Research Article
Supporting Risk-Aware Use of Online Translation Tools in Delivering Mental Healthcare Services among Spanish-Speaking Populations
Table 6
Performance of RVM classifiers with paired feature sets.
| Feature | RVM | Training data | Testing data | AUC mean | SD | AUC | Accuracy | Sensitivity | Specificity |
| F1 | D4 + U10 | 0.664 | 0.041 | 0.715 | 0.661 | 0.590 | 0.729 | F2 | D4 + U10 with min-max | 0.639 | 0.041 | 0.736 | 0.661 | 0.566 | 0.753 | F3 | D4 + U10 with L2 | 0.673 | 0.034 | 0.681 | 0.643 | 0.578 | 0.706 | F4 | D4 + U10 with Z-score | 0.627 | 0.065 | 0.722 | 0.649 | 0.554 | 0.741 | F5 | D4 + L10 | 0.650 | 0.041 | 0.681 | 0.595 | 0.615 | 0.577 | F6 | D4 + L10 with min-max | 0.650 | 0.032 | 0.644 | 0.583 | 0.566 | 0.600 | F7 | D4 + L10 with L2 | 0.668 | 0.031 | 0.669 | 0.589 | 0.590 | 0.588 | F8 | D4 + L10 with Z-score | 0.640 | 0.019 | 0.652 | 0.601 | 0.554 | 0.647 | F9 | D4 + S5 | 0.638 | 0.050 | 0.636 | 0.643 | 0.518 | 0.765 | F10 | D4 + S5 with min-max | 0.648 | 0.041 | 0.650 | 0.625 | 0.566 | 0.682 | F11 | D4 + S5 with L2 | 0.655 | 0.054 | 0.608 | 0.607 | 0.602 | 0.612 | F12 | D4 + S5 with Z-score | 0.580 | 0.035 | 0.584 | 0.566 | 0.482 | 0.647 | F13 | U10 + L10 | 0.670 | 0.058 | 0.705 | 0.673 | 0.639 | 0.706 | F14 | U10 + L10 with min-max | 0.691 | 0.019 | 0.717 | 0.667 | 0.590 | 0.741 | F15 | U10 + L10 with L2 | 0.685 | 0.035 | 0.701 | 0.655 | 0.615 | 0.694 | F16 | U10 + L10 with Z-score | 0.641 | 0.018 | 0.712 | 0.643 | 0.590 | 0.694 | F17 | U10 + S5 | 0.633 | 0.045 | 0.699 | 0.643 | 0.518 | 0.765 | F18 | U10 + S5 with min-max | 0.627 | 0.031 | 0.713 | 0.661 | 0.542 | 0.777 | F19 | U10 + S5 with L2 | 0.588 | 0.078 | 0.617 | 0.566 | 0.458 | 0.671 | F20 | U10 + S5 with Z-score | 0.633 | 0.030 | 0.704 | 0.643 | 0.566 | 0.718 | F21 | L10 + S5 | 0.671 | 0.055 | 0.668 | 0.631 | 0.554 | 0.706 | F22 | L10 + S5 with min-max | 0.688 | 0.037 | 0.647 | 0.637 | 0.639 | 0.635 | F23 | L10 + S5 with L2 | 0.682 | 0.037 | 0.653 | 0.583 | 0.615 | 0.553 | F24 | L10 + S5 with Z-score | 0.648 | 0.009 | 0.652 | 0.625 | 0.651 | 0.600 | F25 | D4 + U10 + L10 | 0.652 | 0.049 | 0.688 | 0.637 | 0.578 | 0.694 | F26 | D4 + U10 + L10 with min-max | 0.674 | 0.041 | 0.658 | 0.601 | 0.518 | 0.682 | F27 | D4 + U10 + L10 with L2 | 0.689 | 0.047 | 0.694 | 0.667 | 0.615 | 0.718 | F28 | D4 + U10 + L10 with Z-score | 0.669 | 0.033 | 0.653 | 0.613 | 0.554 | 0.671 | F29 | D4 + U10 + S5 | 0.649 | 0.041 | 0.697 | 0.649 | 0.566 | 0.729 | F30 | D4 + U10 + S5 with min-max | 0.626 | 0.055 | 0.677 | 0.619 | 0.458 | 0.777 | F31 | D4 + U10 + S5 with L2 | 0.665 | 0.057 | 0.674 | 0.655 | 0.639 | 0.671 | F32 | D4 + U10 + S5 with Z-score | 0.629 | 0.021 | 0.680 | 0.673 | 0.530 | 0.812 | F33 | U10 + L10 + S5 | 0.643 | 0.045 | 0.689 | 0.649 | 0.566 | 0.729 | F34 | U10 + L10 + S5 with min-max | 0.685 | 0.027 | 0.697 | 0.637 | 0.590 | 0.682 | F35 | U10 + L10 + S5 with L2 | 0.663 | 0.054 | 0.690 | 0.637 | 0.663 | 0.612 | F36 | U10 + L10 + S5 with Z-score | 0.667 | 0.018 | 0.696 | 0.637 | 0.627 | 0.647 | F37 | D4 + U10 + L10 + S5 | 0.622 | 0.033 | 0.657 | 0.643 | 0.578 | 0.706 | F38 | D4 + U10 + L10 + S5 with min-max | 0.668 | 0.031 | 0.698 | 0.673 | 0.602 | 0.741 | F39 | D4 + U10 + L10 + S5 with L2 | 0.687 | 0.042 | 0.683 | 0.661 | 0.627 | 0.694 | F40 | D4 + U10 + L10 + S5 with Z-score | 0.666 | 0.015 | 0.667 | 0.637 | 0.530 | 0.741 |
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