Data Set EMWS3.REPORTER_DATASUM
| Property | Value |
|---|---|
| Input Data Source | MYLIB.PROJECT |
| Target Variable | Response |
| Event Level | 1 |
| Observations | 202 |
| Original Variables | 15 |
| Selected Variables | 11 |
| Property | Value |
|---|---|
| Input Data Source | MYLIB.PROJECT |
| Target Variable | Response |
| Event Level | 1 |
| Observations | 202 |
| Original Variables | 15 |
| Selected Variables | 11 |
| Value | CODE | Count | Data Percentage | 1 | 0 |
|---|---|---|---|---|---|
| 1 | 1 | 95 | 0.47030 | 2.12632 | 0.00000 |
| 0 | 0 | 107 | 0.52970 | 0.00000 | 1.88785 |
| Role | Level | Original Count | Selected Input Count |
|---|---|---|---|
| Input | Binary | 1 | 1 |
| Input | Interval | 2 | 1 |
| Input | Nominal | 9 | 9 |
| Rejected | Binary | 1 | 0 |
| Rejected | Interval | 1 | 0 |
| Target | Binary | 1 | 0 |
| Scorecard Points | Overall N | Overall % | Response | |||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | |||||||
| N | % | N | % | |||||
| 10. How would you rate the conve | EXTREMELY CONVENIENT | 0.00 | 25.00 | 24.75 | 14.00 | 26.42 | 11.00 | 22.92 |
| NOT AT ALL CONVENIENT | 22.00 | 1.00 | 0.99 | 1.00 | 1.89 | 0.00 | 0.00 | |
| NOT SO CONVENIENT | 29.00 | 9.00 | 8.91 | 4.00 | 7.55 | 5.00 | 10.42 | |
| SOMEWHAT CONVENIENT | 5.00 | 26.00 | 25.74 | 17.00 | 32.08 | 9.00 | 18.75 | |
| VERY CONVENIENT | 28.00 | 40.00 | 39.60 | 17.00 | 32.08 | 23.00 | 47.92 | |
| 11. How many minutes does it tak | 1: LOW - 2.5 | 0.00 | 10.00 | 9.90 | 9.00 | 16.98 | 1.00 | 2.08 |
| 2: 2.5 - HIGH | 33.00 | 91.00 | 90.10 | 44.00 | 83.02 | 47.00 | 97.92 | |
| 12. How do you get to campus? | BIKE | 44.00 | 11.00 | 10.89 | 3.00 | 5.66 | 8.00 | 16.67 |
| BUS | 0.00 | 15.00 | 14.85 | 10.00 | 18.87 | 5.00 | 10.42 | |
| DRIVE | 74.00 | 22.00 | 21.78 | 8.00 | 15.09 | 14.00 | 29.17 | |
| SCOOTER | 58.00 | 1.00 | 0.99 | 1.00 | 1.89 | 0.00 | 0.00 | |
| SHUTTLE | 33.00 | 2.00 | 1.98 | 1.00 | 1.89 | 1.00 | 2.08 | |
| SKATEBOARD | 34.00 | 2.00 | 1.98 | 2.00 | 3.77 | 0.00 | 0.00 | |
| WALK | 41.00 | 48.00 | 47.52 | 28.00 | 52.83 | 20.00 | 41.67 | |
| 1. In what type of housing do yo | APARTMENT | 3.00 | 73.00 | 72.28 | 39.00 | 73.58 | 34.00 | 70.83 |
| DORMITORY | 0.00 | 13.00 | 12.87 | 8.00 | 15.09 | 5.00 | 10.42 | |
| HOUSE | 9.00 | 15.00 | 14.85 | 6.00 | 11.32 | 9.00 | 18.75 | |
| 2. How spacious is your room? | BIG | 87.00 | 11.00 | 10.89 | 3.00 | 5.66 | 8.00 | 16.67 |
| GOOD SIZE | 44.00 | 66.00 | 65.35 | 30.00 | 56.60 | 36.00 | 75.00 | |
| SMALL | 0.00 | 24.00 | 23.76 | 20.00 | 37.74 | 4.00 | 8.33 | |
| 3. Which floor do you live at? | 1 | 177.00 | 21.00 | 20.79 | 12.00 | 22.64 | 9.00 | 18.75 |
| 2 | 160.00 | 30.00 | 29.70 | 13.00 | 24.53 | 17.00 | 35.42 | |
| 23 | 138.00 | 1.00 | 0.99 | 1.00 | 1.89 | 0.00 | 0.00 | |
| 3 | 136.00 | 12.00 | 11.88 | 9.00 | 16.98 | 3.00 | 6.25 | |
| 4 | 118.00 | 13.00 | 12.87 | 5.00 | 9.43 | 8.00 | 16.67 | |
| 5 | 173.00 | 9.00 | 8.91 | 5.00 | 9.43 | 4.00 | 8.33 | |
| 6 | 122.00 | 7.00 | 6.93 | 5.00 | 9.43 | 2.00 | 4.17 | |
| 7 | 154.00 | 4.00 | 3.96 | 0.00 | 0.00 | 4.00 | 8.33 | |
| 8 | 220.00 | 2.00 | 1.98 | 2.00 | 3.77 | 0.00 | 0.00 | |
| 9 | 0.00 | 1.00 | 0.99 | 0.00 | 0.00 | 1.00 | 2.08 | |
| 4. How many months is your rent? | 1 | 43.00 | 4.00 | 3.96 | 2.00 | 3.77 | 2.00 | 4.17 |
| 3 | 60.00 | 1.00 | 0.99 | 1.00 | 1.89 | 0.00 | 0.00 | |
| 4 | 140.00 | 3.00 | 2.97 | 3.00 | 5.66 | 0.00 | 0.00 | |
| 5 | 79.00 | 2.00 | 1.98 | 2.00 | 3.77 | 0.00 | 0.00 | |
| 6 | 0.00 | 4.00 | 3.96 | 4.00 | 7.55 | 0.00 | 0.00 | |
| 7 | 81.00 | 1.00 | 0.99 | 1.00 | 1.89 | 0.00 | 0.00 | |
| 9 | 30.00 | 1.00 | 0.99 | 0.00 | 0.00 | 1.00 | 2.08 | |
| 0 | 168.00 | 1.00 | 0.99 | 0.00 | 0.00 | 1.00 | 2.08 | |
| 10 | 51.00 | 5.00 | 4.95 | 3.00 | 5.66 | 2.00 | 4.17 | |
| 11 | 38.00 | 2.00 | 1.98 | 2.00 | 3.77 | 0.00 | 0.00 | |
| 12 | 87.00 | 69.00 | 68.32 | 35.00 | 66.04 | 34.00 | 70.83 | |
| 13 | 18.00 | 1.00 | 0.99 | 0.00 | 0.00 | 1.00 | 2.08 | |
| 18 | 134.00 | 4.00 | 3.96 | 0.00 | 0.00 | 4.00 | 8.33 | |
| 24 | 151.00 | 3.00 | 2.97 | 0.00 | 0.00 | 3.00 | 6.25 | |
| 6. Do you share a room with othe | NO | 0.00 | 41.00 | 40.59 | 18.00 | 33.96 | 23.00 | 47.92 |
| YES | 10.00 | 60.00 | 59.41 | 35.00 | 66.04 | 25.00 | 52.08 | |
| 7. How satisfied are you with th | EXTREMELY SATISFIED | 150.00 | 11.00 | 10.89 | 1.00 | 1.89 | 10.00 | 20.83 |
| NOT AT ALL SATISFIED | 78.00 | 4.00 | 3.96 | 3.00 | 5.66 | 1.00 | 2.08 | |
| NOT SO SATISFIED | 0.00 | 9.00 | 8.91 | 9.00 | 16.98 | 0.00 | 0.00 | |
| SOMEWHAT SATISFIED | 60.00 | 46.00 | 45.54 | 24.00 | 45.28 | 22.00 | 45.83 | |
| VERY SATISFIED | 56.00 | 30.00 | 29.70 | 15.00 | 28.30 | 15.00 | 31.25 | |
| 8. How safe is your neighborhood | EXTREMELY SAFE | 47.00 | 13.00 | 12.87 | 6.00 | 11.32 | 7.00 | 14.58 |
| NOT AT ALL SAFE | 79.00 | 2.00 | 1.98 | 1.00 | 1.89 | 1.00 | 2.08 | |
| NOT SO SAFE | 0.00 | 8.00 | 7.92 | 5.00 | 9.43 | 3.00 | 6.25 | |
| SOMEWHAT SAFE | 11.00 | 38.00 | 37.62 | 23.00 | 43.40 | 15.00 | 31.25 | |
| VERY SAFE | 59.00 | 40.00 | 39.60 | 18.00 | 33.96 | 22.00 | 45.83 | |
| 9. How noisy is your neighborhoo | EXTREMELY NOISY | 139.00 | 1.00 | 0.99 | 0.00 | 0.00 | 1.00 | 2.08 |
| NOT AT ALL NOISY | 0.00 | 6.00 | 5.94 | 4.00 | 7.55 | 2.00 | 4.17 | |
| NOT SO NOISY | 99.00 | 45.00 | 44.55 | 25.00 | 47.17 | 20.00 | 41.67 | |
| SOMEWHAT NOISY | 111.00 | 36.00 | 35.64 | 18.00 | 33.96 | 18.00 | 37.50 | |
| VERY NOISY | 139.00 | 13.00 | 12.87 | 6.00 | 11.32 | 7.00 | 14.58 | |
| Data Role | ||||
|---|---|---|---|---|
| TRAIN | VALIDATE | |||
| Predicted | Predicted | |||
| 0 | 1 | 0 | 1 | |
| Target | 100.00 | . | 64.81 | 35.19 |
| 0 | ||||
| 1 | . | 100.00 | 53.19 | 46.81 |
| Statistic | Train | Validation |
|---|---|---|
| Average Squared Error | 0.0020 | 0.3730 |
| Maximum Absolute Error | 0.2824 | 1.0000 |
| Sum of Frequencies | 101.0000 | 101.0000 |
| Root Average Square Error | 0.0443 | 0.6108 |
| Sum of Square Errors | 0.3962 | 75.3518 |
| Average Error Function | 0.0171 | 4.0075 |
| Misclassification Rate | 0.0000 | 0.4356 |
| Roc Index | 1.0000 | 0.5890 |
| Gini Coefficient | 1.0000 | 0.1780 |
| Kolmogorov-Smirnov Statistic | 1.0000 | 0.2490 |
| Kolmogorov-Smirnov Probability Cutoff | 0.2900 | . |
| Lift at 10% | 2.1042 | 0.8596 |
| Cumulative Lift at 10% | 2.1042 | 0.7814 |
| Captured Response at 10% | 10.4167 | 4.2553 |
| Cumulative % Captured Response at 10% | 22.9167 | 8.5106 |
| Selected Model | Model Node | Model Description | Target Label | Train: Akaike's Information Criterion | Train: Lift | Valid: Lift |
|---|---|---|---|---|---|---|
| Y | Neural | Neural Network | Response | . | 2.10417 | 0.85957 |
| Reg2 | Forwards | Response | 127.780 | 1.91288 | 1.07447 | |
| Reg5 | Stepwise | Response | 123.355 | 1.86369 | 1.11745 | |
| Ensmbl | Ensemble_Champion | Response | . | 2.10417 | 1.28936 |
| Property | Value |
|---|---|
| Name | RPM |
| Diagram | RPM3 - Response |
| Path | /saswork/SAS_workA5EF000130D6_odaws03-prod-us/SAS_work7DAD000130D6_odaws03-prod-us./strangekyle0/RPM |
| Date Created | 28Nov2017:20:02:40 |