Characteristic variables AUC AUC AUC AUC AUC AUC AUC AUC AUC AUC Average AUC Whole Model Error Rate
Training set1 Testing set1 Training set2 Testing set1 Training set3 Testing set1 Training set4 Testing set1 Training set5 Testing set5
FEV1, % predicted 0.661 0.599 0.683 0.547 0.648 0.656 0.645 0.664 0.649 0.647 0.657 0.649 1.27%
FEV1/FVC, % 0.704 0.747 0.702 0.755 0.718 0.707 0.706 0.748 0.725 0.662 0.711 0.713 0.29%
FEV3/FVC, % 0.618 0.593 0.614 0.624 0.622 0.594 0.594 0.709 0.643 0.486 0.618 0.616 0.31%
FEF25%, % predicted 0.656 0.657 0.649 0.674 0.644 0.707 0.645 0.706 0.656 0.660 0.650 0.656 0.92%
FEF25%/FEV1, % 0.579 0.620 0.559 0.666 0.575 0.628 0.574 0.637 0.589 0.572 0.575 0.586 1.85%
FEF50%, % predicted 0.762 0.758 0.765 0.746 0.761 0.771 0.748 0.821 0.775 0.700 0.762 0.762 0.03%
FEF50%/FEV1, % 0.732 0.777 0.733 0.769 0.743 0.747 0.728 0.809 0.757 0.672 0.738 0.741 0.36%
FEF75%, % predicted 0.727 0.826 0.763 0.690 0.750 0.736 0.729 0.810 0.760 0.676 0.746 0.745 0.11%
FEF75%/FEV1, % 0.708 0.842 0.743 0.701 0.741 0.716 0.715 0.801 0.751 0.647 0.732 0.733 0.19%
FEF25%-75%, % predicted 0.759 0.780 0.769 0.743 0.765 0.764 0.748 0.825 0.771 0.724 0.762 0.763 0.10%
FEF25%-75%/FEV1, % 0.735 0.819 0.747 0.768 0.753 0.748 0.737 0.811 0.761 0.701 0.747 0.751 0.57%
R5-R20, kPa·L-1·s# 0.604 0.616 0.594 0.648 0.588 0.665 0.612 0.565 0.595 0.641 0.599 0.604 0.86%
X5, kPa·L-1·s# 0.616 0.561 0.630 0.536 0.581 0.699 0.614 0.577 0.609 0.602 0.610 0.607 0.48%
Fres, L-1·s# 0.640 0.608 0.635 0.639 0.616 0.697 0.663 0.504 0.630 0.652 0.637 0.634 0.43%
FENO, ppb 0.734 0.811 0.778 0.650 0.773 0.663 0.768 0.664 0.739 0.788 0.758 0.748 1.39%
Eos in blood, % # 0.646 0.603 0.666 0.543 0.648 0.603 0.658 0.560 0.644 0.603 0.653 0.63 3.57%
Eos in blood, cell/ul 0.639 0.588 0.665 0.513 0.640 0.592 0.651 0.552 0.645 0.544 0.648 0.638 1.59%
PLT, *10^9/L 0.508 0.410 0.512 0.413 0.516 0.405 0.505 0.528 0.510 0.511 0.510 0.491 3.95%