User : esposito
Date : 18JAN2005:16:21:37
Notes:
"EM Workspace" :
Input Data Settings:
Input Data Settings:
K = 16
Method = RDTREE
Weighted = 1
Submit_strings : data=EMDATA.DMDBGPTT dmdbcat=EMPROJ.DMDBGPTT k=16 weighted method=RDTREE;
target VAR257;
var VAR1 VAR2 VAR3 VAR4 VAR5 VAR6 VAR7 VAR8 VAR9 VAR10 VAR11 VAR12 VAR13 VAR14 VAR15 VAR16 VAR17 VAR18
VAR19 VAR20 VAR21 VAR22 VAR23 VAR24 VAR25 VAR26 VAR27 VAR28 VAR29 VAR30 VAR31 VAR32 VAR33 VAR34 VAR35
VAR36 VAR37 VAR38 VAR39 VAR40 VAR41 VAR42 VAR43 VAR44 VAR45 VAR46 VAR47 VAR48 VAR49 VAR50 VAR51 VAR52
VAR53 VAR54 VAR55 VAR56 VAR57 VAR58 VAR59 VAR60 VAR61 VAR62 VAR63 VAR64 VAR65 VAR66 VAR67 VAR68 VAR69
VAR70 VAR71 VAR72 VAR73 VAR74 VAR75 VAR76 VAR77 VAR78 VAR79 VAR80 VAR81 VAR82 VAR83 VAR84 VAR85 VAR86
VAR87 VAR88 VAR89 VAR90 VAR91 VAR92 VAR93 VAR94 VAR95 VAR96 VAR97 VAR98 VAR99 VAR100 VAR101 VAR102 VAR103
VAR104 VAR105 VAR106 VAR107 VAR108 VAR109 VAR110 VAR111 VAR112 VAR113 VAR114 VAR115 VAR116 VAR117 VAR118
VAR119 VAR120 VAR121 VAR122 VAR123 VAR124 VAR125 VAR126 VAR127 VAR128 VAR129 VAR130 VAR131 VAR132 VAR133
VAR134 VAR135 VAR136 VAR137 VAR138 VAR139 VAR140 VAR141 VAR142 VAR143 VAR144 VAR145 VAR146 VAR147 VAR148
VAR149 VAR150 VAR151 VAR152 VAR153 VAR154 VAR155 VAR156 VAR157 VAR158 VAR159 VAR160 VAR161 VAR162 VAR163
VAR164 VAR165 VAR166 VAR167 VAR168 VAR169 VAR170 VAR171 VAR172 VAR173 VAR174 VAR175 VAR176 VAR177 VAR178
VAR179 VAR180 VAR181 VAR182 VAR183 VAR184 VAR185 VAR186 VAR187 VAR188 VAR189 VAR190 VAR191 VAR192 VAR193
VAR194 VAR195 VAR196 VAR197 VAR198 VAR199 VAR200 VAR201 VAR202 VAR203 VAR204 VAR205 VAR206 VAR207 VAR208
VAR209 VAR210 VAR211 VAR212 VAR213 VAR214 VAR215 VAR216 VAR217 VAR218 VAR219 VAR220 VAR221 VAR222 VAR223
VAR224 VAR225 VAR226 VAR227 VAR228 VAR229 VAR230 VAR231 VAR232 VAR233 VAR234 VAR235 VAR236 VAR237 VAR238
VAR239 VAR240 VAR241 VAR242 VAR243 VAR244 VAR245 VAR246 VAR247 VAR248 VAR249 VAR250 VAR251 VAR252 VAR253
VAR254 VAR255 VAR256;
Input data : Training = EMDATA.VIEW_5NN
Testing = EMDATA.VIEW_YFS
Output data : Training = EMDATA.STRNJ9MU
Testing = EMDATA.STSTN34H
Process train data = No
Process score data = Yes
Model assessment plot:
Fit Statistic Training Validation Test Average Squared Error 1.94 3.00 3.72 Sum of Squared Errors 2717.74 1800.02 7448.34 Root Average Squared Error 1.39 1.73 1.93 Maximum Absolute Error 6.09 7.93 8.93 Divisor for ASE 1400.00 600.00 2000.00 Total Degrees of Freedom 1400.00 . . Number of Estimated Weights 29.00 . . Sum of Frequencies 1400.00 600.00 2000.00 Sum Case Weights * Frequencies 1400.00 600.00 2000.00
LEAF ROOT V ROOT V
ID N V N ASE ASE AVERAGE AVERAGE
58 121 58 1.34139 2.63980 1.35537 2.36207
59 24 8 2.25924 1.54110 4.75000 4.87500
33 98 48 0.41033 1.25323 0.07143 0.27083
17 15 2 1.23648 2.20706 5.93333 5.00000
18 25 12 1.38564 1.74452 5.40000 4.41667
19 3 1 0.94281 0.33333 1.66667 2.00000
20 146 76 1.57320 1.72187 3.41096 3.18421
38 32 13 0.00000 0.00000 1.00000 1.00000
39 4 0 0.00000 . 2.00000 .
22 130 49 2.13918 2.06314 6.09231 6.20408
23 66 35 1.80735 2.16698 4.22727 4.65714
74 34 11 1.39202 1.57800 5.05882 4.72727
75 56 19 1.61457 1.53203 7.51786 7.73684
76 97 39 1.72001 1.67046 5.10309 4.94872
77 16 3 2.07572 1.19188 1.93750 2.66667
46 62 14 0.39639 1.08276 2.06452 2.35714
47 27 13 1.75291 2.14269 5.03704 4.30769
48 36 19 0.00000 0.97333 1.00000 1.31579
49 3 2 0.00000 6.00000 2.00000 8.00000
27 12 8 0.95379 2.83701 3.08333 4.25000
82 42 16 0.00000 0.00000 4.00000 4.00000
83 1 1 0.00000 1.00000 8.00000 7.00000
51 8 4 0.85696 0.97628 6.62500 5.75000
52 40 14 0.75788 0.87459 5.77500 6.00000
53 6 1 0.74536 1.33333 7.66667 9.00000
54 92 40 1.22103 1.15385 6.85870 6.77500
88 156 67 0.81254 1.20054 8.49359 8.28358
89 3 1 0.47140 0.33333 5.33333 5.00000
31 45 26 1.95050 1.68751 5.20000 5.57692
Target information
Name: VAR257
Label:
Measurement: interval
Tree settings
Model assessment plot:
Fit Statistic Training Validation Test Average Squared Error 1.47 . 3.37 Sum of Squared Errors 2930.04 . 6741.51 Root Average Squared Error 1.21 . 1.84 Maximum Absolute Error 6.37 . 8.81 Divisor for ASE 2000.00 . 2000.00 Total Degrees of Freedom 2000.00 . . Number of Estimated Weights 54.00 . . Sum of Frequencies 2000.00 . 2000.00 Sum Case Weights * Frequencies 2000.00 . 2000.00
LEAF ROOT
ID N ASE AVERAGE
60 50 2.06068 3.44000
61 28 0.89500 0.35714
62 9 2.23331 3.11111
63 20 0.77460 8.00000
64 215 1.73102 1.62791
65 133 0.67334 0.18797
66 21 0.92091 5.09524
67 2 0.00000 0.00000
68 20 0.77460 4.00000
69 5 0.63246 2.00000
37 2 1.00000 7.00000
70 18 0.31427 5.88889
71 2 0.50000 8.50000
72 21 0.39268 4.80952
73 1 0.00000 2.00000
74 49 1.44452 4.48980
75 4 0.43301 1.25000
76 115 0.81711 3.04348
77 23 0.49573 1.56522
21 3 0.47140 8.33333
78 62 1.82885 5.24194
79 17 1.33362 7.52941
80 46 1.16035 7.84783
81 4 1.29904 3.75000
82 24 0.81543 2.79167
83 1 0.00000 8.00000
84 52 1.46154 4.69231
85 19 1.33771 7.00000
86 75 1.29656 4.16000
87 8 0.66144 6.75000
88 39 0.22057 2.05128
89 4 0.00000 6.00000
90 64 1.12500 5.87500
91 21 0.48562 7.95238
92 18 0.52411 5.94444
93 23 1.95604 3.00000
94 59 0.38724 1.05085
95 14 0.00000 2.00000
96 10 0.64031 4.30000
97 12 0.59512 2.25000
27 12 2.30940 5.00000
98 69 0.23902 4.02899
99 1 0.00000 8.00000
53 18 0.82589 6.61111
100 150 1.10079 6.96000
101 253 1.06823 8.31621
102 55 1.71488 6.49091
103 21 2.24669 4.00000
56 10 1.24900 4.80000
104 24 0.39965 2.08333
105 3 0.00000 0.00000
58 6 1.21335 2.83333
106 59 1.05385 5.64407
107 6 0.47140 8.33333
Target information
Name: VAR257
Label:
Measurement: interval
Tree settings
Fit Statistic Training Validation Test Akaike's Information Criterion 2672.1554025 . . Average Squared Error 2.9419649289 . 3.8022805964 Average Error Function 2.9419649289 . 3.8022805964 Degrees of Freedom for Error 1743 . . Model Degrees of Freedom 257 . . Total Degrees of Freedom 2000 . . Divisor for ASE 2000 . 2000 Error Function 5883.9298577 . 7604.5611928 Final Prediction Error 3.8095323261 . . Maximum Absolute Error 6.0212193739 . 6.6692721366 Mean Square Error 3.3757486275 . 3.8022805964 Sum of Frequencies 2000 . 2000 Number of Estimate Weights 257 . . Root Average Sum of Squares 1.7152157091 . 1.9499437419 Root Final Prediction Error 1.9518023276 . . Root Mean Squared Error 1.8373210464 . 1.9499437419 Schwarz's Bayesian Criterion 4111.5873346 . . Sum of Squared Errors 5883.9298577 . 7604.5611928 Sum of Case Weights Times Freq 2000 . 2000
Fit Statistic Training Validation Test [ TARGET=VAR257 ] . . . Average Error 8.25 . 8.25 Average Squared Error 8.25 . 8.25 Sum of Squared Errors 16500.00 . 16500.00 Root Average Squared Error 2.87 . 2.87 Root Final Prediction Error 6.17 . . Root Mean Squared Error 4.81 . 2.87 Error Function 16500.00 . 16500.00 Mean Squared Error 23.14 . 8.25 Maximum Absolute Error 4.50 . 4.50 Final Prediction Error 38.03 . . Divisor for ASE 2000.00 . 2000.00 Model Degrees of Freedom 1287.00 . . Degrees of Freedom for Error 713.00 . . Total Degrees of Freedom 2000.00 . . Sum of Frequencies 2000.00 . 2000.00 Sum Case Weights * Frequencies 2000.00 . 2000.00 Akaike's Information Criterion 6794.43 . . Schwarz's Baysian Criterion 14002.79 . .
Optimization plot:
Fit Statistic Training Validation Test [ TARGET=VAR257 ] . . . Average Error 2.95 . 3.79 Average Squared Error 2.95 . 3.79 Sum of Squared Errors 5892.81 . 7580.65 Root Average Squared Error 1.72 . 1.95 Root Final Prediction Error 1.95 . . Root Mean Squared Error 1.84 . 1.95 Error Function 5892.81 . 7580.65 Mean Squared Error 3.38 . 3.79 Maximum Absolute Error 6.08 . 6.59 Final Prediction Error 3.82 . . Divisor for ASE 2000.00 . 2000.00 Model Degrees of Freedom 257.00 . . Degrees of Freedom for Error 1743.00 . . Total Degrees of Freedom 2000.00 . . Sum of Frequencies 2000.00 . 2000.00 Sum Case Weights * Frequencies 2000.00 . 2000.00 Akaike's Information Criterion 2675.17 . . Schwarz's Baysian Criterion 4114.60 . .
Optimization plot:
Fit Statistic Training Validation Test [ TARGET=VAR257 ] . . . Average Error 2.37 . 4.49 Average Squared Error 2.37 . 4.49 Sum of Squared Errors 4737.67 . 8989.83 Root Average Squared Error 1.54 . 2.12 Root Final Prediction Error 1.75 . . Root Mean Squared Error 1.65 . 2.12 Error Function 4737.67 . 8989.83 Mean Squared Error 2.72 . 4.49 Maximum Absolute Error 7.08 . 7.40 Final Prediction Error 3.07 . . Divisor for ASE 2000.00 . 2000.00 Model Degrees of Freedom 259.00 . . Degrees of Freedom for Error 1741.00 . . Total Degrees of Freedom 2000.00 . . Sum of Frequencies 2000.00 . 2000.00 Sum Case Weights * Frequencies 2000.00 . 2000.00 Akaike's Information Criterion 2242.80 . . Schwarz's Baysian Criterion 3693.43 . .
End Report
