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‎App_Data/Africa.json

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‎App_Data/Asia.json

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‎App_Data/Audit.pmml

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<?xml version="1.0"?>
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<PMML version="4.1" xmlns="http://www.dmg.org/PMML-4_1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dmg.org/PMML-4_1 http://www.dmg.org/v4-1/pmml-4-1.xsd">
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<Header copyright="Copyright (c) 2016 Syncfusion" description="Generalized Linear Regression Model">
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<Extension name="user" value="Syncfusion" extender="Rattle/PMML"/>
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<Application name="Rattle/PMML" version="1.4"/>
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<Timestamp>2014-10-27 21:35:09</Timestamp>
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</Header>
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<DataDictionary numberOfFields="10">
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<DataField name="Adjusted" optype="categorical" dataType="string">
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<Value value="0"/>
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<Value value="1"/>
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</DataField>
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<DataField name="Age" optype="continuous" dataType="double"/>
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<DataField name="Employment" optype="categorical" dataType="string">
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<Value value="Consultant"/>
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<Value value="Private"/>
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<Value value="PSFederal"/>
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<Value value="PSLocal"/>
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<Value value="PSState"/>
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<Value value="SelfEmp"/>
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<Value value="Volunteer"/>
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</DataField>
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<DataField name="Education" optype="categorical" dataType="string">
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<Value value="Associate"/>
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<Value value="Bachelor"/>
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<Value value="College"/>
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<Value value="Doctorate"/>
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<Value value="HSgrad"/>
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<Value value="Master"/>
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<Value value="Preschool"/>
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<Value value="Professional"/>
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<Value value="Vocational"/>
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<Value value="Yr10"/>
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<Value value="Yr11"/>
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<Value value="Yr12"/>
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<Value value="Yr1t4"/>
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<Value value="Yr5t6"/>
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<Value value="Yr7t8"/>
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<Value value="Yr9"/>
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</DataField>
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<DataField name="Marital" optype="categorical" dataType="string">
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<Value value="Absent"/>
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<Value value="Divorced"/>
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<Value value="Married"/>
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<Value value="Married-spouse-absent"/>
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<Value value="Unmarried"/>
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<Value value="Widowed"/>
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</DataField>
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<DataField name="Occupation" optype="categorical" dataType="string">
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<Value value="Cleaner"/>
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<Value value="Clerical"/>
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<Value value="Executive"/>
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<Value value="Farming"/>
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<Value value="Home"/>
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<Value value="Machinist"/>
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<Value value="Military"/>
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<Value value="Professional"/>
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<Value value="Protective"/>
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<Value value="Repair"/>
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<Value value="Sales"/>
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<Value value="Service"/>
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<Value value="Support"/>
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<Value value="Transport"/>
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</DataField>
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<DataField name="Income" optype="continuous" dataType="double"/>
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<DataField name="Sex" optype="categorical" dataType="string">
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<Value value="Female"/>
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<Value value="Male"/>
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</DataField>
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<DataField name="Deductions" optype="continuous" dataType="double"/>
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<DataField name="Hours" optype="continuous" dataType="double"/>
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</DataDictionary>
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<GeneralRegressionModel modelName="General_Regression_Model" modelType="generalizedLinear" functionName="classification" algorithmName="glm" distribution="binomial" linkFunction="logit">
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<MiningSchema>
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<MiningField name="Adjusted" usageType="predicted"/>
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<MiningField name="Age" usageType="active"/>
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<MiningField name="Employment" usageType="active"/>
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<MiningField name="Education" usageType="active"/>
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<MiningField name="Marital" usageType="active"/>
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<MiningField name="Occupation" usageType="active"/>
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<MiningField name="Income" usageType="active"/>
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<MiningField name="Sex" usageType="active"/>
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<MiningField name="Deductions" usageType="active"/>
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<MiningField name="Hours" usageType="active"/>
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</MiningSchema>
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<Output>
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<OutputField name="Probability_1" targetField="Adjusted" feature="probability" value="1"/>
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<OutputField name="Predicted_Adjusted" feature="predictedValue"/>
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</Output>
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<ParameterList>
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<Parameter name="p0" label="(Intercept)"/>
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<Parameter name="p1" label="Age"/>
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<Parameter name="p2" label="EmploymentPrivate"/>
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<Parameter name="p3" label="EmploymentPSFederal"/>
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<Parameter name="p4" label="EmploymentPSLocal"/>
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<Parameter name="p5" label="EmploymentPSState"/>
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<Parameter name="p6" label="EmploymentSelfEmp"/>
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<Parameter name="p7" label="EmploymentVolunteer"/>
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<Parameter name="p8" label="EducationBachelor"/>
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<Parameter name="p9" label="EducationCollege"/>
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<Parameter name="p10" label="EducationDoctorate"/>
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<Parameter name="p11" label="EducationHSgrad"/>
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<Parameter name="p12" label="EducationMaster"/>
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<Parameter name="p13" label="EducationPreschool"/>
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<Parameter name="p14" label="EducationProfessional"/>
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<Parameter name="p15" label="EducationVocational"/>
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<Parameter name="p16" label="EducationYr10"/>
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<Parameter name="p17" label="EducationYr11"/>
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<Parameter name="p18" label="EducationYr12"/>
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<Parameter name="p19" label="EducationYr1t4"/>
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<Parameter name="p20" label="EducationYr5t6"/>
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<Parameter name="p21" label="EducationYr7t8"/>
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<Parameter name="p22" label="EducationYr9"/>
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<Parameter name="p23" label="MaritalDivorced"/>
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<Parameter name="p24" label="MaritalMarried"/>
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<Parameter name="p25" label="MaritalMarried-spouse-absent"/>
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<Parameter name="p26" label="MaritalUnmarried"/>
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<Parameter name="p27" label="MaritalWidowed"/>
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<Parameter name="p28" label="OccupationClerical"/>
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<Parameter name="p29" label="OccupationExecutive"/>
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<Parameter name="p30" label="OccupationFarming"/>
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<Parameter name="p31" label="OccupationHome"/>
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<Parameter name="p32" label="OccupationMachinist"/>
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<Parameter name="p33" label="OccupationMilitary"/>
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<Parameter name="p34" label="OccupationProfessional"/>
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<Parameter name="p35" label="OccupationProtective"/>
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<Parameter name="p36" label="OccupationRepair"/>
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<Parameter name="p37" label="OccupationSales"/>
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<Parameter name="p38" label="OccupationService"/>
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<Parameter name="p39" label="OccupationSupport"/>
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<Parameter name="p40" label="OccupationTransport"/>
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<Parameter name="p41" label="Income"/>
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<Parameter name="p42" label="SexMale"/>
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<Parameter name="p43" label="Deductions"/>
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<Parameter name="p44" label="Hours"/>
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</ParameterList>
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<FactorList>
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<Predictor name="Employment"/>
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<Predictor name="Education"/>
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<Predictor name="Marital"/>
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<Predictor name="Occupation"/>
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<Predictor name="Sex"/>
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</FactorList>
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<CovariateList>
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<Predictor name="Age"/>
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<Predictor name="Income"/>
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<Predictor name="Deductions"/>
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<Predictor name="Hours"/>
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</CovariateList>
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<PPMatrix>
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<PPCell value="1" predictorName="Age" parameterName="p1"/>
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<PPCell value="Private" predictorName="Employment" parameterName="p2"/>
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<PPCell value="PSFederal" predictorName="Employment" parameterName="p3"/>
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<PPCell value="PSLocal" predictorName="Employment" parameterName="p4"/>
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<PPCell value="PSState" predictorName="Employment" parameterName="p5"/>
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<PPCell value="SelfEmp" predictorName="Employment" parameterName="p6"/>
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<PPCell value="Volunteer" predictorName="Employment" parameterName="p7"/>
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<PPCell value="Bachelor" predictorName="Education" parameterName="p8"/>
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<PPCell value="College" predictorName="Education" parameterName="p9"/>
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<PPCell value="Doctorate" predictorName="Education" parameterName="p10"/>
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<PPCell value="HSgrad" predictorName="Education" parameterName="p11"/>
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<PPCell value="Master" predictorName="Education" parameterName="p12"/>
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<PPCell value="Preschool" predictorName="Education" parameterName="p13"/>
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<PPCell value="Professional" predictorName="Education" parameterName="p14"/>
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<PPCell value="Vocational" predictorName="Education" parameterName="p15"/>
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<PPCell value="Yr10" predictorName="Education" parameterName="p16"/>
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<PPCell value="Yr11" predictorName="Education" parameterName="p17"/>
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<PPCell value="Yr12" predictorName="Education" parameterName="p18"/>
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<PPCell value="Yr1t4" predictorName="Education" parameterName="p19"/>
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<PPCell value="Yr5t6" predictorName="Education" parameterName="p20"/>
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<PPCell value="Yr7t8" predictorName="Education" parameterName="p21"/>
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<PPCell value="Yr9" predictorName="Education" parameterName="p22"/>
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<PPCell value="Divorced" predictorName="Marital" parameterName="p23"/>
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<PPCell value="Married" predictorName="Marital" parameterName="p24"/>
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<PPCell value="Married-spouse-absent" predictorName="Marital" parameterName="p25"/>
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<PPCell value="Unmarried" predictorName="Marital" parameterName="p26"/>
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<PPCell value="Widowed" predictorName="Marital" parameterName="p27"/>
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<PPCell value="Clerical" predictorName="Occupation" parameterName="p28"/>
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<PPCell value="Executive" predictorName="Occupation" parameterName="p29"/>
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<PPCell value="Farming" predictorName="Occupation" parameterName="p30"/>
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<PPCell value="Home" predictorName="Occupation" parameterName="p31"/>
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<PPCell value="Machinist" predictorName="Occupation" parameterName="p32"/>
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<PPCell value="Military" predictorName="Occupation" parameterName="p33"/>
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<PPCell value="Professional" predictorName="Occupation" parameterName="p34"/>
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<PPCell value="Protective" predictorName="Occupation" parameterName="p35"/>
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<PPCell value="Repair" predictorName="Occupation" parameterName="p36"/>
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<PPCell value="Sales" predictorName="Occupation" parameterName="p37"/>
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<PPCell value="Service" predictorName="Occupation" parameterName="p38"/>
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<PPCell value="Support" predictorName="Occupation" parameterName="p39"/>
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<PPCell value="Transport" predictorName="Occupation" parameterName="p40"/>
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<PPCell value="1" predictorName="Income" parameterName="p41"/>
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<PPCell value="Male" predictorName="Sex" parameterName="p42"/>
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<PPCell value="1" predictorName="Deductions" parameterName="p43"/>
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<PPCell value="1" predictorName="Hours" parameterName="p44"/>
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</PPMatrix>
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<ParamMatrix>
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<PCell targetCategory="1" parameterName="p0" df="1" beta="-19.0512311557632"/>
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<PCell targetCategory="1" parameterName="p1" df="1" beta="0.075726911048706"/>
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<PCell targetCategory="1" parameterName="p2" df="1" beta="1.43831815843203"/>
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<PCell targetCategory="1" parameterName="p3" df="1" beta="1.04187271030125"/>
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<PCell targetCategory="1" parameterName="p4" df="1" beta="2.18509491460412"/>
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<PCell targetCategory="1" parameterName="p5" df="1" beta="2.36242522191441"/>
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<PCell targetCategory="1" parameterName="p6" df="1" beta="2.41549967793905"/>
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<PCell targetCategory="1" parameterName="p7" df="1" beta="-19.4749928768188"/>
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<PCell targetCategory="1" parameterName="p8" df="1" beta="1.12283015865936"/>
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<PCell targetCategory="1" parameterName="p9" df="1" beta="-1.89361007110018"/>
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<PCell targetCategory="1" parameterName="p10" df="1" beta="1.57020518604853"/>
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<PCell targetCategory="1" parameterName="p11" df="1" beta="-2.73002756232943"/>
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<PCell targetCategory="1" parameterName="p12" df="1" beta="1.2898200522878"/>
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<PCell targetCategory="1" parameterName="p13" df="1" beta="-7.93721231715274"/>
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<PCell targetCategory="1" parameterName="p14" df="1" beta="4.59962575443365"/>
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<PCell targetCategory="1" parameterName="p15" df="1" beta="-0.986952219485652"/>
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<PCell targetCategory="1" parameterName="p16" df="1" beta="-2.50784150068362"/>
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<PCell targetCategory="1" parameterName="p17" df="1" beta="-18.1209697131631"/>
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<PCell targetCategory="1" parameterName="p18" df="1" beta="0.615444490416363"/>
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<PCell targetCategory="1" parameterName="p19" df="1" beta="-17.5427521818256"/>
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<PCell targetCategory="1" parameterName="p20" df="1" beta="-19.1736438366972"/>
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<PCell targetCategory="1" parameterName="p21" df="1" beta="-18.0725495427808"/>
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<PCell targetCategory="1" parameterName="p22" df="1" beta="-21.757725674741"/>
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<PCell targetCategory="1" parameterName="p23" df="1" beta="-1.16475957072301"/>
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<PCell targetCategory="1" parameterName="p24" df="1" beta="8.05419576996065"/>
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<PCell targetCategory="1" parameterName="p25" df="1" beta="-15.1025547022836"/>
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<PCell targetCategory="1" parameterName="p26" df="1" beta="1.77527361047088"/>
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<PCell targetCategory="1" parameterName="p27" df="1" beta="-20.5712061493715"/>
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<PCell targetCategory="1" parameterName="p28" df="1" beta="3.02259726914247"/>
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<PCell targetCategory="1" parameterName="p29" df="1" beta="4.19697980240932"/>
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<PCell targetCategory="1" parameterName="p30" df="1" beta="-0.409395447627445"/>
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<PCell targetCategory="1" parameterName="p31" df="1" beta="-8.05078855816446"/>
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<PCell targetCategory="1" parameterName="p32" df="1" beta="-16.575268077579"/>
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<PCell targetCategory="1" parameterName="p33" df="1" beta="-7.37693144162072"/>
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<PCell targetCategory="1" parameterName="p34" df="1" beta="3.95284764238435"/>
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<PCell targetCategory="1" parameterName="p35" df="1" beta="2.06002957664734"/>
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<PCell targetCategory="1" parameterName="p36" df="1" beta="-0.380417515709989"/>
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<PCell targetCategory="1" parameterName="p37" df="1" beta="1.92682314784039"/>
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<PCell targetCategory="1" parameterName="p38" df="1" beta="-19.3088087916836"/>
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<PCell targetCategory="1" parameterName="p39" df="1" beta="3.28562714903697"/>
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<PCell targetCategory="1" parameterName="p40" df="1" beta="-1.00196024141903"/>
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<PCell targetCategory="1" parameterName="p41" df="1" beta="5.68138696845621e-06"/>
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<PCell targetCategory="1" parameterName="p42" df="1" beta="-0.434345888236885"/>
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<PCell targetCategory="1" parameterName="p43" df="1" beta="0.00357538705148108"/>
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<PCell targetCategory="1" parameterName="p44" df="1" beta="0.0952714459117653"/>
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</ParamMatrix>
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</GeneralRegressionModel>
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</PMML>

‎App_Data/BoxPlot.cs

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#region Copyright Syncfusion Inc. 2001-2022.
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// Copyright Syncfusion Inc. 2001-2022. All rights reserved.
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// Use of this code is subject to the terms of our license.
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// A copy of the current license can be obtained at any time by e-mailing
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// [email protected]. Any infringement will be prosecuted under
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// applicable laws.
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#endregion
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Web;
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using System.Web.Mvc;
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using System.Web.Script.Serialization;
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[Serializable]
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public class BoxPlotData
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{
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public BoxPlotData(string xval, Double[] yvalue)
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{
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this.Xvalue = xval;
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this.YValue1 = yvalue;
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}
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public string Xvalue
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{
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get;
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set;
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}
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public Double[] YValue1
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{
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get;
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set;
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}
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}

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