Just like with Cross Validation and using performance, we get ROC curves with TPR, FPR, how can we get the Precision,Recall curves? I dont want the average precision and recall, but curves for each fold. Can anyone suggest, please
Thanks
uday
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.1.001" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<parameter key="parallelize_main_process" value="false"/>
<process expanded="true" height="500" width="752">
<operator activated="true" class="retrieve" compatibility="5.1.001" expanded="true" height="60" name="Retrieve" width="90" x="17" y="58">
<parameter key="repository_entry" value="Acceptor3KData"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.1.001" expanded="true" height="76" name="Set Role" width="90" x="112" y="165">
<parameter key="name" value="class"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="replace" compatibility="5.1.001" expanded="true" height="76" name="Replace" width="90" x="313" y="210">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="class"/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="true"/>
<parameter key="replace_what" value="[0]"/>
<parameter key="replace_by" value="1"/>
</operator>
<operator activated="true" class="x_validation" compatibility="5.1.001" expanded="true" height="130" name="Validation" width="90" x="447" y="75">
<parameter key="create_complete_model" value="false"/>
<parameter key="average_performances_only" value="false"/>
<parameter key="leave_one_out" value="false"/>
<parameter key="number_of_validations" value="5"/>
<parameter key="sampling_type" value="stratified sampling"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
<parameter key="parallelize_training" value="false"/>
<parameter key="parallelize_testing" value="false"/>
<process expanded="true" height="500" width="351">
<operator activated="true" class="fast_large_margin" compatibility="5.1.001" expanded="true" height="76" name="Fast Large Margin" width="90" x="130" y="110">
<parameter key="solver" value="L2 SVM Dual"/>
<parameter key="C" value="1.0"/>
<parameter key="epsilon" value="0.01"/>
<list key="class_weights"/>
<parameter key="use_bias" value="true"/>
</operator>
<connect from_port="training" to_op="Fast Large Margin" to_port="training set"/>
<connect from_op="Fast Large Margin" from_port="model" to_port="model"/>
<portSpacing port="source_training" spacing="108"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
</process>
<process expanded="true" height="500" width="351">
<operator activated="true" class="apply_model" compatibility="5.1.001" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
<parameter key="create_view" value="false"/>
</operator>
<operator activated="true" class="performance_binominal_classification" compatibility="5.1.001" expanded="true" height="76" name="Performance" width="90" x="179" y="30">
<parameter key="main_criterion" value="accuracy"/>
<parameter key="accuracy" value="true"/>
<parameter key="classification_error" value="true"/>
<parameter key="kappa" value="true"/>
<parameter key="AUC (optimistic)" value="true"/>
<parameter key="AUC" value="true"/>
<parameter key="AUC (pessimistic)" value="true"/>
<parameter key="precision" value="true"/>
<parameter key="recall" value="true"/>
<parameter key="lift" value="false"/>
<parameter key="fallout" value="false"/>
<parameter key="f_measure" value="true"/>
<parameter key="false_positive" value="true"/>
<parameter key="false_negative" value="true"/>
<parameter key="true_positive" value="true"/>
<parameter key="true_negative" value="true"/>
<parameter key="sensitivity" value="true"/>
<parameter key="specificity" value="true"/>
<parameter key="youden" value="false"/>
<parameter key="positive_predictive_value" value="true"/>
<parameter key="negative_predictive_value" value="true"/>
<parameter key="psep" value="false"/>
<parameter key="skip_undefined_labels" value="true"/>
<parameter key="use_example_weights" value="true"/>
</operator>
<operator activated="true" class="log" compatibility="5.1.001" expanded="true" height="76" name="Log" width="90" x="179" y="165">
<parameter key="filename" value="C:\Output.log"/>
<list key="log">
<parameter key="recall" value="operator.Validation.value.performance1"/>
<parameter key="precision" value="operator.Validation.value.performance2"/>
</list>
<parameter key="sorting_type" value="none"/>
<parameter key="sorting_k" value="100"/>
<parameter key="persistent" value="true"/>
</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="averagable 1"/>
<connect from_op="Log" from_port="through 1" to_port="averagable 2"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" 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="Retrieve" from_port="output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Replace" to_port="example set input"/>
<connect from_op="Replace" from_port="example set output" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="training" to_port="result 1"/>
<connect from_op="Validation" from_port="averagable 1" 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>