Results: Rapid Predictive Modeler

Model Summary

Data

The PRINT Procedure

Data Set EMWS1.REPORTER_DATASUM

Property Value
Input Data Source MYLIB.VIDEOGAMEDATAPRIMARYV2
Target Variable score_phrase
Event Level GOOD
Observations 4571
Original Variables 30
Selected Variables 17

Model Summary

Target: score_phrase

The PRINT Procedure

Data Set EMWS1.REPORTER_TARGETSUM

Value Count Data Percentage
GOOD 1574 0.68914
BAD 710 0.31086

Model Summary

Variable Summary

The PRINT Procedure

Data Set EMWS1.REPORTER_VARSUM

Role Level Original Count Selected Input Count
Input Interval 17 14
Input Nominal 4 3
Rejected Binary 1 0
Rejected Interval 2 0
Rejected Nominal 5 0
Target Binary 1 0

The SGRENDER Procedure

The SGRender Procedure

The SGRender Procedure

The SGRENDER Procedure

The SGRender Procedure

The SGRender Procedure

The SGRENDER Procedure

The SGRender Procedure

The SGRender Procedure

The SGRENDER Procedure

The SGRender Procedure

The SGRender Procedure

Variable Attribute Importance and Crosstabulations

The TABULATE Procedure

Cross-tabular summary report

Table 1

  Scorecard Points Overall N Overall % score_phrase
Bad Good
N % N %
Critic_Count 1: LOW - 8.5 0.00 182.00 7.97 108.00 15.21 74.00 4.70
2: 8.5 - 16.5 34.00 377.00 16.51 164.00 23.10 213.00 13.53
3: 16.5 - 24.5 57.00 440.00 19.26 145.00 20.42 295.00 18.74
4: 24.5 - 45.5 100.00 771.00 33.76 215.00 30.28 556.00 35.32
5: 45.5 - HIGH 129.00 514.00 22.50 78.00 10.99 436.00 27.70
EUSalesCriticScore 1: LOW - 67.568 0.00 248.00 10.86 126.00 17.75 122.00 7.75
2: 67.568 - 6260.593 17.00 1314.00 57.53 422.00 59.44 892.00 56.67
3: 6260.593 - HIGH 54.00 722.00 31.61 162.00 22.82 560.00 35.58
Genre ACTION 0.00 540.00 23.64 217.00 30.56 323.00 20.52
ADVENTURE 102.00 65.00 2.85 26.00 3.66 39.00 2.48
FIGHTING 72.00 103.00 4.51 26.00 3.66 77.00 4.89
MISC 43.00 118.00 5.17 47.00 6.62 71.00 4.51
PLATFORM 41.00 129.00 5.65 36.00 5.07 93.00 5.91
PUZZLE 113.00 41.00 1.80 12.00 1.69 29.00 1.84
RACING 35.00 171.00 7.49 63.00 8.87 108.00 6.86
ROLE-PLAYING 46.00 251.00 10.99 61.00 8.59 190.00 12.07
SHOOTER 22.00 305.00 13.35 97.00 13.66 208.00 13.21
SIMULATION 57.00 97.00 4.25 26.00 3.66 71.00 4.51
SPORTS 89.00 355.00 15.54 75.00 10.56 280.00 17.79
STRATEGY 32.00 109.00 4.77 24.00 3.38 85.00 5.40
GlobalSalesCriticScore 1: LOW - 727.513 8.00 48.00 2.10 9.00 1.27 39.00 2.48
2: 727.513 - 10090.909 0.00 905.00 39.62 362.00 50.99 543.00 34.50
3: 10090.909 - 42554.348 13.00 891.00 39.01 258.00 36.34 633.00 40.22
4: 42554.348 - HIGH 23.00 440.00 19.26 81.00 11.41 359.00 22.81
GlobalSalesUserScore 1: LOW - 5553.443 9.00 773.00 33.84 197.00 27.75 576.00 36.59
2: 5553.443 - HIGH 0.00 1511.00 66.16 513.00 72.25 998.00 63.41
Global_Sales 1: LOW - 0.385 0.00 1226.00 53.68 519.00 73.10 707.00 44.92
2: 0.385 - 1.385 21.00 703.00 30.78 159.00 22.39 544.00 34.56
3: 1.385 - HIGH 46.00 355.00 15.54 32.00 4.51 323.00 20.52
JPSalesCriticScore 1: LOW - 60.976 17.00 1612.00 70.58 571.00 80.42 1041.00 66.14
2: 60.976 - HIGH 0.00 672.00 29.42 139.00 19.58 533.00 33.86
JP_Sales 1: LOW - 0.005 9.00 1612.00 70.58 571.00 80.42 1041.00 66.14
2: 0.005 - 0.085 0.00 360.00 15.76 96.00 13.52 264.00 16.77
3: 0.085 - HIGH 9.00 312.00 13.66 43.00 6.06 269.00 17.09
NASalesCriticScore 1: LOW - 7302.495 0.00 1192.00 52.19 428.00 60.28 764.00 48.54
2: 7302.495 - HIGH 6.00 1092.00 47.81 282.00 39.72 810.00 51.46
NASalesUserScore 1: LOW - 3445.409 14.00 875.00 38.31 218.00 30.70 657.00 41.74
2: 3445.409 - HIGH 0.00 1409.00 61.69 492.00 69.30 917.00 58.26
NA_Sales 1: LOW - 0.225 0.00 1312.00 57.44 532.00 74.93 780.00 49.56
2: 0.225 - 0.555 23.00 501.00 21.94 128.00 18.03 373.00 23.70
3: 0.555 - HIGH 59.00 471.00 20.62 50.00 7.04 421.00 26.75
Other_Sales 1: LOW - 0.045 0.00 1405.00 61.51 541.00 76.20 864.00 54.89
2: 0.045 - HIGH 12.00 879.00 38.49 169.00 23.80 710.00 45.11
Platform 3DS 60.00 30.00 1.31 9.00 1.27 21.00 1.33
DS 90.00 202.00 8.84 65.00 9.15 137.00 8.70
GBA 29.00 90.00 3.94 28.00 3.94 62.00 3.94
PC 91.00 266.00 11.65 48.00 6.76 218.00 13.85
PS 55.00 56.00 2.45 11.00 1.55 45.00 2.86
PS2 13.00 460.00 20.14 149.00 20.99 311.00 19.76
PS3 27.00 286.00 12.52 92.00 12.96 194.00 12.33
PS4 102.00 56.00 2.45 19.00 2.68 37.00 2.35
WII 27.00 176.00 7.71 83.00 11.69 93.00 5.91
WIIU 93.00 23.00 1.01 4.00 0.56 19.00 1.21
X360 0.00 353.00 15.46 130.00 18.31 223.00 14.17
XB 53.00 249.00 10.90 66.00 9.30 183.00 11.63
XONE 101.00 37.00 1.62 6.00 0.85 31.00 1.97
Release_Month 1 0.00 78.00 3.42 33.00 4.65 45.00 2.86
10 21.00 367.00 16.07 114.00 16.06 253.00 16.07
11 42.00 382.00 16.73 116.00 16.34 266.00 16.90
12 22.00 124.00 5.43 50.00 7.04 74.00 4.70
2 50.00 179.00 7.84 52.00 7.32 127.00 8.07
3 38.00 206.00 9.02 66.00 9.30 140.00 8.89
4 55.00 113.00 4.95 38.00 5.35 75.00 4.76
5 22.00 142.00 6.22 47.00 6.62 95.00 6.04
6 26.00 165.00 7.22 65.00 9.15 100.00 6.35
7 25.00 103.00 4.51 36.00 5.07 67.00 4.26
8 38.00 147.00 6.44 39.00 5.49 108.00 6.86
9 92.00 278.00 12.17 54.00 7.61 224.00 14.23
Release_Year 1: LOW - 2006.5 33.00 967.00 42.34 270.00 38.03 697.00 44.28
2: 2006.5 - 2011.5 3.00 987.00 43.21 365.00 51.41 622.00 39.52
3: 2011.5 - HIGH 0.00 330.00 14.45 75.00 10.56 255.00 16.20
User_Count 1: LOW - 20.5 0.00 884.00 38.70 412.00 58.03 472.00 29.99
2: 20.5 - 121.5 25.00 851.00 37.26 227.00 31.97 624.00 39.64
3: 121.5 - HIGH 60.00 549.00 24.04 71.00 10.00 478.00 30.37
User_Score 1: LOW - 5.35 0.00 235.00 10.29 166.00 23.38 69.00 4.38
2: 5.35 - 6.35 44.00 265.00 11.60 145.00 20.42 120.00 7.62
3: 6.35 - 7.15 90.00 353.00 15.46 147.00 20.70 206.00 13.09
4: 7.15 - 8.35 169.00 944.00 41.33 201.00 28.31 743.00 47.20
5: 8.35 - HIGH 222.00 487.00 21.32 51.00 7.18 436.00 27.70

Classification Matrix Target=score_phrase

The TABULATE Procedure

Cross-tabular summary report

Table 1

  Data Role
TRAIN VALIDATE
Predicted Predicted
BAD GOOD BAD GOOD
Target 56.76 43.24 57.30 42.70
BAD
GOOD 9.47 90.53 10.16 89.84

Model Fit Statistics

The PRINT Procedure

Data Set EMWS1.REPORTER_REPORTFIT

Statistic Train Validation
Akaike's Information Criterion 2362.1547 .
Schwarz's Bayesian Criterion 3485.9567 .
Average Squared Error 0.1399 0.1397
Maximum Absolute Error 0.9705 0.9872
Sum of Frequencies 2284.0000 2287.0000
Root Average Square Error 0.3740 0.3737
Sum of Square Errors 639.0056 638.8962
Mean Squared Error 0.1530 0.1397
Root Mean Squared Error 0.3912 0.3737
Average Error Function 0.4313 0.4300
Misclassification Rate 0.1996 0.2029
Roc Index 0.8510 0.8550
Gini Coefficient 0.7020 0.7110
Kolmogorov-Smirnov Statistic 0.5400 0.5570
Kolmogorov-Smirnov Probability Cutoff 0.7000 .
Lift at 10% 1.4384 1.4393
Cumulative Lift at 10% 1.4447 1.4394
Captured Response at 10% 7.1792 7.1746
Cumulative % Captured Response at 10% 14.4854 14.4127

Model Selection based on Model Node

The PRINT Procedure

Data Set EMWS1.REPORTER_COMPAREMDL

Selected Model Model Node Model Description Target Label Train: Akaike's Information Criterion Train: Lift Valid: Lift
Y Neural Neural Network score_phrase 2362.15 1.43835 1.43933
  Ensmbl Ensemble_Champion score_phrase . 1.45108 1.45206
  Reg5 Stepwise score_phrase 2106.74 1.43835 1.42659
  Reg2 Forwards score_phrase 2112.94 1.42562 1.40111

Project Information

The PRINT Procedure

Data Set EMWS1.REPORTER_PROJINFO

Property Value
Name RPM
Diagram RPM1 - score_phrase
Path /saswork/SAS_workA7DD000033A5_odaws04-prod-us/SAS_work4AED000033A5_odaws04-prod-us./iwickram0/RPM
Date Created 25Mar2017:20:40:53