6 1

Prediction: Decision tree)

6 2

(Decision tree)

6 3

(target variable)(qualitative)(Classification tree)(quantitative)(Regression tree)

or

6 4

6 5

Divided by the 1st variable

Divided by the 2nd variable

6 6

6 7

6 8

CHAID C5.0 CART QUEST

2 2

*1

*2

*1 *2 10

SASCHAID, CART, C4.5

Answer Tree CHAIDCARTQUESTClementine CARTC5.0

Sheet1

CHAIDC5.0CARTQUEST

2 2

*1

*2

Sheet2

Sheet3

6 9

6 10

6 11

(Regression tree)(target variable) (quantitative)(input variable)

6 12

IC 8800 10 0 15 10 0 0 20

15000 30 0 14 10 1 0 236500 30 0 14 10 0 0 24.5

20000 20 1 15 11 1 1 2422000 20 1 14 11 1 1 3220000 45 1 15 11 0 1 2820000 45 1 15 12 1 1 2422000 50 1 14 11 1 0 34

Sheet1

IC

880010015100020

1500030014101023

650030014100024.5

2000020115111124

2200020114111132

2000045115110128

2000045115121124

2200050114111034

1500020115111021

1400030114111020

2200030114121128

2000045114111028

1250025115111029.8

1400020114101124

2500025115111129

980030115101026

1500040115111128

2200040115101036

180005114101023.8

1500015115111028

150005115120120

Sheet2

Sheet3

6 13

(setting of Regression tree)

: ProbF: Fp (anova)

: 2100:

: : 1

6 14

6 15

(2)

6 16

(2)

6 17

6 18

6 19

id

6 20

pruning()

6 21

hachioji-housing

price bus 0:1:parking 0:1:time ()Bustime ()walktime ()chikunen (heyasu shikimen tatemen

Sheet1

pricebusparkingtimeBustimewalktimechikunenheyasushikimentatemen

12501135305213110.1158.78

1380112420430392.6752.04

13801139381214109.4375.19

14801117152203101.3259.48

17801125214294116.1576.14

18901125223214119.0871.28

19001116151144120.0589.23

1980001901927394.4288.79

19800120020145104.11107.62

1980101713423414180.73

2180002002013566.0399.28

2180112215795171.784.04

2180112215793220.7497.7

220011129327483.1478.08

2380111477255112.291.89

24501118153124157.6982.62

25000110010315154.87110.2

25440119019194110.0470.1

26000070724596.6773.01

26000170724496.6773.01

2680012502595100102.95

278001606145120.0895.01

27801116133105190.74108.97

2880112017324107.8185.72

2880012002086138.99149.13

31000110010175156.4488.72

31500117017275251.3493.77

31800114014275212.5388.59

32500130385125100.74

32801197275215.8896.29

32900115015235167.5104.92

34800150525138.0990.33

34800116016255211.46110.54

35001116151245229.24132.92

39500110010155112.46182.45

41000110010135122.47129.16

418001808245160.0391.92

4480011001099199.33144.91

550001303226218.18134.04

650001606136309.32233.99

85500120020247401.21146.15

Sheet2

price

bus0:1:

parking 0:1:

time ()

Bustime ()

walktime ()

chikunen (

heyasu

shikimen

tatemen

busparking

305351250110.11358.782111

20424138092.67352.043011

381391380109.43475.192111

152171480101.32359.482011

214251780116.15476.142911

223251890119.08471.282111

151161900120.05489.231411

01919198094.42388.792700

020201980104.115107.621401

134171980141480.732310

02020218066.03599.281300

157222180171.7584.04911

157222180220.74397.7911

9312220083.14478.082711

77142380112.2591.892511

153182450157.69482.621211

010102500154.875110.23101

019192544110.04470.11901

077260096.67573.012400

077260096.67473.012401

0252526801005102.95901

0662780120.08595.011401

133162780190.745108.971011

173202880107.81485.72211

020202880138.996149.13801

010103100156.44588.721701

017173150251.34593.772701

014143180212.53588.592701

03332501255100.74801

7293280215.88596.29711

015153290167.55104.922301

0553480138.09590.33201

016163480211.465110.542501

151163500229.245132.922411

010103950112.465182.451501

010104100122.475129.161301

0884180160.03591.922401

010104480199.339144.91901

0335500218.186134.042201

0666500309.326233.991301

020208550401.217146.152401

3051250110.113K58.78210426(65)5151

204138092.672LDK52.04300120-006327

3811380109.434DK75.19210426(25)6981

1521480101.322LDK59.48200426(65)5151

2141780116.153SLDK76.14290426(25)6981

2231890119.084DK71.28210120-556762

1511900120.054DK89.23140426(25)6981

1 019198094.423DK88.79270426(25)6981

0201980104.114LDK107.62140120-553536

13419801414DK80.73230426(65)5151

020218066.035DK99.28130120-556764

1572180171.74LDK84.0490426(32)7771

1572180220.742LDK97.790120-556764

93220083.144DK78.08270120-556515

772380112.25DK91.89250426(25)6981

1532450157.694DK82.62120426(65)5151

0102500154.874LDK110.2310426(25)6981

0192544110.043LDK70.1190426(46)2331

4 07260096.674LDK73.01240426(25)6981

07260096.674DK73.01240120-556762

02526801004LDK102.959042(771)3313

062780120.084LDK95.01140426(20)2772

2 1332780190.744SLDK108.97100120-556764

1732880107.814DK85.7220426(25)6981

0202880138.995LDK149.1380120-556515

1512980169.82135.8135.8140426(25)6981

0103100156.444LDK88.72170426(46)2331

0173150251.344LDK93.77270426(46)2821

0143180212.535SDK88.59270120-237413

0332501254LDK100.7480426(25)6981

3 723280215.884LDK96.2970120-556515

0153290167.55DK104.92230426(46)2821

053480138.094LDK90.3320426(25)6981

0163480211.464LDK110.54250426(65)5151

3 1513500229.244LDK132.92240120-710318

0113660100.0194.1894.1880426(65)5151

0103950112.464SLDK182.45150426(25)6981

0104100122.474LDK129.16130120-710318

1 084180160.034LDK91.9224-0422(54)1161

0104480199.338LDK144.9190120-710318

3 035500218.185SLDK134.04220426(25)6981

2 066500309.325SLDK233.99130426(25)6981

2 0208550401.216LDK146.15240426(25)6981

6 22

Classification tree(target variable) (qualitative)(input variable)

both qualitative and quantitative variable

SQL

6 23

ProbChisq: Pearson 2p: C5.0Gini: GiniCART

6 24

Newschan

(acredit)

6 25

(NewsChanJ)

4 26

531 67

EnterpriseMiner

6 27

SAS 2005 (2004) , , D. Steinberg 2CART 1999 . 2001

2001 2002

Prediction: Decision tree)(Decision tree)(Regression tree)(setting of Regression tree)(2)(2) 18 pruningClassification tree(NewsChanJ)531