this, but the error you describe is simply impossible, so I guess you have to reinterpret your results If you check the text view, you will see, that these weights are connected to the class shown in the tab and are the same as on the weights table view.

Greetings,
  Sebastian