TREE syntax that works doesn't create a tree for a subset (n=2557)
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Hello all, I recently ran syntax for a CRT decision tree that worked fine with a file containing 4589 records. However, when I reran the exact same syntax on a subset of those records (N=2557), no tree was created—just the initial Node with all of the records. I haven’t found any documentation about this—partly because I’m not sure how to search for it. I have a similar tree that uses “Any” as the dependent variable and it works fine with the subset. Any ideas why subsetting doesn’t produce a tree for the dependent count variable?
Possible solutions? The dependent nBH_EDPost ranges from a top heavy 0-49 (56% 0). Would recoding to smaller groups (? 0,1,2,3,4+ (~10% of the total) solve this? In case it helps, here is the syntax. Most of the variables are dichotomies (0/1), variables starting with ‘n’ are continuous (number of…) variables
TREE nBH_EDPOST BY BH_Pre MED_Pre IPF_Private_Pre SOLNIT_Pre
AnyBHsvcPRE nAnyBHsvcPRE nPrEMPSep CurrentEMPSClient EmergencyPsychiatricTimesPrior [s] InpatientPsychiatricTimesLife [s] InpatientPsychiatricTimesPrior [s]
outofhomepsychiatrictimeslife [s] outofhomepsychiatrictimesprior [s] Sex [n] CalcAge [s] Race4g [n] PrivRes NonEnglish Region [n]
IsTANFEligible [n] DCFStatusIntake [n] LivingSituationIntake [n] SchoolAttendancePrior12MonthIntake [n] ArrestedPrior12MonthIntake IsSED CCS_650 CCS_651 CCS_652 CCS_653 CCS_654 CCS_655 CCS_656 CCS_658 CCS_659
CCS_660 CCS_661 CCS_663 CCS_670 CCS_Depr CCS_BIMan CCS_OthMood CCS_OthMood_nonD BH_No654 AutismSD Axis5Intake [s]
AlcoholordrugProblematDischarge AlcoholDrugsLife AlcoholDrugsPrior
OhioScalesFunctioningWorkerIntake [s] AnyTr_IntkDC nTrType [s] AnySchI_IntkDC nSchI [s] ReferralSource [n] ResponseModeEMPS [n] MobileContactsDuring [s] OfficevisitsDuring [s] NCRef [s] NCRefU [s] RTM2 [s] CPA [n] PresentingProblemPrimary [n]
Ohioscalesproblemseverityworkerintake [s] CareReferral_2 CareREferral_3 CareReferral_4 CareReferral_5 CareReferral_6
CareReferral_7 CareReferral_8 CareReferral_9 CareReferral_10 CareReferral_11 CareReferral_12
LengthofStay [s] CompTx nSNeed [s] OhioStress [o] /TREE DISPLAY=TOPDOWN NODES=STATISTICS BRANCHSTATISTICS=YES NODEDEFS=YES SCALE=AUTO /PRINT MODELSUMMARY RISK /GAIN SUMMARYTABLE=YES TYPE=[NODE] SORT=DESCENDING CUMULATIVE=NO /METHOD TYPE=CRT /GROWTHLIMIT MAXDEPTH=AUTO MINPARENTSIZE=100 MINCHILDSIZE=50 /VALIDATION TYPE=NONE OUTPUT=BOTHSAMPLES. -------------- Melissa Ives Tues & Wed
Mon, Thurs, & Fri UCONN/DMHAS Research Division UCONN School of Social Work 410 Capitol Ave., MS #14RSD 38 Prospect Street Hartford, CT 06106 Hartford, CT 06103
860-418-6729 (phone) 959-200-3684 (phone) 860-418-6692 (fax)
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Most likely it didn't find a significant split or big enough subgroup in the smaller sample. You could lower the splitting criteria to persuade it to make a tree. On Tue, Mar 6, 2018 at 10:52 AM, Ives, Melissa L <[hidden email]> wrote:
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Re: TREE syntax that works doesn't create a tree for a subset (n=2557)
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In reply to this post by MLIves
How good is the fit with the whole dataset? Although it seems unlikely, it's possible that with the subset the procedure just doesn't see anything significant going on at the specified node sizes. On Tue, Mar 6, 2018 at 11:52 AM, Ives, Melissa L <[hidden email]> wrote:
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