Table 3 Results for predicting Processing Speed.
Model variables | Models | |||
|---|---|---|---|---|
Random forest | eXtreme Gradient Boosting | Logistic regression | Support vector machines | |
Education, gender, and HIV | 0.74 0.57 | 0.80 0.67 | 0.62 0.54 | 0.71 0.44 |
CATs (behavioral) | 0.80 0.62 | 0.77 0.65 | 0.67 0.57 | 0.64 0.76 |
CATs (electrophysiological) | 0.74 0.47 | 0.68 0.40 | 0.62 0.47 | 0.69 0.42 |
CATs (behavioral and electrophysiological) | 0.75 0.48 | 0.73 0.50 | 0.64 0.37 | 0.85 0.84 |
CATs (behavioral), education, gender, and HIV | 0.78 0.55 | 0.80 0.62 | 0.67 0.57 | 0.62 0.54 |
CATs (electrophysiological), education, gender, and HIV | 0.71 0.44 | 0.69 0.47 | 0.62 0.47 | 0.68 0.52 |
CATs, education, gender, and HIV | 0.75 0.48 | 0.71 0.49 | 0.66 0.39 | 0.71 0.60 |
