Imports



In [1]:

    
import warnings

import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.ensemble import RandomForestRegressor
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import Lasso
from sklearn.linear_model import Ridge
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import normalize
from sklearn.preprocessing import scale

pd.set_option('display.max_columns', 1800)
plt.style.use('ggplot')
warnings.filterwarnings('ignore')

%matplotlib inline



In [2]:

    
mpl.rc('savefig', dpi=200)
params = {'figure.dpi' : 200,
          'figure.figsize' : (12, 10),
          'axes.axisbelow' : True,
          'lines.antialiased' : True,
          'axes.titlesize' : 'xx-large',
          'axes.labelsize' : 'x-large',
          'xtick.labelsize' : 'large',
          'ytick.labelsize' : 'large'}

for (k, v) in params.items():
    plt.rcParams[k] = v

Data



In [3]:

    
data = pd.DataFrame()
files = ['data/MERGED2003_PP.csv', 'data/MERGED2005_PP.csv',
         'data/MERGED2007_PP.csv']
dfs = []
for file in files:
    df = pd.read_csv(file, low_memory=False)
    print(df.shape)
    df['type'] = 'training'
    dfs.append(df)

data = pd.concat(dfs)









    



(6585, 1729)
(6824, 1729)
(6890, 1729)



In [4]:

    
testing = pd.read_csv('data/MERGED2011_PP.csv', low_memory=False)
print(testing.shape)
testing['type'] = 'testing'









    



(7675, 1729)



In [5]:

    
data = pd.concat([data, testing])



In [6]:

    
data.shape









    Out[6]:





(27974, 1730)



In [7]:

    
data.head(3)









    Out[7]:






  
    
      
      UNITID
      OPEID
      opeid6
      INSTNM
      CITY
      STABBR
      ZIP
      AccredAgency
      INSTURL
      NPCURL
      sch_deg
      HCM2
      main
      NUMBRANCH
      PREDDEG
      HIGHDEG
      CONTROL
      st_fips
      region
      LOCALE
      locale2
      LATITUDE
      LONGITUDE
      CCBASIC
      CCUGPROF
      CCSIZSET
      HBCU
      PBI
      ANNHI
      TRIBAL
      AANAPII
      HSI
      NANTI
      MENONLY
      WOMENONLY
      RELAFFIL
      ADM_RATE
      ADM_RATE_ALL
      SATVR25
      SATVR75
      SATMT25
      SATMT75
      SATWR25
      SATWR75
      SATVRMID
      SATMTMID
      SATWRMID
      ACTCM25
      ACTCM75
      ACTEN25
      ACTEN75
      ACTMT25
      ACTMT75
      ACTWR25
      ACTWR75
      ACTCMMID
      ACTENMID
      ACTMTMID
      ACTWRMID
      SAT_AVG
      SAT_AVG_ALL
      PCIP01
      PCIP03
      PCIP04
      PCIP05
      PCIP09
      PCIP10
      PCIP11
      PCIP12
      PCIP13
      PCIP14
      PCIP15
      PCIP16
      PCIP19
      PCIP22
      PCIP23
      PCIP24
      PCIP25
      PCIP26
      PCIP27
      PCIP29
      PCIP30
      PCIP31
      PCIP38
      PCIP39
      PCIP40
      PCIP41
      PCIP42
      PCIP43
      PCIP44
      PCIP45
      PCIP46
      PCIP47
      PCIP48
      PCIP49
      PCIP50
      PCIP51
      PCIP52
      PCIP54
      CIP01CERT1
      CIP01CERT2
      CIP01ASSOC
      CIP01CERT4
      CIP01BACHL
      CIP03CERT1
      CIP03CERT2
      CIP03ASSOC
      CIP03CERT4
      CIP03BACHL
      CIP04CERT1
      CIP04CERT2
      CIP04ASSOC
      CIP04CERT4
      CIP04BACHL
      CIP05CERT1
      CIP05CERT2
      CIP05ASSOC
      CIP05CERT4
      CIP05BACHL
      CIP09CERT1
      CIP09CERT2
      CIP09ASSOC
      CIP09CERT4
      CIP09BACHL
      CIP10CERT1
      CIP10CERT2
      CIP10ASSOC
      CIP10CERT4
      CIP10BACHL
      CIP11CERT1
      CIP11CERT2
      CIP11ASSOC
      CIP11CERT4
      CIP11BACHL
      CIP12CERT1
      CIP12CERT2
      CIP12ASSOC
      CIP12CERT4
      CIP12BACHL
      CIP13CERT1
      CIP13CERT2
      CIP13ASSOC
      CIP13CERT4
      CIP13BACHL
      CIP14CERT1
      CIP14CERT2
      CIP14ASSOC
      CIP14CERT4
      CIP14BACHL
      CIP15CERT1
      CIP15CERT2
      CIP15ASSOC
      CIP15CERT4
      CIP15BACHL
      CIP16CERT1
      CIP16CERT2
      CIP16ASSOC
      CIP16CERT4
      CIP16BACHL
      CIP19CERT1
      CIP19CERT2
      CIP19ASSOC
      CIP19CERT4
      CIP19BACHL
      CIP22CERT1
      CIP22CERT2
      CIP22ASSOC
      CIP22CERT4
      CIP22BACHL
      CIP23CERT1
      CIP23CERT2
      CIP23ASSOC
      CIP23CERT4
      CIP23BACHL
      CIP24CERT1
      CIP24CERT2
      CIP24ASSOC
      CIP24CERT4
      CIP24BACHL
      CIP25CERT1
      CIP25CERT2
      CIP25ASSOC
      CIP25CERT4
      CIP25BACHL
      CIP26CERT1
      CIP26CERT2
      CIP26ASSOC
      CIP26CERT4
      CIP26BACHL
      CIP27CERT1
      CIP27CERT2
      CIP27ASSOC
      CIP27CERT4
      CIP27BACHL
      CIP29CERT1
      CIP29CERT2
      CIP29ASSOC
      CIP29CERT4
      CIP29BACHL
      CIP30CERT1
      CIP30CERT2
      CIP30ASSOC
      CIP30CERT4
      CIP30BACHL
      CIP31CERT1
      CIP31CERT2
      CIP31ASSOC
      CIP31CERT4
      CIP31BACHL
      CIP38CERT1
      CIP38CERT2
      CIP38ASSOC
      CIP38CERT4
      CIP38BACHL
      CIP39CERT1
      CIP39CERT2
      CIP39ASSOC
      CIP39CERT4
      CIP39BACHL
      CIP40CERT1
      CIP40CERT2
      CIP40ASSOC
      CIP40CERT4
      CIP40BACHL
      CIP41CERT1
      CIP41CERT2
      CIP41ASSOC
      CIP41CERT4
      CIP41BACHL
      CIP42CERT1
      CIP42CERT2
      CIP42ASSOC
      CIP42CERT4
      CIP42BACHL
      CIP43CERT1
      CIP43CERT2
      CIP43ASSOC
      CIP43CERT4
      CIP43BACHL
      CIP44CERT1
      CIP44CERT2
      CIP44ASSOC
      CIP44CERT4
      CIP44BACHL
      CIP45CERT1
      CIP45CERT2
      CIP45ASSOC
      CIP45CERT4
      CIP45BACHL
      CIP46CERT1
      CIP46CERT2
      CIP46ASSOC
      CIP46CERT4
      CIP46BACHL
      CIP47CERT1
      CIP47CERT2
      CIP47ASSOC
      CIP47CERT4
      CIP47BACHL
      CIP48CERT1
      CIP48CERT2
      CIP48ASSOC
      CIP48CERT4
      CIP48BACHL
      CIP49CERT1
      CIP49CERT2
      CIP49ASSOC
      CIP49CERT4
      CIP49BACHL
      CIP50CERT1
      CIP50CERT2
      CIP50ASSOC
      CIP50CERT4
      CIP50BACHL
      CIP51CERT1
      CIP51CERT2
      CIP51ASSOC
      CIP51CERT4
      CIP51BACHL
      CIP52CERT1
      CIP52CERT2
      CIP52ASSOC
      CIP52CERT4
      CIP52BACHL
      CIP54CERT1
      CIP54CERT2
      CIP54ASSOC
      CIP54CERT4
      CIP54BACHL
      DISTANCEONLY
      UGDS
      UG
      UGDS_WHITE
      UGDS_BLACK
      UGDS_HISP
      UGDS_ASIAN
      UGDS_AIAN
      UGDS_NHPI
      UGDS_2MOR
      UGDS_NRA
      UGDS_UNKN
      UGDS_WHITENH
      UGDS_BLACKNH
      UGDS_API
      UGDS_AIANOld
      UGDS_HISPOld
      UG_NRA
      UG_UNKN
      UG_WHITENH
      UG_BLACKNH
      UG_API
      UG_AIANOld
      UG_HISPOld
      PPTUG_EF
      PPTUG_EF2
      CURROPER
      NPT4_PUB
      NPT4_PRIV
      NPT4_PROG
      NPT4_OTHER
      NPT41_PUB
      NPT42_PUB
      NPT43_PUB
      NPT44_PUB
      NPT45_PUB
      NPT41_PRIV
      NPT42_PRIV
      NPT43_PRIV
      NPT44_PRIV
      NPT45_PRIV
      NPT41_PROG
      NPT42_PROG
      NPT43_PROG
      NPT44_PROG
      NPT45_PROG
      NPT41_OTHER
      NPT42_OTHER
      NPT43_OTHER
      NPT44_OTHER
      NPT45_OTHER
      NPT4_048_PUB
      NPT4_048_PRIV
      NPT4_048_PROG
      NPT4_048_OTHER
      NPT4_3075_PUB
      NPT4_3075_PRIV
      NPT4_75UP_PUB
      NPT4_75UP_PRIV
      NPT4_3075_PROG
      NPT4_3075_OTHER
      NPT4_75UP_PROG
      NPT4_75UP_OTHER
      NUM4_PUB
      NUM4_PRIV
      NUM4_PROG
      NUM4_OTHER
      NUM41_PUB
      NUM42_PUB
      NUM43_PUB
      NUM44_PUB
      NUM45_PUB
      NUM41_PRIV
      NUM42_PRIV
      NUM43_PRIV
      NUM44_PRIV
      NUM45_PRIV
      NUM41_PROG
      NUM42_PROG
      NUM43_PROG
      NUM44_PROG
      NUM45_PROG
      NUM41_OTHER
      NUM42_OTHER
      NUM43_OTHER
      NUM44_OTHER
      NUM45_OTHER
      COSTT4_A
      COSTT4_P
      TUITIONFEE_IN
      TUITIONFEE_OUT
      TUITIONFEE_PROG
      TUITFTE
      INEXPFTE
      AVGFACSAL
      PFTFAC
      PCTPELL
      C150_4
      C150_L4
      C150_4_POOLED
      C150_L4_POOLED
      poolyrs
      PFTFTUG1_EF
      D150_4
      D150_L4
      D150_4_POOLED
      D150_L4_POOLED
      C150_4_WHITE
      C150_4_BLACK
      C150_4_HISP
      C150_4_ASIAN
      C150_4_AIAN
      C150_4_NHPI
      C150_4_2MOR
      C150_4_NRA
      C150_4_UNKN
      C150_4_WHITENH
      C150_4_BLACKNH
      C150_4_API
      C150_4_AIANOld
      C150_4_HISPOld
      C150_L4_WHITE
      C150_L4_BLACK
      C150_L4_HISP
      C150_L4_ASIAN
      C150_L4_AIAN
      C150_L4_NHPI
      C150_L4_2MOR
      C150_L4_NRA
      C150_L4_UNKN
      C150_L4_WHITENH
      C150_L4_BLACKNH
      C150_L4_API
      C150_L4_AIANOld
      C150_L4_HISPOld
      C200_4
      C200_L4
      D200_4
      D200_L4
      RET_FT4
      RET_FTL4
      RET_PT4
      RET_PTL4
      C200_4_POOLED
      C200_L4_POOLED
      poolyrs200
      D200_4_POOLED
      D200_L4_POOLED
      PCTFLOAN
      UG25abv
      CDR2
      CDR3
      DEATH_YR2_RT
      COMP_ORIG_YR2_RT
      COMP_4YR_TRANS_YR2_RT
      COMP_2YR_TRANS_YR2_RT
      WDRAW_ORIG_YR2_RT
      WDRAW_4YR_TRANS_YR2_RT
      WDRAW_2YR_TRANS_YR2_RT
      ENRL_ORIG_YR2_RT
      ENRL_4YR_TRANS_YR2_RT
      ENRL_2YR_TRANS_YR2_RT
      UNKN_ORIG_YR2_RT
      UNKN_4YR_TRANS_YR2_RT
      UNKN_2YR_TRANS_YR2_RT
      LO_INC_DEATH_YR2_RT
      LO_INC_COMP_ORIG_YR2_RT
      LO_INC_COMP_4YR_TRANS_YR2_RT
      LO_INC_COMP_2YR_TRANS_YR2_RT
      LO_INC_WDRAW_ORIG_YR2_RT
      LO_INC_WDRAW_4YR_TRANS_YR2_RT
      LO_INC_WDRAW_2YR_TRANS_YR2_RT
      LO_INC_ENRL_ORIG_YR2_RT
      LO_INC_ENRL_4YR_TRANS_YR2_RT
      LO_INC_ENRL_2YR_TRANS_YR2_RT
      LO_INC_UNKN_ORIG_YR2_RT
      LO_INC_UNKN_4YR_TRANS_YR2_RT
      LO_INC_UNKN_2YR_TRANS_YR2_RT
      MD_INC_DEATH_YR2_RT
      MD_INC_COMP_ORIG_YR2_RT
      MD_INC_COMP_4YR_TRANS_YR2_RT
      MD_INC_COMP_2YR_TRANS_YR2_RT
      MD_INC_WDRAW_ORIG_YR2_RT
      MD_INC_WDRAW_4YR_TRANS_YR2_RT
      MD_INC_WDRAW_2YR_TRANS_YR2_RT
      MD_INC_ENRL_ORIG_YR2_RT
      MD_INC_ENRL_4YR_TRANS_YR2_RT
      MD_INC_ENRL_2YR_TRANS_YR2_RT
      MD_INC_UNKN_ORIG_YR2_RT
      MD_INC_UNKN_4YR_TRANS_YR2_RT
      MD_INC_UNKN_2YR_TRANS_YR2_RT
      HI_INC_DEATH_YR2_RT
      HI_INC_COMP_ORIG_YR2_RT
      HI_INC_COMP_4YR_TRANS_YR2_RT
      HI_INC_COMP_2YR_TRANS_YR2_RT
      HI_INC_WDRAW_ORIG_YR2_RT
      HI_INC_WDRAW_4YR_TRANS_YR2_RT
      HI_INC_WDRAW_2YR_TRANS_YR2_RT
      HI_INC_ENRL_ORIG_YR2_RT
      HI_INC_ENRL_4YR_TRANS_YR2_RT
      HI_INC_ENRL_2YR_TRANS_YR2_RT
      HI_INC_UNKN_ORIG_YR2_RT
      HI_INC_UNKN_4YR_TRANS_YR2_RT
      HI_INC_UNKN_2YR_TRANS_YR2_RT
      DEP_DEATH_YR2_RT
      DEP_COMP_ORIG_YR2_RT
      DEP_COMP_4YR_TRANS_YR2_RT
      DEP_COMP_2YR_TRANS_YR2_RT
      DEP_WDRAW_ORIG_YR2_RT
      DEP_WDRAW_4YR_TRANS_YR2_RT
      DEP_WDRAW_2YR_TRANS_YR2_RT
      DEP_ENRL_ORIG_YR2_RT
      DEP_ENRL_4YR_TRANS_YR2_RT
      DEP_ENRL_2YR_TRANS_YR2_RT
      DEP_UNKN_ORIG_YR2_RT
      DEP_UNKN_4YR_TRANS_YR2_RT
      DEP_UNKN_2YR_TRANS_YR2_RT
      IND_DEATH_YR2_RT
      IND_COMP_ORIG_YR2_RT
      IND_COMP_4YR_TRANS_YR2_RT
      IND_COMP_2YR_TRANS_YR2_RT
      IND_WDRAW_ORIG_YR2_RT
      IND_WDRAW_4YR_TRANS_YR2_RT
      IND_WDRAW_2YR_TRANS_YR2_RT
      IND_ENRL_ORIG_YR2_RT
      IND_ENRL_4YR_TRANS_YR2_RT
      IND_ENRL_2YR_TRANS_YR2_RT
      IND_UNKN_ORIG_YR2_RT
      IND_UNKN_4YR_TRANS_YR2_RT
      IND_UNKN_2YR_TRANS_YR2_RT
      FEMALE_DEATH_YR2_RT
      FEMALE_COMP_ORIG_YR2_RT
      FEMALE_COMP_4YR_TRANS_YR2_RT
      FEMALE_COMP_2YR_TRANS_YR2_RT
      FEMALE_WDRAW_ORIG_YR2_RT
      FEMALE_WDRAW_4YR_TRANS_YR2_RT
      FEMALE_WDRAW_2YR_TRANS_YR2_RT
      FEMALE_ENRL_ORIG_YR2_RT
      FEMALE_ENRL_4YR_TRANS_YR2_RT
      FEMALE_ENRL_2YR_TRANS_YR2_RT
      FEMALE_UNKN_ORIG_YR2_RT
      FEMALE_UNKN_4YR_TRANS_YR2_RT
      FEMALE_UNKN_2YR_TRANS_YR2_RT
      MALE_DEATH_YR2_RT
      MALE_COMP_ORIG_YR2_RT
      MALE_COMP_4YR_TRANS_YR2_RT
      MALE_COMP_2YR_TRANS_YR2_RT
      MALE_WDRAW_ORIG_YR2_RT
      MALE_WDRAW_4YR_TRANS_YR2_RT
      MALE_WDRAW_2YR_TRANS_YR2_RT
      MALE_ENRL_ORIG_YR2_RT
      MALE_ENRL_4YR_TRANS_YR2_RT
      MALE_ENRL_2YR_TRANS_YR2_RT
      MALE_UNKN_ORIG_YR2_RT
      MALE_UNKN_4YR_TRANS_YR2_RT
      MALE_UNKN_2YR_TRANS_YR2_RT
      PELL_DEATH_YR2_RT
      PELL_COMP_ORIG_YR2_RT
      PELL_COMP_4YR_TRANS_YR2_RT
      PELL_COMP_2YR_TRANS_YR2_RT
      PELL_WDRAW_ORIG_YR2_RT
      PELL_WDRAW_4YR_TRANS_YR2_RT
      PELL_WDRAW_2YR_TRANS_YR2_RT
      PELL_ENRL_ORIG_YR2_RT
      PELL_ENRL_4YR_TRANS_YR2_RT
      PELL_ENRL_2YR_TRANS_YR2_RT
      PELL_UNKN_ORIG_YR2_RT
      PELL_UNKN_4YR_TRANS_YR2_RT
      PELL_UNKN_2YR_TRANS_YR2_RT
      NOPELL_DEATH_YR2_RT
      NOPELL_COMP_ORIG_YR2_RT
      NOPELL_COMP_4YR_TRANS_YR2_RT
      NOPELL_COMP_2YR_TRANS_YR2_RT
      NOPELL_WDRAW_ORIG_YR2_RT
      NOPELL_WDRAW_4YR_TRANS_YR2_RT
      NOPELL_WDRAW_2YR_TRANS_YR2_RT
      NOPELL_ENRL_ORIG_YR2_RT
      NOPELL_ENRL_4YR_TRANS_YR2_RT
      NOPELL_ENRL_2YR_TRANS_YR2_RT
      NOPELL_UNKN_ORIG_YR2_RT
      NOPELL_UNKN_4YR_TRANS_YR2_RT
      NOPELL_UNKN_2YR_TRANS_YR2_RT
      LOAN_DEATH_YR2_RT
      LOAN_COMP_ORIG_YR2_RT
      LOAN_COMP_4YR_TRANS_YR2_RT
      LOAN_COMP_2YR_TRANS_YR2_RT
      LOAN_WDRAW_ORIG_YR2_RT
      LOAN_WDRAW_4YR_TRANS_YR2_RT
      LOAN_WDRAW_2YR_TRANS_YR2_RT
      LOAN_ENRL_ORIG_YR2_RT
      LOAN_ENRL_4YR_TRANS_YR2_RT
      LOAN_ENRL_2YR_TRANS_YR2_RT
      LOAN_UNKN_ORIG_YR2_RT
      LOAN_UNKN_4YR_TRANS_YR2_RT
      LOAN_UNKN_2YR_TRANS_YR2_RT
      NOLOAN_DEATH_YR2_RT
      NOLOAN_COMP_ORIG_YR2_RT
      NOLOAN_COMP_4YR_TRANS_YR2_RT
      NOLOAN_COMP_2YR_TRANS_YR2_RT
      NOLOAN_WDRAW_ORIG_YR2_RT
      NOLOAN_WDRAW_4YR_TRANS_YR2_RT
      NOLOAN_WDRAW_2YR_TRANS_YR2_RT
      NOLOAN_ENRL_ORIG_YR2_RT
      NOLOAN_ENRL_4YR_TRANS_YR2_RT
      NOLOAN_ENRL_2YR_TRANS_YR2_RT
      NOLOAN_UNKN_ORIG_YR2_RT
      NOLOAN_UNKN_4YR_TRANS_YR2_RT
      NOLOAN_UNKN_2YR_TRANS_YR2_RT
      FIRSTGEN_DEATH_YR2_RT
      FIRSTGEN_COMP_ORIG_YR2_RT
      FIRSTGEN_COMP_4YR_TRANS_YR2_RT
      FIRSTGEN_COMP_2YR_TRANS_YR2_RT
      FIRSTGEN_WDRAW_ORIG_YR2_RT
      FIRSTGEN_WDRAW_4YR_TRANS_YR2_RT
      FIRSTGEN_WDRAW_2YR_TRANS_YR2_RT
      FIRSTGEN_ENRL_ORIG_YR2_RT
      FIRSTGEN_ENRL_4YR_TRANS_YR2_RT
      FIRSTGEN_ENRL_2YR_TRANS_YR2_RT
      FIRSTGEN_UNKN_ORIG_YR2_RT
      FIRSTGEN_UNKN_4YR_TRANS_YR2_RT
      FIRSTGEN_UNKN_2YR_TRANS_YR2_RT
      NOT1STGEN_DEATH_YR2_RT
      NOT1STGEN_COMP_ORIG_YR2_RT
      NOT1STGEN_COMP_4YR_TRANS_YR2_RT
      NOT1STGEN_COMP_2YR_TRANS_YR2_RT
      NOT1STGEN_WDRAW_ORIG_YR2_RT
      NOT1STGEN_WDRAW_4YR_TRANS_YR2_RT
      NOT1STGEN_WDRAW_2YR_TRANS_YR2_RT
      NOT1STGEN_ENRL_ORIG_YR2_RT
      NOT1STGEN_ENRL_4YR_TRANS_YR2_RT
      NOT1STGEN_ENRL_2YR_TRANS_YR2_RT
      NOT1STGEN_UNKN_ORIG_YR2_RT
      NOT1STGEN_UNKN_4YR_TRANS_YR2_RT
      NOT1STGEN_UNKN_2YR_TRANS_YR2_RT
      DEATH_YR3_RT
      COMP_ORIG_YR3_RT
      COMP_4YR_TRANS_YR3_RT
      COMP_2YR_TRANS_YR3_RT
      WDRAW_ORIG_YR3_RT
      WDRAW_4YR_TRANS_YR3_RT
      WDRAW_2YR_TRANS_YR3_RT
      ENRL_ORIG_YR3_RT
      ENRL_4YR_TRANS_YR3_RT
      ENRL_2YR_TRANS_YR3_RT
      UNKN_ORIG_YR3_RT
      UNKN_4YR_TRANS_YR3_RT
      UNKN_2YR_TRANS_YR3_RT
      LO_INC_DEATH_YR3_RT
      LO_INC_COMP_ORIG_YR3_RT
      LO_INC_COMP_4YR_TRANS_YR3_RT
      LO_INC_COMP_2YR_TRANS_YR3_RT
      LO_INC_WDRAW_ORIG_YR3_RT
      LO_INC_WDRAW_4YR_TRANS_YR3_RT
      LO_INC_WDRAW_2YR_TRANS_YR3_RT
      LO_INC_ENRL_ORIG_YR3_RT
      LO_INC_ENRL_4YR_TRANS_YR3_RT
      LO_INC_ENRL_2YR_TRANS_YR3_RT
      LO_INC_UNKN_ORIG_YR3_RT
      LO_INC_UNKN_4YR_TRANS_YR3_RT
      LO_INC_UNKN_2YR_TRANS_YR3_RT
      MD_INC_DEATH_YR3_RT
      MD_INC_COMP_ORIG_YR3_RT
      MD_INC_COMP_4YR_TRANS_YR3_RT
      MD_INC_COMP_2YR_TRANS_YR3_RT
      MD_INC_WDRAW_ORIG_YR3_RT
      MD_INC_WDRAW_4YR_TRANS_YR3_RT
      MD_INC_WDRAW_2YR_TRANS_YR3_RT
      MD_INC_ENRL_ORIG_YR3_RT
      MD_INC_ENRL_4YR_TRANS_YR3_RT
      MD_INC_ENRL_2YR_TRANS_YR3_RT
      MD_INC_UNKN_ORIG_YR3_RT
      MD_INC_UNKN_4YR_TRANS_YR3_RT
      MD_INC_UNKN_2YR_TRANS_YR3_RT
      HI_INC_DEATH_YR3_RT
      HI_INC_COMP_ORIG_YR3_RT
      HI_INC_COMP_4YR_TRANS_YR3_RT
      HI_INC_COMP_2YR_TRANS_YR3_RT
      HI_INC_WDRAW_ORIG_YR3_RT
      HI_INC_WDRAW_4YR_TRANS_YR3_RT
      HI_INC_WDRAW_2YR_TRANS_YR3_RT
      HI_INC_ENRL_ORIG_YR3_RT
      HI_INC_ENRL_4YR_TRANS_YR3_RT
      HI_INC_ENRL_2YR_TRANS_YR3_RT
      HI_INC_UNKN_ORIG_YR3_RT
      HI_INC_UNKN_4YR_TRANS_YR3_RT
      HI_INC_UNKN_2YR_TRANS_YR3_RT
      DEP_DEATH_YR3_RT
      DEP_COMP_ORIG_YR3_RT
      DEP_COMP_4YR_TRANS_YR3_RT
      DEP_COMP_2YR_TRANS_YR3_RT
      DEP_WDRAW_ORIG_YR3_RT
      DEP_WDRAW_4YR_TRANS_YR3_RT
      DEP_WDRAW_2YR_TRANS_YR3_RT
      DEP_ENRL_ORIG_YR3_RT
      DEP_ENRL_4YR_TRANS_YR3_RT
      DEP_ENRL_2YR_TRANS_YR3_RT
      DEP_UNKN_ORIG_YR3_RT
      DEP_UNKN_4YR_TRANS_YR3_RT
      DEP_UNKN_2YR_TRANS_YR3_RT
      IND_DEATH_YR3_RT
      IND_COMP_ORIG_YR3_RT
      IND_COMP_4YR_TRANS_YR3_RT
      IND_COMP_2YR_TRANS_YR3_RT
      IND_WDRAW_ORIG_YR3_RT
      IND_WDRAW_4YR_TRANS_YR3_RT
      IND_WDRAW_2YR_TRANS_YR3_RT
      IND_ENRL_ORIG_YR3_RT
      IND_ENRL_4YR_TRANS_YR3_RT
      IND_ENRL_2YR_TRANS_YR3_RT
      IND_UNKN_ORIG_YR3_RT
      IND_UNKN_4YR_TRANS_YR3_RT
      IND_UNKN_2YR_TRANS_YR3_RT
      FEMALE_DEATH_YR3_RT
      FEMALE_COMP_ORIG_YR3_RT
      FEMALE_COMP_4YR_TRANS_YR3_RT
      FEMALE_COMP_2YR_TRANS_YR3_RT
      FEMALE_WDRAW_ORIG_YR3_RT
      FEMALE_WDRAW_4YR_TRANS_YR3_RT
      FEMALE_WDRAW_2YR_TRANS_YR3_RT
      FEMALE_ENRL_ORIG_YR3_RT
      FEMALE_ENRL_4YR_TRANS_YR3_RT
      FEMALE_ENRL_2YR_TRANS_YR3_RT
      FEMALE_UNKN_ORIG_YR3_RT
      FEMALE_UNKN_4YR_TRANS_YR3_RT
      FEMALE_UNKN_2YR_TRANS_YR3_RT
      MALE_DEATH_YR3_RT
      MALE_COMP_ORIG_YR3_RT
      MALE_COMP_4YR_TRANS_YR3_RT
      MALE_COMP_2YR_TRANS_YR3_RT
      MALE_WDRAW_ORIG_YR3_RT
      MALE_WDRAW_4YR_TRANS_YR3_RT
      MALE_WDRAW_2YR_TRANS_YR3_RT
      MALE_ENRL_ORIG_YR3_RT
      MALE_ENRL_4YR_TRANS_YR3_RT
      MALE_ENRL_2YR_TRANS_YR3_RT
      MALE_UNKN_ORIG_YR3_RT
      MALE_UNKN_4YR_TRANS_YR3_RT
      MALE_UNKN_2YR_TRANS_YR3_RT
      PELL_DEATH_YR3_RT
      PELL_COMP_ORIG_YR3_RT
      PELL_COMP_4YR_TRANS_YR3_RT
      PELL_COMP_2YR_TRANS_YR3_RT
      PELL_WDRAW_ORIG_YR3_RT
      PELL_WDRAW_4YR_TRANS_YR3_RT
      PELL_WDRAW_2YR_TRANS_YR3_RT
      PELL_ENRL_ORIG_YR3_RT
      PELL_ENRL_4YR_TRANS_YR3_RT
      PELL_ENRL_2YR_TRANS_YR3_RT
      PELL_UNKN_ORIG_YR3_RT
      PELL_UNKN_4YR_TRANS_YR3_RT
      PELL_UNKN_2YR_TRANS_YR3_RT
      NOPELL_DEATH_YR3_RT
      NOPELL_COMP_ORIG_YR3_RT
      NOPELL_COMP_4YR_TRANS_YR3_RT
      NOPELL_COMP_2YR_TRANS_YR3_RT
      NOPELL_WDRAW_ORIG_YR3_RT
      NOPELL_WDRAW_4YR_TRANS_YR3_RT
      NOPELL_WDRAW_2YR_TRANS_YR3_RT
      NOPELL_ENRL_ORIG_YR3_RT
      NOPELL_ENRL_4YR_TRANS_YR3_RT
      NOPELL_ENRL_2YR_TRANS_YR3_RT
      NOPELL_UNKN_ORIG_YR3_RT
      NOPELL_UNKN_4YR_TRANS_YR3_RT
      NOPELL_UNKN_2YR_TRANS_YR3_RT
      LOAN_DEATH_YR3_RT
      LOAN_COMP_ORIG_YR3_RT
      LOAN_COMP_4YR_TRANS_YR3_RT
      LOAN_COMP_2YR_TRANS_YR3_RT
      LOAN_WDRAW_ORIG_YR3_RT
      LOAN_WDRAW_4YR_TRANS_YR3_RT
      LOAN_WDRAW_2YR_TRANS_YR3_RT
      LOAN_ENRL_ORIG_YR3_RT
      LOAN_ENRL_4YR_TRANS_YR3_RT
      LOAN_ENRL_2YR_TRANS_YR3_RT
      LOAN_UNKN_ORIG_YR3_RT
      LOAN_UNKN_4YR_TRANS_YR3_RT
      LOAN_UNKN_2YR_TRANS_YR3_RT
      NOLOAN_DEATH_YR3_RT
      NOLOAN_COMP_ORIG_YR3_RT
      NOLOAN_COMP_4YR_TRANS_YR3_RT
      NOLOAN_COMP_2YR_TRANS_YR3_RT
      NOLOAN_WDRAW_ORIG_YR3_RT
      NOLOAN_WDRAW_4YR_TRANS_YR3_RT
      NOLOAN_WDRAW_2YR_TRANS_YR3_RT
      NOLOAN_ENRL_ORIG_YR3_RT
      NOLOAN_ENRL_4YR_TRANS_YR3_RT
      NOLOAN_ENRL_2YR_TRANS_YR3_RT
      NOLOAN_UNKN_ORIG_YR3_RT
      NOLOAN_UNKN_4YR_TRANS_YR3_RT
      NOLOAN_UNKN_2YR_TRANS_YR3_RT
      FIRSTGEN_DEATH_YR3_RT
      FIRSTGEN_COMP_ORIG_YR3_RT
      FIRSTGEN_COMP_4YR_TRANS_YR3_RT
      FIRSTGEN_COMP_2YR_TRANS_YR3_RT
      FIRSTGEN_WDRAW_ORIG_YR3_RT
      FIRSTGEN_WDRAW_4YR_TRANS_YR3_RT
      FIRSTGEN_WDRAW_2YR_TRANS_YR3_RT
      FIRSTGEN_ENRL_ORIG_YR3_RT
      FIRSTGEN_ENRL_4YR_TRANS_YR3_RT
      FIRSTGEN_ENRL_2YR_TRANS_YR3_RT
      FIRSTGEN_UNKN_ORIG_YR3_RT
      FIRSTGEN_UNKN_4YR_TRANS_YR3_RT
      FIRSTGEN_UNKN_2YR_TRANS_YR3_RT
      NOT1STGEN_DEATH_YR3_RT
      NOT1STGEN_COMP_ORIG_YR3_RT
      NOT1STGEN_COMP_4YR_TRANS_YR3_RT
      NOT1STGEN_COMP_2YR_TRANS_YR3_RT
      NOT1STGEN_WDRAW_ORIG_YR3_RT
      NOT1STGEN_WDRAW_4YR_TRANS_YR3_RT
      NOT1STGEN_WDRAW_2YR_TRANS_YR3_RT
      NOT1STGEN_ENRL_ORIG_YR3_RT
      NOT1STGEN_ENRL_4YR_TRANS_YR3_RT
      NOT1STGEN_ENRL_2YR_TRANS_YR3_RT
      NOT1STGEN_UNKN_ORIG_YR3_RT
      NOT1STGEN_UNKN_4YR_TRANS_YR3_RT
      NOT1STGEN_UNKN_2YR_TRANS_YR3_RT
      DEATH_YR4_RT
      COMP_ORIG_YR4_RT
      COMP_4YR_TRANS_YR4_RT
      COMP_2YR_TRANS_YR4_RT
      WDRAW_ORIG_YR4_RT
      WDRAW_4YR_TRANS_YR4_RT
      WDRAW_2YR_TRANS_YR4_RT
      ENRL_ORIG_YR4_RT
      ENRL_4YR_TRANS_YR4_RT
      ENRL_2YR_TRANS_YR4_RT
      UNKN_ORIG_YR4_RT
      UNKN_4YR_TRANS_YR4_RT
      UNKN_2YR_TRANS_YR4_RT
      LO_INC_DEATH_YR4_RT
      LO_INC_COMP_ORIG_YR4_RT
      LO_INC_COMP_4YR_TRANS_YR4_RT
      LO_INC_COMP_2YR_TRANS_YR4_RT
      LO_INC_WDRAW_ORIG_YR4_RT
      LO_INC_WDRAW_4YR_TRANS_YR4_RT
      LO_INC_WDRAW_2YR_TRANS_YR4_RT
      LO_INC_ENRL_ORIG_YR4_RT
      LO_INC_ENRL_4YR_TRANS_YR4_RT
      LO_INC_ENRL_2YR_TRANS_YR4_RT
      LO_INC_UNKN_ORIG_YR4_RT
      LO_INC_UNKN_4YR_TRANS_YR4_RT
      LO_INC_UNKN_2YR_TRANS_YR4_RT
      MD_INC_DEATH_YR4_RT
      MD_INC_COMP_ORIG_YR4_RT
      MD_INC_COMP_4YR_TRANS_YR4_RT
      MD_INC_COMP_2YR_TRANS_YR4_RT
      MD_INC_WDRAW_ORIG_YR4_RT
      MD_INC_WDRAW_4YR_TRANS_YR4_RT
      MD_INC_WDRAW_2YR_TRANS_YR4_RT
      MD_INC_ENRL_ORIG_YR4_RT
      MD_INC_ENRL_4YR_TRANS_YR4_RT
      MD_INC_ENRL_2YR_TRANS_YR4_RT
      MD_INC_UNKN_ORIG_YR4_RT
      MD_INC_UNKN_4YR_TRANS_YR4_RT
      MD_INC_UNKN_2YR_TRANS_YR4_RT
      HI_INC_DEATH_YR4_RT
      HI_INC_COMP_ORIG_YR4_RT
      HI_INC_COMP_4YR_TRANS_YR4_RT
      HI_INC_COMP_2YR_TRANS_YR4_RT
      HI_INC_WDRAW_ORIG_YR4_RT
      HI_INC_WDRAW_4YR_TRANS_YR4_RT
      HI_INC_WDRAW_2YR_TRANS_YR4_RT
      HI_INC_ENRL_ORIG_YR4_RT
      HI_INC_ENRL_4YR_TRANS_YR4_RT
      HI_INC_ENRL_2YR_TRANS_YR4_RT
      HI_INC_UNKN_ORIG_YR4_RT
      HI_INC_UNKN_4YR_TRANS_YR4_RT
      HI_INC_UNKN_2YR_TRANS_YR4_RT
      DEP_DEATH_YR4_RT
      DEP_COMP_ORIG_YR4_RT
      DEP_COMP_4YR_TRANS_YR4_RT
      DEP_COMP_2YR_TRANS_YR4_RT
      DEP_WDRAW_ORIG_YR4_RT
      DEP_WDRAW_4YR_TRANS_YR4_RT
      DEP_WDRAW_2YR_TRANS_YR4_RT
      DEP_ENRL_ORIG_YR4_RT
      DEP_ENRL_4YR_TRANS_YR4_RT
      DEP_ENRL_2YR_TRANS_YR4_RT
      DEP_UNKN_ORIG_YR4_RT
      DEP_UNKN_4YR_TRANS_YR4_RT
      DEP_UNKN_2YR_TRANS_YR4_RT
      IND_DEATH_YR4_RT
      IND_COMP_ORIG_YR4_RT
      IND_COMP_4YR_TRANS_YR4_RT
      IND_COMP_2YR_TRANS_YR4_RT
      IND_WDRAW_ORIG_YR4_RT
      IND_WDRAW_4YR_TRANS_YR4_RT
      IND_WDRAW_2YR_TRANS_YR4_RT
      IND_ENRL_ORIG_YR4_RT
      IND_ENRL_4YR_TRANS_YR4_RT
      IND_ENRL_2YR_TRANS_YR4_RT
      IND_UNKN_ORIG_YR4_RT
      IND_UNKN_4YR_TRANS_YR4_RT
      IND_UNKN_2YR_TRANS_YR4_RT
      FEMALE_DEATH_YR4_RT
      FEMALE_COMP_ORIG_YR4_RT
      FEMALE_COMP_4YR_TRANS_YR4_RT
      FEMALE_COMP_2YR_TRANS_YR4_RT
      FEMALE_WDRAW_ORIG_YR4_RT
      FEMALE_WDRAW_4YR_TRANS_YR4_RT
      FEMALE_WDRAW_2YR_TRANS_YR4_RT
      FEMALE_ENRL_ORIG_YR4_RT
      FEMALE_ENRL_4YR_TRANS_YR4_RT
      FEMALE_ENRL_2YR_TRANS_YR4_RT
      FEMALE_UNKN_ORIG_YR4_RT
      FEMALE_UNKN_4YR_TRANS_YR4_RT
      FEMALE_UNKN_2YR_TRANS_YR4_RT
      MALE_DEATH_YR4_RT
      MALE_COMP_ORIG_YR4_RT
      MALE_COMP_4YR_TRANS_YR4_RT
      MALE_COMP_2YR_TRANS_YR4_RT
      MALE_WDRAW_ORIG_YR4_RT
      MALE_WDRAW_4YR_TRANS_YR4_RT
      MALE_WDRAW_2YR_TRANS_YR4_RT
      MALE_ENRL_ORIG_YR4_RT
      MALE_ENRL_4YR_TRANS_YR4_RT
      MALE_ENRL_2YR_TRANS_YR4_RT
      MALE_UNKN_ORIG_YR4_RT
      MALE_UNKN_4YR_TRANS_YR4_RT
      MALE_UNKN_2YR_TRANS_YR4_RT
      PELL_DEATH_YR4_RT
      PELL_COMP_ORIG_YR4_RT
      PELL_COMP_4YR_TRANS_YR4_RT
      PELL_COMP_2YR_TRANS_YR4_RT
      PELL_WDRAW_ORIG_YR4_RT
      PELL_WDRAW_4YR_TRANS_YR4_RT
      PELL_WDRAW_2YR_TRANS_YR4_RT
      PELL_ENRL_ORIG_YR4_RT
      PELL_ENRL_4YR_TRANS_YR4_RT
      PELL_ENRL_2YR_TRANS_YR4_RT
      PELL_UNKN_ORIG_YR4_RT
      PELL_UNKN_4YR_TRANS_YR4_RT
      PELL_UNKN_2YR_TRANS_YR4_RT
      NOPELL_DEATH_YR4_RT
      NOPELL_COMP_ORIG_YR4_RT
      NOPELL_COMP_4YR_TRANS_YR4_RT
      NOPELL_COMP_2YR_TRANS_YR4_RT
      NOPELL_WDRAW_ORIG_YR4_RT
      NOPELL_WDRAW_4YR_TRANS_YR4_RT
      NOPELL_WDRAW_2YR_TRANS_YR4_RT
      NOPELL_ENRL_ORIG_YR4_RT
      NOPELL_ENRL_4YR_TRANS_YR4_RT
      NOPELL_ENRL_2YR_TRANS_YR4_RT
      NOPELL_UNKN_ORIG_YR4_RT
      NOPELL_UNKN_4YR_TRANS_YR4_RT
      NOPELL_UNKN_2YR_TRANS_YR4_RT
      LOAN_DEATH_YR4_RT
      LOAN_COMP_ORIG_YR4_RT
      LOAN_COMP_4YR_TRANS_YR4_RT
      LOAN_COMP_2YR_TRANS_YR4_RT
      LOAN_WDRAW_ORIG_YR4_RT
      LOAN_WDRAW_4YR_TRANS_YR4_RT
      LOAN_WDRAW_2YR_TRANS_YR4_RT
      LOAN_ENRL_ORIG_YR4_RT
      LOAN_ENRL_4YR_TRANS_YR4_RT
      LOAN_ENRL_2YR_TRANS_YR4_RT
      LOAN_UNKN_ORIG_YR4_RT
      LOAN_UNKN_4YR_TRANS_YR4_RT
      LOAN_UNKN_2YR_TRANS_YR4_RT
      NOLOAN_DEATH_YR4_RT
      NOLOAN_COMP_ORIG_YR4_RT
      NOLOAN_COMP_4YR_TRANS_YR4_RT
      NOLOAN_COMP_2YR_TRANS_YR4_RT
      NOLOAN_WDRAW_ORIG_YR4_RT
      NOLOAN_WDRAW_4YR_TRANS_YR4_RT
      NOLOAN_WDRAW_2YR_TRANS_YR4_RT
      NOLOAN_ENRL_ORIG_YR4_RT
      NOLOAN_ENRL_4YR_TRANS_YR4_RT
      NOLOAN_ENRL_2YR_TRANS_YR4_RT
      NOLOAN_UNKN_ORIG_YR4_RT
      NOLOAN_UNKN_4YR_TRANS_YR4_RT
      NOLOAN_UNKN_2YR_TRANS_YR4_RT
      FIRSTGEN_DEATH_YR4_RT
      FIRSTGEN_COMP_ORIG_YR4_RT
      FIRSTGEN_COMP_4YR_TRANS_YR4_RT
      FIRSTGEN_COMP_2YR_TRANS_YR4_RT
      FIRSTGEN_WDRAW_ORIG_YR4_RT
      FIRSTGEN_WDRAW_4YR_TRANS_YR4_RT
      FIRSTGEN_WDRAW_2YR_TRANS_YR4_RT
      FIRSTGEN_ENRL_ORIG_YR4_RT
      FIRSTGEN_ENRL_4YR_TRANS_YR4_RT
      FIRSTGEN_ENRL_2YR_TRANS_YR4_RT
      FIRSTGEN_UNKN_ORIG_YR4_RT
      FIRSTGEN_UNKN_4YR_TRANS_YR4_RT
      FIRSTGEN_UNKN_2YR_TRANS_YR4_RT
      NOT1STGEN_DEATH_YR4_RT
      NOT1STGEN_COMP_ORIG_YR4_RT
      NOT1STGEN_COMP_4YR_TRANS_YR4_RT
      NOT1STGEN_COMP_2YR_TRANS_YR4_RT
      NOT1STGEN_WDRAW_ORIG_YR4_RT
      NOT1STGEN_WDRAW_4YR_TRANS_YR4_RT
      NOT1STGEN_WDRAW_2YR_TRANS_YR4_RT
      NOT1STGEN_ENRL_ORIG_YR4_RT
      NOT1STGEN_ENRL_4YR_TRANS_YR4_RT
      NOT1STGEN_ENRL_2YR_TRANS_YR4_RT
      NOT1STGEN_UNKN_ORIG_YR4_RT
      NOT1STGEN_UNKN_4YR_TRANS_YR4_RT
      NOT1STGEN_UNKN_2YR_TRANS_YR4_RT
      DEATH_YR6_RT
      COMP_ORIG_YR6_RT
      COMP_4YR_TRANS_YR6_RT
      COMP_2YR_TRANS_YR6_RT
      WDRAW_ORIG_YR6_RT
      WDRAW_4YR_TRANS_YR6_RT
      WDRAW_2YR_TRANS_YR6_RT
      ENRL_ORIG_YR6_RT
      ENRL_4YR_TRANS_YR6_RT
      ENRL_2YR_TRANS_YR6_RT
      UNKN_ORIG_YR6_RT
      UNKN_4YR_TRANS_YR6_RT
      UNKN_2YR_TRANS_YR6_RT
      LO_INC_DEATH_YR6_RT
      LO_INC_COMP_ORIG_YR6_RT
      LO_INC_COMP_4YR_TRANS_YR6_RT
      LO_INC_COMP_2YR_TRANS_YR6_RT
      LO_INC_WDRAW_ORIG_YR6_RT
      LO_INC_WDRAW_4YR_TRANS_YR6_RT
      LO_INC_WDRAW_2YR_TRANS_YR6_RT
      LO_INC_ENRL_ORIG_YR6_RT
      LO_INC_ENRL_4YR_TRANS_YR6_RT
      LO_INC_ENRL_2YR_TRANS_YR6_RT
      LO_INC_UNKN_ORIG_YR6_RT
      LO_INC_UNKN_4YR_TRANS_YR6_RT
      LO_INC_UNKN_2YR_TRANS_YR6_RT
      MD_INC_DEATH_YR6_RT
      MD_INC_COMP_ORIG_YR6_RT
      MD_INC_COMP_4YR_TRANS_YR6_RT
      MD_INC_COMP_2YR_TRANS_YR6_RT
      MD_INC_WDRAW_ORIG_YR6_RT
      MD_INC_WDRAW_4YR_TRANS_YR6_RT
      MD_INC_WDRAW_2YR_TRANS_YR6_RT
      MD_INC_ENRL_ORIG_YR6_RT
      MD_INC_ENRL_4YR_TRANS_YR6_RT
      MD_INC_ENRL_2YR_TRANS_YR6_RT
      MD_INC_UNKN_ORIG_YR6_RT
      MD_INC_UNKN_4YR_TRANS_YR6_RT
      MD_INC_UNKN_2YR_TRANS_YR6_RT
      HI_INC_DEATH_YR6_RT
      HI_INC_COMP_ORIG_YR6_RT
      HI_INC_COMP_4YR_TRANS_YR6_RT
      HI_INC_COMP_2YR_TRANS_YR6_RT
      HI_INC_WDRAW_ORIG_YR6_RT
      HI_INC_WDRAW_4YR_TRANS_YR6_RT
      HI_INC_WDRAW_2YR_TRANS_YR6_RT
      HI_INC_ENRL_ORIG_YR6_RT
      HI_INC_ENRL_4YR_TRANS_YR6_RT
      HI_INC_ENRL_2YR_TRANS_YR6_RT
      HI_INC_UNKN_ORIG_YR6_RT
      HI_INC_UNKN_4YR_TRANS_YR6_RT
      HI_INC_UNKN_2YR_TRANS_YR6_RT
      DEP_DEATH_YR6_RT
      DEP_COMP_ORIG_YR6_RT
      DEP_COMP_4YR_TRANS_YR6_RT
      DEP_COMP_2YR_TRANS_YR6_RT
      DEP_WDRAW_ORIG_YR6_RT
      DEP_WDRAW_4YR_TRANS_YR6_RT
      DEP_WDRAW_2YR_TRANS_YR6_RT
      DEP_ENRL_ORIG_YR6_RT
      DEP_ENRL_4YR_TRANS_YR6_RT
      DEP_ENRL_2YR_TRANS_YR6_RT
      DEP_UNKN_ORIG_YR6_RT
      DEP_UNKN_4YR_TRANS_YR6_RT
      DEP_UNKN_2YR_TRANS_YR6_RT
      IND_DEATH_YR6_RT
      IND_COMP_ORIG_YR6_RT
      IND_COMP_4YR_TRANS_YR6_RT
      IND_COMP_2YR_TRANS_YR6_RT
      IND_WDRAW_ORIG_YR6_RT
      IND_WDRAW_4YR_TRANS_YR6_RT
      IND_WDRAW_2YR_TRANS_YR6_RT
      IND_ENRL_ORIG_YR6_RT
      IND_ENRL_4YR_TRANS_YR6_RT
      IND_ENRL_2YR_TRANS_YR6_RT
      IND_UNKN_ORIG_YR6_RT
      IND_UNKN_4YR_TRANS_YR6_RT
      IND_UNKN_2YR_TRANS_YR6_RT
      FEMALE_DEATH_YR6_RT
      FEMALE_COMP_ORIG_YR6_RT
      FEMALE_COMP_4YR_TRANS_YR6_RT
      FEMALE_COMP_2YR_TRANS_YR6_RT
      FEMALE_WDRAW_ORIG_YR6_RT
      FEMALE_WDRAW_4YR_TRANS_YR6_RT
      FEMALE_WDRAW_2YR_TRANS_YR6_RT
      FEMALE_ENRL_ORIG_YR6_RT
      FEMALE_ENRL_4YR_TRANS_YR6_RT
      FEMALE_ENRL_2YR_TRANS_YR6_RT
      FEMALE_UNKN_ORIG_YR6_RT
      FEMALE_UNKN_4YR_TRANS_YR6_RT
      FEMALE_UNKN_2YR_TRANS_YR6_RT
      MALE_DEATH_YR6_RT
      MALE_COMP_ORIG_YR6_RT
      MALE_COMP_4YR_TRANS_YR6_RT
      MALE_COMP_2YR_TRANS_YR6_RT
      MALE_WDRAW_ORIG_YR6_RT
      MALE_WDRAW_4YR_TRANS_YR6_RT
      MALE_WDRAW_2YR_TRANS_YR6_RT
      MALE_ENRL_ORIG_YR6_RT
      MALE_ENRL_4YR_TRANS_YR6_RT
      MALE_ENRL_2YR_TRANS_YR6_RT
      MALE_UNKN_ORIG_YR6_RT
      MALE_UNKN_4YR_TRANS_YR6_RT
      MALE_UNKN_2YR_TRANS_YR6_RT
      PELL_DEATH_YR6_RT
      PELL_COMP_ORIG_YR6_RT
      PELL_COMP_4YR_TRANS_YR6_RT
      PELL_COMP_2YR_TRANS_YR6_RT
      PELL_WDRAW_ORIG_YR6_RT
      PELL_WDRAW_4YR_TRANS_YR6_RT
      PELL_WDRAW_2YR_TRANS_YR6_RT
      PELL_ENRL_ORIG_YR6_RT
      PELL_ENRL_4YR_TRANS_YR6_RT
      PELL_ENRL_2YR_TRANS_YR6_RT
      PELL_UNKN_ORIG_YR6_RT
      PELL_UNKN_4YR_TRANS_YR6_RT
      PELL_UNKN_2YR_TRANS_YR6_RT
      NOPELL_DEATH_YR6_RT
      NOPELL_COMP_ORIG_YR6_RT
      NOPELL_COMP_4YR_TRANS_YR6_RT
      NOPELL_COMP_2YR_TRANS_YR6_RT
      NOPELL_WDRAW_ORIG_YR6_RT
      NOPELL_WDRAW_4YR_TRANS_YR6_RT
      NOPELL_WDRAW_2YR_TRANS_YR6_RT
      NOPELL_ENRL_ORIG_YR6_RT
      NOPELL_ENRL_4YR_TRANS_YR6_RT
      NOPELL_ENRL_2YR_TRANS_YR6_RT
      NOPELL_UNKN_ORIG_YR6_RT
      NOPELL_UNKN_4YR_TRANS_YR6_RT
      NOPELL_UNKN_2YR_TRANS_YR6_RT
      LOAN_DEATH_YR6_RT
      LOAN_COMP_ORIG_YR6_RT
      LOAN_COMP_4YR_TRANS_YR6_RT
      LOAN_COMP_2YR_TRANS_YR6_RT
      LOAN_WDRAW_ORIG_YR6_RT
      LOAN_WDRAW_4YR_TRANS_YR6_RT
      LOAN_WDRAW_2YR_TRANS_YR6_RT
      LOAN_ENRL_ORIG_YR6_RT
      LOAN_ENRL_4YR_TRANS_YR6_RT
      LOAN_ENRL_2YR_TRANS_YR6_RT
      LOAN_UNKN_ORIG_YR6_RT
      LOAN_UNKN_4YR_TRANS_YR6_RT
      LOAN_UNKN_2YR_TRANS_YR6_RT
      NOLOAN_DEATH_YR6_RT
      NOLOAN_COMP_ORIG_YR6_RT
      NOLOAN_COMP_4YR_TRANS_YR6_RT
      NOLOAN_COMP_2YR_TRANS_YR6_RT
      NOLOAN_WDRAW_ORIG_YR6_RT
      NOLOAN_WDRAW_4YR_TRANS_YR6_RT
      NOLOAN_WDRAW_2YR_TRANS_YR6_RT
      NOLOAN_ENRL_ORIG_YR6_RT
      NOLOAN_ENRL_4YR_TRANS_YR6_RT
      NOLOAN_ENRL_2YR_TRANS_YR6_RT
      NOLOAN_UNKN_ORIG_YR6_RT
      NOLOAN_UNKN_4YR_TRANS_YR6_RT
      NOLOAN_UNKN_2YR_TRANS_YR6_RT
      FIRSTGEN_DEATH_YR6_RT
      FIRSTGEN_COMP_ORIG_YR6_RT
      FIRSTGEN_COMP_4YR_TRANS_YR6_RT
      FIRSTGEN_COMP_2YR_TRANS_YR6_RT
      FIRSTGEN_WDRAW_ORIG_YR6_RT
      FIRSTGEN_WDRAW_4YR_TRANS_YR6_RT
      FIRSTGEN_WDRAW_2YR_TRANS_YR6_RT
      FIRSTGEN_ENRL_ORIG_YR6_RT
      FIRSTGEN_ENRL_4YR_TRANS_YR6_RT
      FIRSTGEN_ENRL_2YR_TRANS_YR6_RT
      FIRSTGEN_UNKN_ORIG_YR6_RT
      FIRSTGEN_UNKN_4YR_TRANS_YR6_RT
      FIRSTGEN_UNKN_2YR_TRANS_YR6_RT
      NOT1STGEN_DEATH_YR6_RT
      NOT1STGEN_COMP_ORIG_YR6_RT
      NOT1STGEN_COMP_4YR_TRANS_YR6_RT
      NOT1STGEN_COMP_2YR_TRANS_YR6_RT
      NOT1STGEN_WDRAW_ORIG_YR6_RT
      NOT1STGEN_WDRAW_4YR_TRANS_YR6_RT
      NOT1STGEN_WDRAW_2YR_TRANS_YR6_RT
      NOT1STGEN_ENRL_ORIG_YR6_RT
      NOT1STGEN_ENRL_4YR_TRANS_YR6_RT
      NOT1STGEN_ENRL_2YR_TRANS_YR6_RT
      NOT1STGEN_UNKN_ORIG_YR6_RT
      NOT1STGEN_UNKN_4YR_TRANS_YR6_RT
      NOT1STGEN_UNKN_2YR_TRANS_YR6_RT
      DEATH_YR8_RT
      COMP_ORIG_YR8_RT
      COMP_4YR_TRANS_YR8_RT
      COMP_2YR_TRANS_YR8_RT
      WDRAW_ORIG_YR8_RT
      WDRAW_4YR_TRANS_YR8_RT
      WDRAW_2YR_TRANS_YR8_RT
      ENRL_ORIG_YR8_RT
      ENRL_4YR_TRANS_YR8_RT
      ENRL_2YR_TRANS_YR8_RT
      UNKN_ORIG_YR8_RT
      UNKN_4YR_TRANS_YR8_RT
      UNKN_2YR_TRANS_YR8_RT
      LO_INC_DEATH_YR8_RT
      LO_INC_COMP_ORIG_YR8_RT
      LO_INC_COMP_4YR_TRANS_YR8_RT
      LO_INC_COMP_2YR_TRANS_YR8_RT
      LO_INC_WDRAW_ORIG_YR8_RT
      LO_INC_WDRAW_4YR_TRANS_YR8_RT
      LO_INC_WDRAW_2YR_TRANS_YR8_RT
      LO_INC_ENRL_ORIG_YR8_RT
      LO_INC_ENRL_4YR_TRANS_YR8_RT
      LO_INC_ENRL_2YR_TRANS_YR8_RT
      LO_INC_UNKN_ORIG_YR8_RT
      LO_INC_UNKN_4YR_TRANS_YR8_RT
      LO_INC_UNKN_2YR_TRANS_YR8_RT
      MD_INC_DEATH_YR8_RT
      MD_INC_COMP_ORIG_YR8_RT
      MD_INC_COMP_4YR_TRANS_YR8_RT
      MD_INC_COMP_2YR_TRANS_YR8_RT
      MD_INC_WDRAW_ORIG_YR8_RT
      MD_INC_WDRAW_4YR_TRANS_YR8_RT
      MD_INC_WDRAW_2YR_TRANS_YR8_RT
      MD_INC_ENRL_ORIG_YR8_RT
      MD_INC_ENRL_4YR_TRANS_YR8_RT
      MD_INC_ENRL_2YR_TRANS_YR8_RT
      MD_INC_UNKN_ORIG_YR8_RT
      MD_INC_UNKN_4YR_TRANS_YR8_RT
      MD_INC_UNKN_2YR_TRANS_YR8_RT
      HI_INC_DEATH_YR8_RT
      HI_INC_COMP_ORIG_YR8_RT
      HI_INC_COMP_4YR_TRANS_YR8_RT
      HI_INC_COMP_2YR_TRANS_YR8_RT
      HI_INC_WDRAW_ORIG_YR8_RT
      HI_INC_WDRAW_4YR_TRANS_YR8_RT
      HI_INC_WDRAW_2YR_TRANS_YR8_RT
      HI_INC_ENRL_ORIG_YR8_RT
      HI_INC_ENRL_4YR_TRANS_YR8_RT
      HI_INC_ENRL_2YR_TRANS_YR8_RT
      HI_INC_UNKN_ORIG_YR8_RT
      HI_INC_UNKN_4YR_TRANS_YR8_RT
      HI_INC_UNKN_2YR_TRANS_YR8_RT
      DEP_DEATH_YR8_RT
      DEP_COMP_ORIG_YR8_RT
      DEP_COMP_4YR_TRANS_YR8_RT
      DEP_COMP_2YR_TRANS_YR8_RT
      DEP_WDRAW_ORIG_YR8_RT
      DEP_WDRAW_4YR_TRANS_YR8_RT
      DEP_WDRAW_2YR_TRANS_YR8_RT
      DEP_ENRL_ORIG_YR8_RT
      DEP_ENRL_4YR_TRANS_YR8_RT
      DEP_ENRL_2YR_TRANS_YR8_RT
      DEP_UNKN_ORIG_YR8_RT
      DEP_UNKN_4YR_TRANS_YR8_RT
      DEP_UNKN_2YR_TRANS_YR8_RT
      IND_DEATH_YR8_RT
      IND_COMP_ORIG_YR8_RT
      IND_COMP_4YR_TRANS_YR8_RT
      IND_COMP_2YR_TRANS_YR8_RT
      IND_WDRAW_ORIG_YR8_RT
      IND_WDRAW_4YR_TRANS_YR8_RT
      IND_WDRAW_2YR_TRANS_YR8_RT
      IND_ENRL_ORIG_YR8_RT
      IND_ENRL_4YR_TRANS_YR8_RT
      IND_ENRL_2YR_TRANS_YR8_RT
      IND_UNKN_ORIG_YR8_RT
      IND_UNKN_4YR_TRANS_YR8_RT
      IND_UNKN_2YR_TRANS_YR8_RT
      FEMALE_DEATH_YR8_RT
      FEMALE_COMP_ORIG_YR8_RT
      FEMALE_COMP_4YR_TRANS_YR8_RT
      FEMALE_COMP_2YR_TRANS_YR8_RT
      FEMALE_WDRAW_ORIG_YR8_RT
      FEMALE_WDRAW_4YR_TRANS_YR8_RT
      FEMALE_WDRAW_2YR_TRANS_YR8_RT
      FEMALE_ENRL_ORIG_YR8_RT
      FEMALE_ENRL_4YR_TRANS_YR8_RT
      FEMALE_ENRL_2YR_TRANS_YR8_RT
      FEMALE_UNKN_ORIG_YR8_RT
      FEMALE_UNKN_4YR_TRANS_YR8_RT
      FEMALE_UNKN_2YR_TRANS_YR8_RT
      MALE_DEATH_YR8_RT
      MALE_COMP_ORIG_YR8_RT
      MALE_COMP_4YR_TRANS_YR8_RT
      MALE_COMP_2YR_TRANS_YR8_RT
      MALE_WDRAW_ORIG_YR8_RT
      MALE_WDRAW_4YR_TRANS_YR8_RT
      MALE_WDRAW_2YR_TRANS_YR8_RT
      MALE_ENRL_ORIG_YR8_RT
      MALE_ENRL_4YR_TRANS_YR8_RT
      MALE_ENRL_2YR_TRANS_YR8_RT
      MALE_UNKN_ORIG_YR8_RT
      MALE_UNKN_4YR_TRANS_YR8_RT
      MALE_UNKN_2YR_TRANS_YR8_RT
      PELL_DEATH_YR8_RT
      PELL_COMP_ORIG_YR8_RT
      PELL_COMP_4YR_TRANS_YR8_RT
      PELL_COMP_2YR_TRANS_YR8_RT
      PELL_WDRAW_ORIG_YR8_RT
      PELL_WDRAW_4YR_TRANS_YR8_RT
      PELL_WDRAW_2YR_TRANS_YR8_RT
      PELL_ENRL_ORIG_YR8_RT
      PELL_ENRL_4YR_TRANS_YR8_RT
      PELL_ENRL_2YR_TRANS_YR8_RT
      PELL_UNKN_ORIG_YR8_RT
      PELL_UNKN_4YR_TRANS_YR8_RT
      PELL_UNKN_2YR_TRANS_YR8_RT
      NOPELL_DEATH_YR8_RT
      NOPELL_COMP_ORIG_YR8_RT
      NOPELL_COMP_4YR_TRANS_YR8_RT
      NOPELL_COMP_2YR_TRANS_YR8_RT
      NOPELL_WDRAW_ORIG_YR8_RT
      NOPELL_WDRAW_4YR_TRANS_YR8_RT
      NOPELL_WDRAW_2YR_TRANS_YR8_RT
      NOPELL_ENRL_ORIG_YR8_RT
      NOPELL_ENRL_4YR_TRANS_YR8_RT
      NOPELL_ENRL_2YR_TRANS_YR8_RT
      NOPELL_UNKN_ORIG_YR8_RT
      NOPELL_UNKN_4YR_TRANS_YR8_RT
      NOPELL_UNKN_2YR_TRANS_YR8_RT
      LOAN_DEATH_YR8_RT
      LOAN_COMP_ORIG_YR8_RT
      LOAN_COMP_4YR_TRANS_YR8_RT
      LOAN_COMP_2YR_TRANS_YR8_RT
      LOAN_WDRAW_ORIG_YR8_RT
      LOAN_WDRAW_4YR_TRANS_YR8_RT
      LOAN_WDRAW_2YR_TRANS_YR8_RT
      LOAN_ENRL_ORIG_YR8_RT
      LOAN_ENRL_4YR_TRANS_YR8_RT
      LOAN_ENRL_2YR_TRANS_YR8_RT
      LOAN_UNKN_ORIG_YR8_RT
      LOAN_UNKN_4YR_TRANS_YR8_RT
      LOAN_UNKN_2YR_TRANS_YR8_RT
      NOLOAN_DEATH_YR8_RT
      NOLOAN_COMP_ORIG_YR8_RT
      NOLOAN_COMP_4YR_TRANS_YR8_RT
      NOLOAN_COMP_2YR_TRANS_YR8_RT
      NOLOAN_WDRAW_ORIG_YR8_RT
      NOLOAN_WDRAW_4YR_TRANS_YR8_RT
      NOLOAN_WDRAW_2YR_TRANS_YR8_RT
      NOLOAN_ENRL_ORIG_YR8_RT
      NOLOAN_ENRL_4YR_TRANS_YR8_RT
      NOLOAN_ENRL_2YR_TRANS_YR8_RT
      NOLOAN_UNKN_ORIG_YR8_RT
      NOLOAN_UNKN_4YR_TRANS_YR8_RT
      NOLOAN_UNKN_2YR_TRANS_YR8_RT
      FIRSTGEN_DEATH_YR8_RT
      FIRSTGEN_COMP_ORIG_YR8_RT
      FIRSTGEN_COMP_4YR_TRANS_YR8_RT
      FIRSTGEN_COMP_2YR_TRANS_YR8_RT
      FIRSTGEN_WDRAW_ORIG_YR8_RT
      FIRSTGEN_WDRAW_4YR_TRANS_YR8_RT
      FIRSTGEN_WDRAW_2YR_TRANS_YR8_RT
      FIRSTGEN_ENRL_ORIG_YR8_RT
      FIRSTGEN_ENRL_4YR_TRANS_YR8_RT
      FIRSTGEN_ENRL_2YR_TRANS_YR8_RT
      FIRSTGEN_UNKN_ORIG_YR8_RT
      FIRSTGEN_UNKN_4YR_TRANS_YR8_RT
      FIRSTGEN_UNKN_2YR_TRANS_YR8_RT
      NOT1STGEN_DEATH_YR8_RT
      NOT1STGEN_COMP_ORIG_YR8_RT
      NOT1STGEN_COMP_4YR_TRANS_YR8_RT
      NOT1STGEN_COMP_2YR_TRANS_YR8_RT
      NOT1STGEN_WDRAW_ORIG_YR8_RT
      NOT1STGEN_WDRAW_4YR_TRANS_YR8_RT
      NOT1STGEN_WDRAW_2YR_TRANS_YR8_RT
      NOT1STGEN_ENRL_ORIG_YR8_RT
      NOT1STGEN_ENRL_4YR_TRANS_YR8_RT
      NOT1STGEN_ENRL_2YR_TRANS_YR8_RT
      NOT1STGEN_UNKN_ORIG_YR8_RT
      NOT1STGEN_UNKN_4YR_TRANS_YR8_RT
      NOT1STGEN_UNKN_2YR_TRANS_YR8_RT
      RPY_1YR_RT
      COMPL_RPY_1YR_RT
      NONCOM_RPY_1YR_RT
      LO_INC_RPY_1YR_RT
      MD_INC_RPY_1YR_RT
      HI_INC_RPY_1YR_RT
      DEP_RPY_1YR_RT
      IND_RPY_1YR_RT
      PELL_RPY_1YR_RT
      NOPELL_RPY_1YR_RT
      FEMALE_RPY_1YR_RT
      MALE_RPY_1YR_RT
      FIRSTGEN_RPY_1YR_RT
      NOTFIRSTGEN_RPY_1YR_RT
      RPY_3YR_RT
      COMPL_RPY_3YR_RT
      NONCOM_RPY_3YR_RT
      LO_INC_RPY_3YR_RT
      MD_INC_RPY_3YR_RT
      HI_INC_RPY_3YR_RT
      DEP_RPY_3YR_RT
      IND_RPY_3YR_RT
      PELL_RPY_3YR_RT
      NOPELL_RPY_3YR_RT
      FEMALE_RPY_3YR_RT
      MALE_RPY_3YR_RT
      FIRSTGEN_RPY_3YR_RT
      NOTFIRSTGEN_RPY_3YR_RT
      RPY_5YR_RT
      COMPL_RPY_5YR_RT
      NONCOM_RPY_5YR_RT
      LO_INC_RPY_5YR_RT
      MD_INC_RPY_5YR_RT
      HI_INC_RPY_5YR_RT
      DEP_RPY_5YR_RT
      IND_RPY_5YR_RT
      PELL_RPY_5YR_RT
      NOPELL_RPY_5YR_RT
      FEMALE_RPY_5YR_RT
      MALE_RPY_5YR_RT
      FIRSTGEN_RPY_5YR_RT
      NOTFIRSTGEN_RPY_5YR_RT
      RPY_7YR_RT
      COMPL_RPY_7YR_RT
      NONCOM_RPY_7YR_RT
      LO_INC_RPY_7YR_RT
      MD_INC_RPY_7YR_RT
      HI_INC_RPY_7YR_RT
      DEP_RPY_7YR_RT
      IND_RPY_7YR_RT
      PELL_RPY_7YR_RT
      NOPELL_RPY_7YR_RT
      FEMALE_RPY_7YR_RT
      MALE_RPY_7YR_RT
      FIRSTGEN_RPY_7YR_RT
      NOTFIRSTGEN_RPY_7YR_RT
      INC_PCT_LO
      DEP_STAT_PCT_IND
      DEP_INC_PCT_LO
      IND_INC_PCT_LO
      PAR_ED_PCT_1STGEN
      INC_PCT_M1
      INC_PCT_M2
      INC_PCT_H1
      INC_PCT_H2
      DEP_INC_PCT_M1
      DEP_INC_PCT_M2
      DEP_INC_PCT_H1
      DEP_INC_PCT_H2
      IND_INC_PCT_M1
      IND_INC_PCT_M2
      IND_INC_PCT_H1
      IND_INC_PCT_H2
      PAR_ED_PCT_MS
      PAR_ED_PCT_HS
      PAR_ED_PCT_PS
      APPL_SCH_PCT_GE2
      APPL_SCH_PCT_GE3
      APPL_SCH_PCT_GE4
      APPL_SCH_PCT_GE5
      DEP_INC_AVG
      IND_INC_AVG
      OVERALL_YR2_N
      LO_INC_YR2_N
      MD_INC_YR2_N
      HI_INC_YR2_N
      DEP_YR2_N
      IND_YR2_N
      FEMALE_YR2_N
      MALE_YR2_N
      PELL_YR2_N
      NOPELL_YR2_N
      LOAN_YR2_N
      NOLOAN_YR2_N
      FIRSTGEN_YR2_N
      NOT1STGEN_YR2_N
      OVERALL_YR3_N
      LO_INC_YR3_N
      MD_INC_YR3_N
      HI_INC_YR3_N
      DEP_YR3_N
      IND_YR3_N
      FEMALE_YR3_N
      MALE_YR3_N
      PELL_YR3_N
      NOPELL_YR3_N
      LOAN_YR3_N
      NOLOAN_YR3_N
      FIRSTGEN_YR3_N
      NOT1STGEN_YR3_N
      OVERALL_YR4_N
      LO_INC_YR4_N
      MD_INC_YR4_N
      HI_INC_YR4_N
      DEP_YR4_N
      IND_YR4_N
      FEMALE_YR4_N
      MALE_YR4_N
      PELL_YR4_N
      NOPELL_YR4_N
      LOAN_YR4_N
      NOLOAN_YR4_N
      FIRSTGEN_YR4_N
      NOT1STGEN_YR4_N
      OVERALL_YR6_N
      LO_INC_YR6_N
      MD_INC_YR6_N
      HI_INC_YR6_N
      DEP_YR6_N
      IND_YR6_N
      FEMALE_YR6_N
      MALE_YR6_N
      PELL_YR6_N
      NOPELL_YR6_N
      LOAN_YR6_N
      NOLOAN_YR6_N
      FIRSTGEN_YR6_N
      NOT1STGEN_YR6_N
      OVERALL_YR8_N
      LO_INC_YR8_N
      MD_INC_YR8_N
      HI_INC_YR8_N
      DEP_YR8_N
      IND_YR8_N
      FEMALE_YR8_N
      MALE_YR8_N
      PELL_YR8_N
      NOPELL_YR8_N
      LOAN_YR8_N
      NOLOAN_YR8_N
      FIRSTGEN_YR8_N
      NOT1STGEN_YR8_N
      DEBT_MDN
      GRAD_DEBT_MDN
      WDRAW_DEBT_MDN
      LO_INC_DEBT_MDN
      MD_INC_DEBT_MDN
      HI_INC_DEBT_MDN
      DEP_DEBT_MDN
      IND_DEBT_MDN
      PELL_DEBT_MDN
      NOPELL_DEBT_MDN
      FEMALE_DEBT_MDN
      MALE_DEBT_MDN
      FIRSTGEN_DEBT_MDN
      NOTFIRSTGEN_DEBT_MDN
      DEBT_N
      GRAD_DEBT_N
      WDRAW_DEBT_N
      LO_INC_DEBT_N
      MD_INC_DEBT_N
      HI_INC_DEBT_N
      DEP_DEBT_N
      IND_DEBT_N
      PELL_DEBT_N
      NOPELL_DEBT_N
      FEMALE_DEBT_N
      MALE_DEBT_N
      FIRSTGEN_DEBT_N
      NOTFIRSTGEN_DEBT_N
      GRAD_DEBT_MDN10YR
      CUML_DEBT_N
      CUML_DEBT_P90
      CUML_DEBT_P75
      CUML_DEBT_P25
      CUML_DEBT_P10
      INC_N
      DEP_INC_N
      IND_INC_N
      DEP_STAT_N
      PAR_ED_N
      APPL_SCH_N
      REPAY_DT_MDN
      SEPAR_DT_MDN
      REPAY_DT_N
      SEPAR_DT_N
      RPY_1YR_N
      COMPL_RPY_1YR_N
      NONCOM_RPY_1YR_N
      LO_INC_RPY_1YR_N
      MD_INC_RPY_1YR_N
      HI_INC_RPY_1YR_N
      DEP_RPY_1YR_N
      IND_RPY_1YR_N
      PELL_RPY_1YR_N
      NOPELL_RPY_1YR_N
      FEMALE_RPY_1YR_N
      MALE_RPY_1YR_N
      FIRSTGEN_RPY_1YR_N
      NOTFIRSTGEN_RPY_1YR_N
      RPY_3YR_N
      COMPL_RPY_3YR_N
      NONCOM_RPY_3YR_N
      LO_INC_RPY_3YR_N
      MD_INC_RPY_3YR_N
      HI_INC_RPY_3YR_N
      DEP_RPY_3YR_N
      IND_RPY_3YR_N
      PELL_RPY_3YR_N
      NOPELL_RPY_3YR_N
      FEMALE_RPY_3YR_N
      MALE_RPY_3YR_N
      FIRSTGEN_RPY_3YR_N
      NOTFIRSTGEN_RPY_3YR_N
      RPY_5YR_N
      COMPL_RPY_5YR_N
      NONCOM_RPY_5YR_N
      LO_INC_RPY_5YR_N
      MD_INC_RPY_5YR_N
      HI_INC_RPY_5YR_N
      DEP_RPY_5YR_N
      IND_RPY_5YR_N
      PELL_RPY_5YR_N
      NOPELL_RPY_5YR_N
      FEMALE_RPY_5YR_N
      MALE_RPY_5YR_N
      FIRSTGEN_RPY_5YR_N
      NOTFIRSTGEN_RPY_5YR_N
      RPY_7YR_N
      COMPL_RPY_7YR_N
      NONCOM_RPY_7YR_N
      LO_INC_RPY_7YR_N
      MD_INC_RPY_7YR_N
      HI_INC_RPY_7YR_N
      DEP_RPY_7YR_N
      IND_RPY_7YR_N
      PELL_RPY_7YR_N
      NOPELL_RPY_7YR_N
      FEMALE_RPY_7YR_N
      MALE_RPY_7YR_N
      FIRSTGEN_RPY_7YR_N
      NOTFIRSTGEN_RPY_7YR_N
      count_ed
      loan_ever
      pell_ever
      age_entry
      age_entry_sq
      agege24
      female
      married
      dependent
      veteran
      first_gen
      faminc
      md_faminc
      faminc_ind
      lnfaminc
      lnfaminc_ind
      pct_white
      pct_black
      pct_asian
      pct_hispanic
      pct_ba
      pct_grad_prof
      pct_born_us
      median_hh_inc
      poverty_rate
      unemp_rate
      ln_median_hh_inc
      fsend_count
      fsend_1
      fsend_2
      fsend_3
      fsend_4
      fsend_5
      count_nwne_p10
      count_wne_p10
      mn_earn_wne_p10
      md_earn_wne_p10
      pct10_earn_wne_p10
      pct25_earn_wne_p10
      pct75_earn_wne_p10
      pct90_earn_wne_p10
      sd_earn_wne_p10
      count_wne_inc1_p10
      count_wne_inc2_p10
      count_wne_inc3_p10
      count_wne_indep0_inc1_p10
      count_wne_indep0_p10
      count_wne_indep1_p10
      count_wne_male0_p10
      count_wne_male1_p10
      gt_25k_p10
      mn_earn_wne_inc1_p10
      mn_earn_wne_inc2_p10
      mn_earn_wne_inc3_p10
      mn_earn_wne_indep0_inc1_p10
      mn_earn_wne_indep0_p10
      mn_earn_wne_indep1_p10
      mn_earn_wne_male0_p10
      mn_earn_wne_male1_p10
      count_nwne_p6
      count_wne_p6
      mn_earn_wne_p6
      md_earn_wne_p6
      pct10_earn_wne_p6
      pct25_earn_wne_p6
      pct75_earn_wne_p6
      pct90_earn_wne_p6
      sd_earn_wne_p6
      count_wne_inc1_p6
      count_wne_inc2_p6
      count_wne_inc3_p6
      count_wne_indep0_inc1_p6
      count_wne_indep0_p6
      count_wne_indep1_p6
      count_wne_male0_p6
      count_wne_male1_p6
      gt_25k_p6
      mn_earn_wne_inc1_p6
      mn_earn_wne_inc2_p6
      mn_earn_wne_inc3_p6
      mn_earn_wne_indep0_inc1_p6
      mn_earn_wne_indep0_p6
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      0
      PrivacySuppressed
      0
      PrivacySuppressed
      0.4625
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0.203125
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.210526315789
      PrivacySuppressed
      0
      0.443609022556
      PrivacySuppressed
      PrivacySuppressed
      0.157894736842
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.171052631579
      PrivacySuppressed
      0
      0.434210526316
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      0.222222222222
      PrivacySuppressed
      0
      0.402777777778
      PrivacySuppressed
      PrivacySuppressed
      0.152777777778
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.189473684211
      PrivacySuppressed
      0
      0.442105263158
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.263157894737
      PrivacySuppressed
      0
      0.447368421053
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.237288135593
      PrivacySuppressed
      0
      0.457627118644
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      0
      0.363636363636
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.366972477064
      PrivacySuppressed
      0
      0.366972477064
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.358490566038
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      0.5
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      0.388059701493
      PrivacySuppressed
      0
      0.298507462687
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0.246376811594
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0.575
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.4375
      PrivacySuppressed
      0
      0.270833333333
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0.459459459459
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0.324324324324
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      0
      0
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      0
      0
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0
      0
      0
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      PrivacySuppressed
      0.948220065
      PrivacySuppressed
      PrivacySuppressed
      0.454901961
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      0.043137255
      0.411764706
      0.545098039
      0.294871795
      0.125
      0.070512821
      PrivacySuppressed
      69110.74519
      46084.73263
      163
      78
      72
      13
      PrivacySuppressed
      PrivacySuppressed
      71
      92
      119
      44
      149
      14
      80
      64
      133
      76
      44
      PrivacySuppressed
      PrivacySuppressed
      122
      51
      72
      95
      38
      PrivacySuppressed
      PrivacySuppressed
      59
      44
      109
      53
      36
      PrivacySuppressed
      PrivacySuppressed
      95
      28
      67
      69
      40
      PrivacySuppressed
      PrivacySuppressed
      48
      37
      37
      20
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      19
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      17
      PrivacySuppressed
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      10158
      PrivacySuppressed
      10174
      9052
      10500
      PrivacySuppressed
      PrivacySuppressed
      10345.5
      10500
      PrivacySuppressed
      10500
      9604.5
      10500
      8878
      272
      10
      263
      145
      107
      PrivacySuppressed
      PrivacySuppressed
      254
      189
      PrivacySuppressed
      114
      148
      127
      102
      PrivacySuppressed
      272
      24644
      16092.5
      5730.5
      2998
      PrivacySuppressed
      16
      293
      PrivacySuppressed
      255
      312
      16962
      16548
      235
      289
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      312
      0.93000000715255
      0.74000000953674
      32.9599990844726
      1154.31994628906
      0.87000000476837
      0.51999998092651
      0.68999999761581
      0.05000000074505
      0.25999999046325
      0.44999998807907
      47269.17
      35283
      46077.05859375
      10.4700002670288
      10.4499998092651
      72.9800033569336
      19.3799991607666
      2.05999994277954
      7.03000020980835
      14.9300003051757
      7.90000009536743
      93.1299972534179
      56889.14
      10.0200004577636
      3.53999996185302
      10.8999996185302
      1.54
      0.70
      0.18
      0.06
      0.04
      0.03
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      5
      23
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      PrivacySuppressed
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      10158
      PrivacySuppressed
      PrivacySuppressed
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      training



In [8]:

    
cols_target = ['md_earn_wne_p6']

cols_school = ['PREDDEG', 'HIGHDEG', 'CONTROL', 'NUMBRANCH', 'AVGFACSAL']
#                'PCIP01', 'PCIP03', 'PCIP04', 'PCIP05', 'PCIP09', 'PCIP10',
#                'PCIP11', 'PCIP12', 'PCIP13', 'PCIP14', 'PCIP15', 'PCIP16',
#                'PCIP19', 'PCIP22', 'PCIP23', 'PCIP24', 'PCIP25', 'PCIP26',
#                'PCIP27', 'PCIP29', 'PCIP30', 'PCIP31', 'PCIP38', 'PCIP39',
#                'PCIP40', 'PCIP41', 'PCIP42', 'PCIP43', 'PCIP44', 'PCIP45',
#                'PCIP46', 'PCIP47', 'PCIP48', 'PCIP49', 'PCIP50', 'PCIP51',
#                'PCIP52', 'PCIP54']

# cols_admissions = ['ADM_RATE', 'SATVR25', 'SATVR75', 'SATMT25', 'SATMT75', 'SAT_AVG']

cols_costs = ['TUITFTE']

cols_studentbody = ['UGDS', 'UGDS_NRA', 'PPTUG_EF', 'UG25abv',
                    'PAR_ED_PCT_1STGEN', 'DEP_INC_AVG', 'IND_INC_AVG',
                    'COMP_ORIG_YR2_RT', 'WDRAW_ORIG_YR2_RT', 'ENRL_ORIG_YR2_RT',
                    'COMP_ORIG_YR4_RT', 'WDRAW_ORIG_YR4_RT', 'ENRL_ORIG_YR4_RT',
                    'OVERALL_YR2_N', 'OVERALL_YR3_N', 'OVERALL_YR4_N',
                    'OVERALL_YR6_N', 'OVERALL_YR8_N', 'count_nwne_p6']

cols_financialaid = ['DEBT_MDN', 'GRAD_DEBT_MDN', 'WDRAW_DEBT_MDN']

cols_other = ['type']



In [9]:

    
data.shape









    Out[9]:





(27974, 1730)



In [10]:

    
data_reduced = data[cols_target+cols_school+cols_costs+\
                    cols_studentbody+cols_financialaid+cols_other]



In [11]:

    
for c in data_reduced.columns:
    if (data_reduced[c].dtype == object) and (c != 'type'):
        data_reduced[c] = data_reduced[c].apply(lambda x: float(x) if x != 'PrivacySuppressed' else np.nan)
        data_reduced[c] = data_reduced[c].astype(float)



In [12]:

    
data_reduced.describe()









    Out[12]:






  
    
      
      md_earn_wne_p6
      PREDDEG
      HIGHDEG
      CONTROL
      NUMBRANCH
      AVGFACSAL
      TUITFTE
      UGDS
      UGDS_NRA
      PPTUG_EF
      UG25abv
      PAR_ED_PCT_1STGEN
      DEP_INC_AVG
      IND_INC_AVG
      COMP_ORIG_YR2_RT
      WDRAW_ORIG_YR2_RT
      ENRL_ORIG_YR2_RT
      COMP_ORIG_YR4_RT
      WDRAW_ORIG_YR4_RT
      ENRL_ORIG_YR4_RT
      OVERALL_YR2_N
      OVERALL_YR3_N
      OVERALL_YR4_N
      OVERALL_YR6_N
      OVERALL_YR8_N
      count_nwne_p6
      DEBT_MDN
      GRAD_DEBT_MDN
      WDRAW_DEBT_MDN
    
  
  
    
      count
      22394.000000
      27974.000000
      27974.000000
      27974.000000
      27974.000000
      17094.000000
      26958.000000
      26084.000000
      26084.000000
      25961.000000
      25830.000000
      24461.000000
      25166.000000
      25303.000000
      22303.000000
      22473.000000
      20116.000000
      22184.000000
      21849.000000
      19316.000000
      26230.000000
      25815.000000
      25535.000000
      24948.000000
      18614.000000
      24423.000000
      22847.000000
      21627.000000
      21315.000000
    
    
      mean
      29062.007681
      1.857582
      2.213877
      2.118932
      4.037070
      5348.674798
      11011.289970
      2222.314944
      0.014165
      0.223849
      0.413015
      0.493549
      52556.296987
      22942.376603
      0.278013
      0.205554
      0.238424
      0.374718
      0.205404
      0.040188
      2614.042242
      2266.867209
      1965.423497
      1385.139370
      1334.820297
      249.651435
      8994.602180
      12483.039742
      6405.177668
    
    
      std
      10822.399280
      1.008607
      1.274660
      0.841436
      12.977136
      1935.658093
      172001.637782
      4855.392337
      0.043849
      0.240339
      0.220127
      0.135478
      24402.757134
      9926.116828
      0.254066
      0.135533
      0.195519
      0.243561
      0.144668
      0.050813
      14366.819640
      13225.712340
      10592.497586
      5225.296605
      5179.278829
      891.605076
      4821.270423
      7030.661573
      3447.324241
    
    
      min
      7000.000000
      0.000000
      0.000000
      1.000000
      1.000000
      42.000000
      0.000000
      0.000000
      0.000000
      0.000000
      0.000400
      0.000000
      443.174960
      215.042694
      0.000000
      0.000000
      0.000000
      0.000000
      0.000000
      0.000000
      10.000000
      10.000000
      10.000000
      10.000000
      10.000000
      0.000000
      124.000000
      654.000000
      520.000000
    
    
      25%
      22000.000000
      1.000000
      1.000000
      1.000000
      1.000000
      4088.250000
      2537.750000
      127.000000
      0.000000
      0.000000
      0.253025
      0.413534
      33732.107442
      16257.267275
      0.062918
      0.106195
      0.060261
      0.155203
      0.101010
      0.000000
      119.000000
      116.000000
      114.000000
      107.000000
      111.000000
      23.000000
      5400.000000
      6625.000000
      3750.000000
    
    
      50%
      27500.000000
      2.000000
      2.000000
      2.000000
      1.000000
      5160.000000
      5909.000000
      522.000000
      0.000000
      0.145700
      0.411000
      0.510294
      49126.867425
      21397.270020
      0.160684
      0.198300
      0.204279
      0.378328
      0.195652
      0.025147
      450.000000
      420.000000
      407.000000
      373.000000
      369.000000
      66.000000
      7905.000000
      11119.000000
      5500.000000
    
    
      75%
      34400.000000
      3.000000
      4.000000
      3.000000
      2.000000
      6376.000000
      10877.750000
      2067.000000
      0.011200
      0.386400
      0.563400
      0.581560
      68785.735878
      27541.043335
      0.514689
      0.293532
      0.391884
      0.571936
      0.295954
      0.066380
      1350.000000
      1230.000000
      1139.500000
      994.000000
      968.000000
      186.000000
      12000.000000
      17125.000000
      8250.000000
    
    
      max
      133600.000000
      4.000000
      4.000000
      3.000000
      128.000000
      24699.000000
      26670163.000000
      249604.000000
      1.000000
      1.000000
      1.000000
      1.000000
      181008.007100
      79375.209910
      1.000000
      0.781513
      1.000000
      1.000000
      0.842161
      0.694737
      237888.000000
      222715.000000
      170316.000000
      72057.000000
      70824.000000
      12567.000000
      95984.000000
      47186.500000
      33125.000000



In [13]:

    
data_reduced.dropna(inplace=True)



In [14]:

    
data_reduced.shape









    Out[14]:





(6717, 30)



In [15]:

    
6809 / 27974









    Out[15]:





0.24340458997640665



In [16]:

    
data_reduced.type.value_counts()









    Out[16]:





training    4173
testing     2544
dtype: int64



In [17]:

    
training = data_reduced[data_reduced['type'] == 'training']
testing = data_reduced[data_reduced['type'] == 'testing']



In [18]:

    
training.md_earn_wne_p6.values









    Out[18]:





array([ 25700.,  35100.,  40600., ...,  36500.,  36500.,  36500.])



In [19]:

    
X_train = normalize(training.iloc[:, 1:-1].values)
y_train = training.md_earn_wne_p6.values



In [20]:

    
X_test = normalize(testing.iloc[:, 1:-1].values)
y_test = testing.md_earn_wne_p6.values



In [21]:

    
names = data_reduced.columns[1:-1]



In [22]:

    
len(names)









    Out[22]:





28

Random Forest



In [23]:

    
rf = RandomForestRegressor(random_state=1868)
rf.fit(X_train, y_train)









    Out[23]:





RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
           max_features='auto', max_leaf_nodes=None, min_samples_leaf=1,
           min_samples_split=2, min_weight_fraction_leaf=0.0,
           n_estimators=10, n_jobs=1, oob_score=False, random_state=1868,
           verbose=0, warm_start=False)



In [24]:

    
print("Features sorted by their score:")
print(sorted(zip(map(lambda x: round(x, 2), rf.feature_importances_), names), reverse=True))









    



Features sorted by their score:
[(0.20999999999999999, 'count_nwne_p6'), (0.19, 'NUMBRANCH'), (0.10000000000000001, 'CONTROL'), (0.089999999999999997, 'PAR_ED_PCT_1STGEN'), (0.059999999999999998, 'PREDDEG'), (0.040000000000000001, 'GRAD_DEBT_MDN'), (0.040000000000000001, 'AVGFACSAL'), (0.029999999999999999, 'WDRAW_ORIG_YR4_RT'), (0.02, 'WDRAW_ORIG_YR2_RT'), (0.02, 'TUITFTE'), (0.02, 'IND_INC_AVG'), (0.02, 'DEP_INC_AVG'), (0.02, 'DEBT_MDN'), (0.02, 'COMP_ORIG_YR4_RT'), (0.01, 'WDRAW_DEBT_MDN'), (0.01, 'UGDS'), (0.01, 'UG25abv'), (0.01, 'PPTUG_EF'), (0.01, 'OVERALL_YR8_N'), (0.01, 'OVERALL_YR6_N'), (0.01, 'OVERALL_YR3_N'), (0.01, 'OVERALL_YR2_N'), (0.01, 'HIGHDEG'), (0.01, 'ENRL_ORIG_YR4_RT'), (0.01, 'ENRL_ORIG_YR2_RT'), (0.01, 'COMP_ORIG_YR2_RT'), (0.0, 'UGDS_NRA'), (0.0, 'OVERALL_YR4_N')]



In [25]:

    
yhat = rf.predict(X_test)



In [26]:

    
mean_squared_error(y_test, yhat)**0.5









    Out[26]:





8085.3402528722918



In [27]:

    
plt.figure(figsize=(12, 12))

sns.regplot(x=y_test, y=yhat, color='#348ABD');

plt.title('Predicted versus Actual Earnings')
plt.xlabel('Actual')
plt.ylabel('Predicted')
plt.xlim(0, 100000);
plt.ylim(0, 100000);

plt.gca().get_xaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda x, p: format(int(x), ','))
)
plt.gca().get_yaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda y, p: format(int(y), ','))
)

Multiple Regression



In [28]:

    
features_use = ['count_nwne_p6', 'NUMBRANCH', 'CONTROL', 'PAR_ED_PCT_1STGEN',
                'PREDDEG', 'GRAD_DEBT_MDN', 'AVGFACSAL', 'WDRAW_ORIG_YR4_RT',
                'WDRAW_ORIG_YR2_RT', 'TUITFTE', 'IND_INC_AVG', 'DEP_INC_AVG',
                'DEBT_MDN', 'COMP_ORIG_YR4_RT']



In [29]:

    
data_reduced = data[cols_target+features_use+cols_other]

for c in data_reduced.columns:
    if (data_reduced[c].dtype == object) and (c != 'type'):
        data_reduced[c] = data_reduced[c].apply(lambda x: float(x) if x != 'PrivacySuppressed' else np.nan)
        data_reduced[c] = data_reduced[c].astype(float)

data_reduced.dropna(inplace=True)

training = data_reduced[data_reduced['type'] == 'training']
testing = data_reduced[data_reduced['type'] == 'testing']

X_train = scale(training.iloc[:, 1:-1].values)
y_train = training.md_earn_wne_p6.values

X_test = scale(testing.iloc[:, 1:-1].values)
y_test = testing.md_earn_wne_p6.values

OLS



In [30]:

    
ols = LinearRegression()



In [31]:

    
ols.fit(X_train, y_train)









    Out[31]:





LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)



In [32]:

    
yhat = ols.predict(X_test)



In [33]:

    
mean_squared_error(y_test, yhat)**0.5









    Out[33]:





7162.4807037804103



In [34]:

    
plt.figure(figsize=(12, 12))

sns.regplot(x=y_test, y=yhat, color='#348ABD');

plt.title('Predicted versus Actual Earnings')
plt.xlabel('Actual')
plt.ylabel('Predicted')
plt.xlim(0, 100000);
plt.ylim(0, 100000);

plt.gca().get_xaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda x, p: format(int(x), ','))
)
plt.gca().get_yaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda y, p: format(int(y), ','))
)

Random Forest



In [35]:

    
rf = RandomForestRegressor(random_state=1868)
rf.fit(X_train, y_train)

yhat = rf.predict(X_test)
mean_squared_error(y_test, yhat)**0.5









    Out[35]:





6754.289052133895



In [36]:

    
plt.figure(figsize=(12, 12))

sns.regplot(x=y_test, y=yhat, color='#348ABD');

plt.title('Predicted versus Actual Earnings')
plt.xlabel('Actual')
plt.ylabel('Predicted')
plt.xlim(0, 100000);
plt.ylim(0, 100000);

plt.gca().get_xaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda x, p: format(int(x), ','))
)
plt.gca().get_yaxis().set_major_formatter(
    mpl.ticker.FuncFormatter(lambda y, p: format(int(y), ','))
)



In [ ]:

	md_earn_wne_p6	PREDDEG	HIGHDEG	CONTROL	NUMBRANCH	AVGFACSAL	TUITFTE	UGDS	UGDS_NRA	PPTUG_EF	UG25abv	PAR_ED_PCT_1STGEN	DEP_INC_AVG	IND_INC_AVG	COMP_ORIG_YR2_RT	WDRAW_ORIG_YR2_RT	ENRL_ORIG_YR2_RT	COMP_ORIG_YR4_RT	WDRAW_ORIG_YR4_RT	ENRL_ORIG_YR4_RT	OVERALL_YR2_N	OVERALL_YR3_N	OVERALL_YR4_N	OVERALL_YR6_N	OVERALL_YR8_N	count_nwne_p6	DEBT_MDN	GRAD_DEBT_MDN	WDRAW_DEBT_MDN
count	22394.000000	27974.000000	27974.000000	27974.000000	27974.000000	17094.000000	26958.000000	26084.000000	26084.000000	25961.000000	25830.000000	24461.000000	25166.000000	25303.000000	22303.000000	22473.000000	20116.000000	22184.000000	21849.000000	19316.000000	26230.000000	25815.000000	25535.000000	24948.000000	18614.000000	24423.000000	22847.000000	21627.000000	21315.000000
mean	29062.007681	1.857582	2.213877	2.118932	4.037070	5348.674798	11011.289970	2222.314944	0.014165	0.223849	0.413015	0.493549	52556.296987	22942.376603	0.278013	0.205554	0.238424	0.374718	0.205404	0.040188	2614.042242	2266.867209	1965.423497	1385.139370	1334.820297	249.651435	8994.602180	12483.039742	6405.177668
std	10822.399280	1.008607	1.274660	0.841436	12.977136	1935.658093	172001.637782	4855.392337	0.043849	0.240339	0.220127	0.135478	24402.757134	9926.116828	0.254066	0.135533	0.195519	0.243561	0.144668	0.050813	14366.819640	13225.712340	10592.497586	5225.296605	5179.278829	891.605076	4821.270423	7030.661573	3447.324241
min	7000.000000	0.000000	0.000000	1.000000	1.000000	42.000000	0.000000	0.000000	0.000000	0.000000	0.000400	0.000000	443.174960	215.042694	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	10.000000	10.000000	10.000000	10.000000	10.000000	0.000000	124.000000	654.000000	520.000000
25%	22000.000000	1.000000	1.000000	1.000000	1.000000	4088.250000	2537.750000	127.000000	0.000000	0.000000	0.253025	0.413534	33732.107442	16257.267275	0.062918	0.106195	0.060261	0.155203	0.101010	0.000000	119.000000	116.000000	114.000000	107.000000	111.000000	23.000000	5400.000000	6625.000000	3750.000000
50%	27500.000000	2.000000	2.000000	2.000000	1.000000	5160.000000	5909.000000	522.000000	0.000000	0.145700	0.411000	0.510294	49126.867425	21397.270020	0.160684	0.198300	0.204279	0.378328	0.195652	0.025147	450.000000	420.000000	407.000000	373.000000	369.000000	66.000000	7905.000000	11119.000000	5500.000000
75%	34400.000000	3.000000	4.000000	3.000000	2.000000	6376.000000	10877.750000	2067.000000	0.011200	0.386400	0.563400	0.581560	68785.735878	27541.043335	0.514689	0.293532	0.391884	0.571936	0.295954	0.066380	1350.000000	1230.000000	1139.500000	994.000000	968.000000	186.000000	12000.000000	17125.000000	8250.000000
max	133600.000000	4.000000	4.000000	3.000000	128.000000	24699.000000	26670163.000000	249604.000000	1.000000	1.000000	1.000000	1.000000	181008.007100	79375.209910	1.000000	0.781513	1.000000	1.000000	0.842161	0.694737	237888.000000	222715.000000	170316.000000	72057.000000	70824.000000	12567.000000	95984.000000	47186.500000	33125.000000