Regression on Hospital case cost dataset (test)
0.7551Coefficient of Determination (R2)PPR
Evaluation Results
| Method | Links | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PPR2018.04 | 0.7551 | 0.0771 | 430.2943 | 10.6252 | 0.1709 | 80.3182 | 5.8489 | 0.0823 | 24.2121 | -5.5076 | 0.4081 | 3,887,478.154 | 0.0292 | 0.4948 | 0.2315 | 0.583 | 1,971.6689 | 2.1221 | 0.2449 | 10.1177 | 5.8373 | 13,606,173,540 | |
| Random Forest Regression (RFR)2018.04 | 0.7527 | 0.1007 | 465.3754 | 14.7008 | 0.1848 | 114.5885 | 7.4764 | 0.089 | 6.3473 | -9.7483 | 0.4587 | 3,925,499.976 | 0.0293 | 0.4972 | 0.2503 | 0.7315 | 1,981.2875 | 2.5658 | 0.2473 | 13.1725 | 7.4389 | 13,739,249,915 | |
| Linear Regression (LR)2018.04 | 0.7505 | 0.1347 | 481.748 | 16.9101 | 0.1914 | 149.1442 | 10.9705 | 0.1261 | 38.4218 | -5.8607 | 0.6814 | 3,961,519.52 | 0.0295 | 0.4995 | 0.2591 | 1.0749 | 1,990.3566 | 2.6902 | 0.2495 | 15.8641 | 10.9136 | 13,865,318,318 | |
| NLSR2018.04 | 0.7505 | 0.1347 | 481.748 | 16.9101 | 0.1914 | 149.1443 | 10.9705 | 0.1261 | 38.4219 | -5.8607 | 0.6814 | 3,961,519.431 | 0.0295 | 0.4995 | 0.2591 | 1.0749 | 1,990.3566 | 2.6902 | 0.2495 | 15.8641 | 10.9136 | 13,865,318,009 | |
| Bayesian Linear Regression (BLR)2018.04 | 0.7498 | 0.12 | 473.4953 | 15.9663 | 0.1881 | 129.6546 | 9.0271 | 0.1174 | 16.4036 | -8.8064 | 0.6902 | 3,971,442.311 | 0.0295 | 0.5001 | 0.2547 | 0.9045 | 1,992.8478 | 2.6738 | 0.2502 | 14.4157 | 9.1048 | 13,900,048,089 | |
| Gradient Boosting Machine (GBM)2018.04 | 0.7432 | 0.115 | 472.7597 | 18.8039 | 0.1878 | 135.6288 | 7.4804 | 0.1385 | -45.8404 | -13.9066 | 0.3082 | 4,076,863.627 | 0.0299 | 0.5067 | 0.2543 | 0.7394 | 2,019.1245 | 3.1995 | 0.2568 | 15.9767 | 7.4423 | 14,269,022,695 | |
| RR2018.04 | 0.7189 | 0.0067 | 254.5004 | 3.0518 | 0.1011 | 7.335 | 0.4794 | 0.0065 | 233.4515 | 1.0185 | 0.0518 | 4,463,364.639 | 0.0313 | 0.5301 | 0.1369 | 0.048 | 2,112.6677 | 1.677 | 0.2811 | 3.4404 | 0.4799 | 15,621,776,235 | |
| RRmm2018.04 | 0.7187 | 0.0066 | 254.557 | 3.0503 | 0.1011 | 7.3101 | 0.4761 | 0.0064 | 233.7708 | 1.016 | 0.0518 | 4,465,682.959 | 0.0313 | 0.5303 | 0.1369 | 0.0476 | 2,113.2163 | 1.6774 | 0.2813 | 3.439 | 0.4763 | 15,629,890,357 | |
| Boosted Decision Tree Regression (BDTR)2018.04 | 0.712 | 0.0419 | 484.3054 | 8.7833 | 0.1924 | 33.42 | 2.8282 | 0.0298 | 6.3421 | -3.6018 | 0.4746 | 4,571,819.748 | 0.0317 | 0.5366 | 0.2605 | 0.284 | 2,138.1814 | 2.421 | 0.288 | 8.0423 | 2.8373 | 16,001,369,118 | |
| Support Vector Regression (SVR)2018.04 | 0.6852 | 0.1132 | 421.5048 | 16.6987 | 0.1674 | 156.3304 | 8.2932 | 0.1274 | 133.1441 | -11.1124 | 0.3384 | 4,998,308.675 | 0.0331 | 0.561 | 0.2267 | 0.8058 | 2,235.6898 | 2.7828 | 0.3148 | 14.9463 | 8.2134 | 17,494,080,364 | |
| Decision Forest Regression (DFR)2018.04 | 0.6576 | 0 | 424.2223 | 6.4989 | 0.1685 | 9.1667 | 0.6847 | 0.0091 | -46.7055 | -3.7856 | 0.3027 | 5,436,572.093 | 0.0345 | 0.5851 | 0.2282 | 0.0682 | 2,331.6458 | 2.6372 | 0.3424 | 5.3109 | 0.6832 | 19,028,002,324 | |
| Gradient Boosting Regression (GRR)2018.04 | 0.5155 | 0.0568 | 554.6658 | 9.4456 | 0.2203 | 52.2051 | 3.9094 | 0.0425 | 291.3209 | -2.6764 | 0.3606 | 7,692,362.075 | 0.0411 | 0.696 | 0.2984 | 0.3886 | 2,773.5108 | 2.1222 | 0.4845 | 9.7217 | 3.8986 | 26,923,267,263 | |
| Poisson Regression (PR)2018.04 | 0.1769 | 0.8113 | 1,620.5862 | 100.3032 | 0.6437 | 1,175.0388 | 66.5457 | 0.8564 | 64.7614 | -82.826 | 1.0139 | 13,067,407.76 | 0.0535 | 0.9071 | 0.8717 | 5.0833 | 3,614.887 | 13.399 | 0.8231 | 61.1432 | 61.1301 | 45,735,927,158 | |
| Neural Network Regression (NNR)2018.04 | -0.0704 | 0.6322 | 1,594.8297 | 60.1384 | 0.6335 | 685.4257 | 53.2716 | 0.4501 | 1,057.3001 | -14.8161 | 2.0807 | 16,993,900.55 | 0.061 | 1.0345 | 0.8579 | 4.8086 | 4,122.3659 | 7.2965 | 1.0704 | 57.3569 | 51.6835 | 59,478,651,920 |