source: branches/MetisMQI/src/test/java/weka/classifiers/pmml/data/HEART_NOMREG.xml

Last change on this file was 29, checked in by gnappo, 14 years ago

Taggata versione per la demo e aggiunto branch.
File size: 8.5 KB
Line 
1<?xml version="1.0" encoding="UTF-8"?>
2<PMML version="3.0" xmlns="http://www.dmg.org/PMML-3_0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
3<Header copyright="Copyright (c) Integral Solutions Ltd., 1994 - 2005. All rights reserved.">
4<Application name="Clementine" version="10.0"/>
5<Annotation>Exported with PMML extensions for use with SPSS SmartScore</Annotation>
6</Header>
7<DataDictionary numberOfFields="15">
8<DataField name="age" optype="continuous" dataType="integer">
9<Extension name="storageType" value="numeric"/>
10</DataField>
11<DataField name="sex" optype="categorical" dataType="string">
12<Extension name="storageType" value="string"/>
13<Value value="female" property="valid"/>
14<Value value="male" property="valid"/>
15</DataField>
16<DataField name="cp" optype="categorical" dataType="string">
17<Extension name="storageType" value="string"/>
18<Value value="asympt" property="valid"/>
19<Value value="atyp_angina" property="valid"/>
20<Value value="non_anginal" property="valid"/>
21<Value value="typ_angina" property="valid"/>
22</DataField>
23<DataField name="trestbps" optype="continuous" dataType="integer">
24<Extension name="storageType" value="numeric"/>
25</DataField>
26<DataField name="chol" optype="continuous" dataType="integer">
27<Extension name="storageType" value="numeric"/>
28</DataField>
29<DataField name="fbs" optype="categorical" dataType="string">
30<Extension name="storageType" value="string"/>
31<Value value="f" property="valid"/>
32<Value value="t" property="valid"/>
33</DataField>
34<DataField name="restecg" optype="categorical" dataType="string">
35<Extension name="storageType" value="string"/>
36<Value value="left_vent_hyper" property="valid"/>
37<Value value="normal" property="valid"/>
38<Value value="st_t_wave_abnormality" property="valid"/>
39</DataField>
40<DataField name="thalach" optype="continuous" dataType="integer">
41<Extension name="storageType" value="numeric"/>
42</DataField>
43<DataField name="exang" optype="categorical" dataType="string">
44<Extension name="storageType" value="string"/>
45<Value value="no" property="valid"/>
46<Value value="yes" property="valid"/>
47</DataField>
48<DataField name="oldpeak" optype="continuous" dataType="double">
49<Extension name="storageType" value="numeric"/>
50</DataField>
51<DataField name="slope" optype="categorical" dataType="string">
52<Extension name="storageType" value="string"/>
53<Value value="down" property="valid"/>
54<Value value="flat" property="valid"/>
55<Value value="up" property="valid"/>
56</DataField>
57<DataField name="ca" optype="continuous" dataType="integer">
58<Extension name="storageType" value="numeric"/>
59</DataField>
60<DataField name="thal" optype="categorical" dataType="string">
61<Extension name="storageType" value="string"/>
62<Value value="fixed_defect" property="valid"/>
63<Value value="normal" property="valid"/>
64<Value value="reversable_defect" property="valid"/>
65</DataField>
66<DataField name="$L-num" optype="categorical" dataType="string">
67<Extension name="storageType" value="string"/>
68<Value value="&lt;50" property="valid"/>
69<Value value="&gt;50_1" property="valid"/>
70</DataField>
71<DataField name="$LP-num" optype="continuous" dataType="double">
72<Extension name="storageType" value="numeric"/>
73</DataField>
74</DataDictionary>
75<GeneralRegressionModel modelName="HEART_NOMREG" functionName="classification" modelType="multinomialLogistic" targetVariableName="$L-num">
76<MiningSchema>
77<MiningField name="age" usageType="active"/>
78<MiningField name="sex" usageType="active"/>
79<MiningField name="cp" usageType="active"/>
80<MiningField name="trestbps" usageType="active"/>
81<MiningField name="chol" usageType="active"/>
82<MiningField name="fbs" usageType="active"/>
83<MiningField name="restecg" usageType="active"/>
84<MiningField name="thalach" usageType="active"/>
85<MiningField name="exang" usageType="active"/>
86<MiningField name="oldpeak" usageType="active"/>
87<MiningField name="slope" usageType="active"/>
88<MiningField name="ca" usageType="active"/>
89<MiningField name="thal" usageType="active"/>
90<MiningField name="$L-num" usageType="predicted"/>
91<MiningField name="$LP-num" usageType="supplementary"/>
92</MiningSchema>
93<ParameterList>
94<Parameter name="P0000001" label="&lt;&lt;Intercept&gt;&gt;"/>
95<Parameter name="P0000002" label="age"/>
96<Parameter name="P0000003" label="trestbps"/>
97<Parameter name="P0000004" label="chol"/>
98<Parameter name="P0000005" label="thalach"/>
99<Parameter name="P0000006" label="oldpeak"/>
100<Parameter name="P0000007" label="ca"/>
101<Parameter name="P0000008" label="sex=female"/>
102<Parameter name="P0000009" label="cp=asympt"/>
103<Parameter name="P0000010" label="cp=atyp_angina"/>
104<Parameter name="P0000011" label="cp=non_anginal"/>
105<Parameter name="P0000012" label="fbs=f"/>
106<Parameter name="P0000013" label="restecg=left_vent_hyper"/>
107<Parameter name="P0000014" label="restecg=normal"/>
108<Parameter name="P0000015" label="exang=no"/>
109<Parameter name="P0000016" label="slope=down"/>
110<Parameter name="P0000017" label="slope=flat"/>
111<Parameter name="P0000018" label="thal=fixed_defect"/>
112<Parameter name="P0000019" label="thal=normal"/>
113</ParameterList>
114<FactorList>
115<Predictor name="sex"/>
116<Predictor name="cp"/>
117<Predictor name="fbs"/>
118<Predictor name="restecg"/>
119<Predictor name="exang"/>
120<Predictor name="slope"/>
121<Predictor name="thal"/>
122</FactorList>
123<CovariateList>
124<Predictor name="age"/>
125<Predictor name="trestbps"/>
126<Predictor name="chol"/>
127<Predictor name="thalach"/>
128<Predictor name="oldpeak"/>
129<Predictor name="ca"/>
130</CovariateList>
131<PPMatrix>
132<PPCell value="1" predictorName="age" parameterName="P0000002"/>
133<PPCell value="1" predictorName="trestbps" parameterName="P0000003"/>
134<PPCell value="1" predictorName="chol" parameterName="P0000004"/>
135<PPCell value="1" predictorName="thalach" parameterName="P0000005"/>
136<PPCell value="1" predictorName="oldpeak" parameterName="P0000006"/>
137<PPCell value="1" predictorName="ca" parameterName="P0000007"/>
138<PPCell value="female" predictorName="sex" parameterName="P0000008"/>
139<PPCell value="asympt" predictorName="cp" parameterName="P0000009"/>
140<PPCell value="atyp_angina" predictorName="cp" parameterName="P0000010"/>
141<PPCell value="non_anginal" predictorName="cp" parameterName="P0000011"/>
142<PPCell value="f" predictorName="fbs" parameterName="P0000012"/>
143<PPCell value="left_vent_hyper" predictorName="restecg" parameterName="P0000013"/>
144<PPCell value="normal" predictorName="restecg" parameterName="P0000014"/>
145<PPCell value="no" predictorName="exang" parameterName="P0000015"/>
146<PPCell value="down" predictorName="slope" parameterName="P0000016"/>
147<PPCell value="flat" predictorName="slope" parameterName="P0000017"/>
148<PPCell value="fixed_defect" predictorName="thal" parameterName="P0000018"/>
149<PPCell value="normal" predictorName="thal" parameterName="P0000019"/>
150</PPMatrix>
151<ParamMatrix>
152<PCell targetCategory="&lt;50" parameterName="P0000001" beta="1.6485487678691" df="1"/>
153<PCell targetCategory="&lt;50" parameterName="P0000002" beta="0.0151565581042763" df="1"/>
154<PCell targetCategory="&lt;50" parameterName="P0000003" beta="-0.0225084989930953" df="1"/>
155<PCell targetCategory="&lt;50" parameterName="P0000004" beta="-0.00419117211781928" df="1"/>
156<PCell targetCategory="&lt;50" parameterName="P0000005" beta="0.0180150657377129" df="1"/>
157<PCell targetCategory="&lt;50" parameterName="P0000006" beta="-0.367556853173032" df="1"/>
158<PCell targetCategory="&lt;50" parameterName="P0000007" beta="-1.36424396636098" df="1"/>
159<PCell targetCategory="&lt;50" parameterName="P0000008" beta="1.67198506988112" df="1"/>
160<PCell targetCategory="&lt;50" parameterName="P0000009" beta="-2.04471844493608" df="1"/>
161<PCell targetCategory="&lt;50" parameterName="P0000010" beta="-1.32650416964461" df="1"/>
162<PCell targetCategory="&lt;50" parameterName="P0000011" beta="-0.250806888282369" df="1"/>
163<PCell targetCategory="&lt;50" parameterName="P0000012" beta="-0.590972410710686" df="1"/>
164<PCell targetCategory="&lt;50" parameterName="P0000013" beta="0.473799892611073" df="1"/>
165<PCell targetCategory="&lt;50" parameterName="P0000014" beta="0.891255785241992" df="1"/>
166<PCell targetCategory="&lt;50" parameterName="P0000015" beta="0.775025945804079" df="1"/>
167<PCell targetCategory="&lt;50" parameterName="P0000016" beta="-0.586625828643728" df="1"/>
168<PCell targetCategory="&lt;50" parameterName="P0000017" beta="-1.26372382902138" df="1"/>
169<PCell targetCategory="&lt;50" parameterName="P0000018" beta="1.45815536993899" df="1"/>
170<PCell targetCategory="&lt;50" parameterName="P0000019" beta="1.41587437989704" df="1"/>
171<PCell targetCategory="&gt;50_1" parameterName="P0000001" beta="0.0" df="1"/>
172</ParamMatrix>
173</GeneralRegressionModel>
174</PMML>
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