linear regression demo using polyanalyst generating linear regression formula generating regression...
Post on 19-Dec-2015
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Linear RegressionLinear Regression
Demo using PolyAnalystDemo using PolyAnalyst
Generating Linear Regression Generating Linear Regression FormulaFormula
Generating Regression Rules for Generating Regression Rules for Categorical classificationCategorical classification
CPU DataCPU Data
vendovendorr MYCTMYCT MMINMMIN MMAXMMAX CACHCACH
CHMICHMINN
CHMACHMAXX classclass
adviseadviserr 125125 256256 60006000 256256 1616 128128 199199
amdaamdahlhl 2929 80008000 3200032000 3232 88 3232 253253
amdaamdahlhl 2929 80008000 3200032000 3232 88 3232 253253
amdaamdahlhl 2929 80008000 3200032000 3232 88 3232 253253
amdaamdahlhl 2929 80008000 1600016000 3232 88 1616 132132
amdaamdahlhl 2626 80008000 3200032000 6464 88 3232 290290
amdaamdahlhl 2323 1600016000 3200032000 6464 1616 3232 381381
amdaamdahlhl 2323 1600016000 3200032000 6464 1616 3232 381381
amdaamdahlhl 2323 1600016000 6400064000 6464 1616 3232 749749
amdaamdahlhl 2323 3200032000 6400064000 128128 3232 6464 12381238
Linear RegressionLinear Regression
class = -65.4261 +0.0644143*MYCT class = -65.4261 +0.0644143*MYCT +0.0142251*MMIN +0.0142251*MMIN +0.00655274*MMAX +0.00655274*MMAX +0.485249*CACH +1.18320*CHMAX +0.485249*CACH +1.18320*CHMAX
Weather DataWeather Dataoutlookoutlook temperaturetemperature humidityhumidity windywindy playplay
sunnysunny 8585 8585 FALSEFALSE nono
sunnysunny 8080 9090 TRUETRUE nono
overcastovercast 8383 8686 FALSEFALSE yesyes
rainyrainy 7070 9696 FALSEFALSE yesyes
rainyrainy 6868 8080 FALSEFALSE yesyes
rainyrainy 6565 7070 TRUETRUE nono
overcastovercast 6464 6565 TRUETRUE yesyes
sunnysunny 7272 9595 FALSEFALSE nono
sunnysunny 6969 7070 FALSEFALSE yesyes
rainyrainy 7575 8080 FALSEFALSE yesyes
sunnysunny 7575 7070 TRUETRUE yesyes
overcastovercast 7272 9090 TRUETRUE yesyes
overcastovercast 8181 7575 FALSEFALSE yesyes
rainyrainy 7171 9191 TRUETRUE nono
Prediction RulePrediction Rule
0.6224 < (+2.00797 0.6224 < (+2.00797 +0.474537*if(outlook='overcast',1,0) +0.474537*if(outlook='overcast',1,0)
-0.0165110*humidity -0.0165110*humidity -0.356277*if(windy,1,0)) -0.356277*if(windy,1,0))