A program to recognize and reward our most engaged community members
<operator name="Root" class="Process" expanded="yes"> <description text="This process plots the learning curve, i.e. the performance with respect to the number of examples which is used for learning."/> <parameter key="logverbosity" value="warning"/> <parameter key="random_seed" value="2004"/> <operator name="Iris" class="ArffExampleSource"> <parameter key="data_file" value="C:\rm_workspace\sample\data\iris.arff"/> <parameter key="label_attribute" value="class"/> </operator> <operator name="split at 90%, step 5%" class="LearningCurve" expanded="yes"> <parameter key="training_ratio" value="0.6"/> <parameter key="start_fraction" value="0.0"/> <operator name="OperatorChain" class="OperatorChain" expanded="yes"> <operator name="W-J48" class="W-J48"> <parameter key="keep_example_set" value="true"/> </operator> </operator> <operator name="ApplierChain" class="OperatorChain" expanded="yes"> <operator name="ModelApplier" class="ModelApplier"> <list key="application_parameters"> </list> </operator> <operator name="ClassificationPerformance" class="ClassificationPerformance"> <parameter key="accuracy" value="true"/> <list key="class_weights"> </list> </operator> </operator> <operator name="ProcessLog" class="ProcessLog"> <list key="log"> <parameter key="performance" value="operator.ClassificationPerformance.value.accuracy"/> <parameter key="fraction" value="operator.split at 90%, step 5%.value.fraction"/> </list> </operator> </operator></operator>