insurancePriceModel.pmml

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<PMML xmlns="http://www.dmg.org/PMML-4_4" xmlns:data="http://jpmml.org/jpmml-model/InlineTable" version="4.4">
	<Header>
		<Application name="SkLearn2PMML package" version="0.99.0"/>
		<Timestamp>2023-11-09T13:35:17Z</Timestamp>
	</Header>
	<DataDictionary>
		<DataField name="y" optype="continuous" dataType="double"/>
		<DataField name="Age" optype="continuous" dataType="double"/>
		<DataField name="Gender" optype="continuous" dataType="double"/>
		<DataField name="BodyMassIndex" optype="continuous" dataType="double"/>
		<DataField name="Childrens" optype="continuous" dataType="double"/>
		<DataField name="Smoke" optype="continuous" dataType="double"/>
		<DataField name="Department" optype="continuous" dataType="double"/>
	</DataDictionary>
	<RegressionModel functionName="regression" algorithmName="sklearn.linear_model._base.LinearRegression">
		<MiningSchema>
			<MiningField name="y" usageType="target"/>
			<MiningField name="Age"/>
			<MiningField name="Gender"/>
			<MiningField name="BodyMassIndex"/>
			<MiningField name="Childrens"/>
			<MiningField name="Smoke"/>
			<MiningField name="Department"/>
		</MiningSchema>
		<RegressionTable intercept="-7725.976284540289">
			<NumericPredictor name="Age" coefficient="262.61318486355077"/>
			<NumericPredictor name="Gender" coefficient="-2748.6393246713988"/>
			<NumericPredictor name="BodyMassIndex" coefficient="236.65347225521532"/>
			<NumericPredictor name="Childrens" coefficient="1542.0025154988434"/>
			<NumericPredictor name="Smoke" coefficient="19214.748823762144"/>
			<NumericPredictor name="Department" coefficient="-202.9629024687756"/>
		</RegressionTable>
	</RegressionModel>
</PMML>