automatic variable selection
0
I have a data set with following columns
Acres,FamilyType, NumBedrooms,NumChildren, NumPeople, NumRooms,NumUnits NumVehicles,NumWorkers, OwnRent,YearBuilt, HouseCosts,ElectricBill, FoodStamp,HeatingFuel,Insurance,Language, above_150K
I did
fit<-glm(above_150K~Acres+ FamilyType+ NumBedrooms+ NumChildren+NumPeople+NumRooms+NumUnits+NumVehicles+NumWorkers+OwnRent+YearBuilt+HouseCosts+ElectricBill+FoodStamp+HeatingFuel+Insurance+Language,data=‘df’)
summary(fit)
It breaks down each column further down into sub columns like below
Abbreviation
Acres10+ A
AcresSub 1 A1
FamilyTypeMale Head FH
FamilyTypeMarried FT
NumBedrooms NB
NumChildren NC
NumPeople NP
NumRooms NR
NumUnitsSingle attached Na
NumUnitsSingle detached Nd
NumVehicles NV
NumWorkers NW
OwnRentOutright ORO
OwnRentRented ORR
YearBuilt1940-1949 YB194
YearBuilt1950-1959 YB195
YearBuilt1960-1969 YB196
YearBuilt1970-1979 YB197
YearBuilt1980-1989 YB198
YearBuilt1990-1999 YB199
YearBuilt2000-2004 YB2000
YearBuilt2005 YB2005
YearBuilt2006 YB2006
YearBuilt2007 YB2007
YearBuilt2008 YB2008
YearBuilt2009 YB2009
YearBuilt2010 YB201
YearBuiltBefore 1939 Y1
HouseCosts HC
ElectricBill E
FoodStampYes FS
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Insurance I
LanguageEnglish LnE
LanguageOther LO
LanguageOther European LOE
LanguageSpanish LS
As you can see a single column HeatingFuel is broken down into
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Why is this happening?
I wanted to select the variables for prediction above_150K, I used Stepwise, AllSubsets automatic variable selection, they suggest
To use all the variables. Could some one please clarify?
r logistic-regression forecasting feature-selection variable-selection
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
add a comment |
0
I have a data set with following columns
Acres,FamilyType, NumBedrooms,NumChildren, NumPeople, NumRooms,NumUnits NumVehicles,NumWorkers, OwnRent,YearBuilt, HouseCosts,ElectricBill, FoodStamp,HeatingFuel,Insurance,Language, above_150K
I did
fit<-glm(above_150K~Acres+ FamilyType+ NumBedrooms+ NumChildren+NumPeople+NumRooms+NumUnits+NumVehicles+NumWorkers+OwnRent+YearBuilt+HouseCosts+ElectricBill+FoodStamp+HeatingFuel+Insurance+Language,data=‘df’)
summary(fit)
It breaks down each column further down into sub columns like below
Abbreviation
Acres10+ A
AcresSub 1 A1
FamilyTypeMale Head FH
FamilyTypeMarried FT
NumBedrooms NB
NumChildren NC
NumPeople NP
NumRooms NR
NumUnitsSingle attached Na
NumUnitsSingle detached Nd
NumVehicles NV
NumWorkers NW
OwnRentOutright ORO
OwnRentRented ORR
YearBuilt1940-1949 YB194
YearBuilt1950-1959 YB195
YearBuilt1960-1969 YB196
YearBuilt1970-1979 YB197
YearBuilt1980-1989 YB198
YearBuilt1990-1999 YB199
YearBuilt2000-2004 YB2000
YearBuilt2005 YB2005
YearBuilt2006 YB2006
YearBuilt2007 YB2007
YearBuilt2008 YB2008
YearBuilt2009 YB2009
YearBuilt2010 YB201
YearBuiltBefore 1939 Y1
HouseCosts HC
ElectricBill E
FoodStampYes FS
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Insurance I
LanguageEnglish LnE
LanguageOther LO
LanguageOther European LOE
LanguageSpanish LS
As you can see a single column HeatingFuel is broken down into
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Why is this happening?
I wanted to select the variables for prediction above_150K, I used Stepwise, AllSubsets automatic variable selection, they suggest
To use all the variables. Could some one please clarify?
r logistic-regression forecasting feature-selection variable-selection
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
add a comment |
0
0
0
I have a data set with following columns
Acres,FamilyType, NumBedrooms,NumChildren, NumPeople, NumRooms,NumUnits NumVehicles,NumWorkers, OwnRent,YearBuilt, HouseCosts,ElectricBill, FoodStamp,HeatingFuel,Insurance,Language, above_150K
I did
fit<-glm(above_150K~Acres+ FamilyType+ NumBedrooms+ NumChildren+NumPeople+NumRooms+NumUnits+NumVehicles+NumWorkers+OwnRent+YearBuilt+HouseCosts+ElectricBill+FoodStamp+HeatingFuel+Insurance+Language,data=‘df’)
summary(fit)
It breaks down each column further down into sub columns like below
Abbreviation
Acres10+ A
AcresSub 1 A1
FamilyTypeMale Head FH
FamilyTypeMarried FT
NumBedrooms NB
NumChildren NC
NumPeople NP
NumRooms NR
NumUnitsSingle attached Na
NumUnitsSingle detached Nd
NumVehicles NV
NumWorkers NW
OwnRentOutright ORO
OwnRentRented ORR
YearBuilt1940-1949 YB194
YearBuilt1950-1959 YB195
YearBuilt1960-1969 YB196
YearBuilt1970-1979 YB197
YearBuilt1980-1989 YB198
YearBuilt1990-1999 YB199
YearBuilt2000-2004 YB2000
YearBuilt2005 YB2005
YearBuilt2006 YB2006
YearBuilt2007 YB2007
YearBuilt2008 YB2008
YearBuilt2009 YB2009
YearBuilt2010 YB201
YearBuiltBefore 1939 Y1
HouseCosts HC
ElectricBill E
FoodStampYes FS
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Insurance I
LanguageEnglish LnE
LanguageOther LO
LanguageOther European LOE
LanguageSpanish LS
As you can see a single column HeatingFuel is broken down into
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Why is this happening?
I wanted to select the variables for prediction above_150K, I used Stepwise, AllSubsets automatic variable selection, they suggest
To use all the variables. Could some one please clarify?
r logistic-regression forecasting feature-selection variable-selection
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
I have a data set with following columns
Acres,FamilyType, NumBedrooms,NumChildren, NumPeople, NumRooms,NumUnits NumVehicles,NumWorkers, OwnRent,YearBuilt, HouseCosts,ElectricBill, FoodStamp,HeatingFuel,Insurance,Language, above_150K
I did
fit<-glm(above_150K~Acres+ FamilyType+ NumBedrooms+ NumChildren+NumPeople+NumRooms+NumUnits+NumVehicles+NumWorkers+OwnRent+YearBuilt+HouseCosts+ElectricBill+FoodStamp+HeatingFuel+Insurance+Language,data=‘df’)
summary(fit)
It breaks down each column further down into sub columns like below
Abbreviation
Acres10+ A
AcresSub 1 A1
FamilyTypeMale Head FH
FamilyTypeMarried FT
NumBedrooms NB
NumChildren NC
NumPeople NP
NumRooms NR
NumUnitsSingle attached Na
NumUnitsSingle detached Nd
NumVehicles NV
NumWorkers NW
OwnRentOutright ORO
OwnRentRented ORR
YearBuilt1940-1949 YB194
YearBuilt1950-1959 YB195
YearBuilt1960-1969 YB196
YearBuilt1970-1979 YB197
YearBuilt1980-1989 YB198
YearBuilt1990-1999 YB199
YearBuilt2000-2004 YB2000
YearBuilt2005 YB2005
YearBuilt2006 YB2006
YearBuilt2007 YB2007
YearBuilt2008 YB2008
YearBuilt2009 YB2009
YearBuilt2010 YB201
YearBuiltBefore 1939 Y1
HouseCosts HC
ElectricBill E
FoodStampYes FS
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Insurance I
LanguageEnglish LnE
LanguageOther LO
LanguageOther European LOE
LanguageSpanish LS
As you can see a single column HeatingFuel is broken down into
HeatingFuelElectricity HFE
HeatingFuelGas HFG
HeatingFuelNone HFN
HeatingFuelOil HtngFlOl
HeatingFuelOther HtngFlOt
HeatingFuelSolar HFS
HeatingFuelWood HFW
Why is this happening?
I wanted to select the variables for prediction above_150K, I used Stepwise, AllSubsets automatic variable selection, they suggest
To use all the variables. Could some one please clarify?
r logistic-regression forecasting feature-selection variable-selection
r logistic-regression forecasting feature-selection variable-selection
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
edited Nov 22 '18 at 9:39
Vivek Kumar
16.2k42054
16.2k42054
asked Nov 14 '18 at 21:49
RajRaj
378
asked Nov 14 '18 at 21:49
RajRaj
378
asked Nov 14 '18 at 21:49
RajRaj
378
378
add a comment |
add a comment |
0
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