在RapidMiner中绘制LOF或任何其他异常值检测算法的ROC曲线的步骤是什么？我使用'生成数据'操作符生成数据，并希望获得LOF算法的ROC曲线。但我得到一个错误 - “该过程应该只有2个标签（正常和异常）。我无法理解该怎么做。 这是XML代码：
?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.2.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.2.000" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="generate_data" compatibility="6.2.000" expanded="true" height="60" name="Generate Data" width="90" x="45" y="75">
<parameter key="target_function" value="gaussian mixture clusters"/>
<parameter key="number_examples" value="200"/>
<parameter key="number_of_attributes" value="2"/>
</operator>
<operator activated="true" breakpoints="after" class="anomalydetection:Local Outlier Factor (LOF)" compatibility="2.3.000" expanded="true" height="94" name="Local Outlier Factor (LOF)" width="90" x="179" y="120">
<parameter key="nominal_measure" value="JaccardSimilarity"/>
<parameter key="parallelize evaluation process" value="true"/>
</operator>
<operator activated="true" breakpoints="after" class="anomalydetection:Generate ROC" compatibility="2.3.000" expanded="true" height="130" name="Generate ROC (2)" width="90" x="380" y="120">
<parameter key="label value for outliers" value="outlier"/>
</operator>
<connect from_op="Generate Data" from_port="output" to_op="Local Outlier Factor (LOF)" to_port="example set"/>
<connect from_op="Local Outlier Factor (LOF)" from_port="example set" to_op="Generate ROC (2)" to_port="example set"/>
<connect from_op="Generate ROC (2)" from_port="roc set" 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"/>
</process>
</operator>
</process>