Table 8.
Listwise
|
Log
|
CART
|
RF
|
MI
|
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|
30% | 50% | 30% | 50% | 30% | 50% | 30% | 50% | 30% | 50% | ||
|
|||||||||||
Linear | 1.020 | .924 | .985 | .984 | 1.022 | 1.038 | 1.057 | 1.340 | .954 | .816 | |
One split | .855 | .930 | 1.158 | .961 | 1.010 | 1.021 | 2.135 | 1.395 | .813 | .811 | |
Two splits | .924 | .823 | .925 | .99 | .990 | .997 | 1.177 | 1.650 | .805 | .764 | |
Three splits | .912 | .858 | .892 | .824 | 1.017 | .975 | 1.056 | 1.102 | .825 | .727 | |
|
|||||||||||
Linear | .972 | .907 | .945 | .893 | 1.024 | .985 | 1.020 | 1.226 | .945 | .728 | |
One split | .833 | .979 | 1.297 | .869 | .982 | .942 | 1.813 | 1.187 | .729 | .691 | |
Two splits | .920 | .887 | .809 | .815 | .960 | .982 | 1.205 | 1.597 | .749 | .669 | |
Three splits | .921 | .955 | .854 | .793 | 1.019 | .937 | 1.019 | 1.272 | .801 | .714 | |
|
|||||||||||
Linear | .925 | .819 | .952 | 1.042 | 1.034 | 1.055 | 1.037 | 1.301 | .889 | .785 | |
One split | .752 | .931 | 1.166 | 1.048 | 1.022 | 1.019 | 1.843 | 1.268 | .735 | .85 | |
Two splits | .858 | .769 | .916 | .993 | 1.089 | 1.037 | 1.294 | 1.408 | .867 | .725 | |
Three splits | .792 | .855 | .900 | .956 | 1.096 | 1.049 | 1.138 | 1.096 | .792 | .830 | |
|
|||||||||||
Linear | .971 | .971 | .985 | 1.176 | 1.030 | 1.083 | .976 | 1.206 | .809 | .814 | |
One split | .694 | .897 | 1.834 | 1.179 | .983 | .953 | 1.167 | 1.070 | .631 | .678 | |
Two splits | .736 | .681 | .794 | .921 | 1.023 | .962 | 1.173 | 1.015 | .729 | .610 | |
Three splits | .757 | .773 | .909 | .948 | 1.008 | .998 | 1.011 | 1.098 | .707 | .649 | |
|
|||||||||||
Linear | .936 | .887 | .965 | 1.128 | 1.022 | 1.116 | 1.023 | 1.331 | .848 | .774 | |
One split | .695 | .900 | 1.575 | 1.098 | 1.016 | .962 | 1.576 | 1.077 | .689 | .723 | |
Two splits | .789 | .727 | .835 | .939 | 1.037 | .975 | 1.151 | 1.218 | .794 | .635 | |
Three splits | .733 | .838 | .853 | .967 | 1.026 | 1.036 | 1.001 | 1.108 | .741 | .685 |
Note. Relative efficiency ratios computed over SDPrune. Log = logistic regression; CART = classification and regression trees; RF = random forests; MI = multiple imputation.