# Regression and Classification Results

### Classification Results

Best median $$F_1$$ results achieved in all the learners variants tested. Results are displayed by data set an sampling strategy. The highlighted cells signals the best results by data set while the symbol $$\dagger$$ signals the best results inside each sampling strategy.

Learn Strat DS1 DS2 DS3 DS4 DS5 DS6 DS7 DS8 DS9 DS10 DS11 DS12 DS13 DS14 DS15 DS16
SVM None 0.984 0.763 0.859 0.855 1.000 0.976 0.960 0.631 0.586 0.566 0.211 0.182 0.558 0.974 0.667 0.750
U._._ 0.984 $$\dagger$$ 0.765 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 0.678 0.603 $$\dagger$$ 0.623 $$\dagger$$ 0.485 $$\dagger$$ 0.511 0.500 0.930 0.333 0.513
U.F._ 0.984 $$\dagger$$ 0.764 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 0.660 0.600 0.593 0.481 0.524 0.545 $$\dagger$$ 0.952 $$\dagger$$ 0.364 0.533 $$\dagger$$
U.S._ 0.984 $$\dagger$$ 0.766 $$\dagger$$ 0.862 $$\dagger$$ 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.969 $$\dagger$$ 0.693 $$\dagger$$ 0.592 0.611 0.473 0.528 $$\dagger$$ 0.500 0.950 0.400 $$\dagger$$ 0.471
S._._ 0.984 0.767 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 $$\dagger$$ 0.689 0.594 0.617 $$\dagger$$ 0.466 0.521 0.545 0.963 0.500 $$\dagger$$ 0.667 $$\dagger$$
S.S.S 0.985 $$\dagger$$ 0.771 $$\dagger$$ 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 $$\dagger$$ 0.684 0.598 0.614 0.466 0.535 $$\dagger$$ 0.600 $$\dagger$$ 0.963 0.500 $$\dagger$$ 0.667 $$\dagger$$
S.F.S 0.985 $$\dagger$$ 0.771 $$\dagger$$ 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 $$\dagger$$ 0.684 0.598 0.609 0.466 0.535 $$\dagger$$ 0.600 $$\dagger$$ 0.952 0.500 $$\dagger$$ 0.667 $$\dagger$$
S.S.F 0.985 $$\dagger$$ 0.771 $$\dagger$$ 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 $$\dagger$$ 0.693 $$\dagger$$ 0.613 $$\dagger$$ 0.600 0.471 $$\dagger$$ 0.514 0.586 0.974 $$\dagger$$ 0.500 $$\dagger$$ 0.615
S.F.F 0.985 $$\dagger$$ 0.771 $$\dagger$$ 0.859 0.855 $$\dagger$$ 1.000 $$\dagger$$ 0.976 $$\dagger$$ 0.960 $$\dagger$$ 0.693 $$\dagger$$ 0.613 $$\dagger$$ 0.605 0.471 $$\dagger$$ 0.514 0.586 0.952 0.450 0.615
NNET None 0.888 0.755 0.833 0.829 1.000 0.810 0.978 0.526 0.536 0.590 0.467 0.456 0.400 0.914 1.000 0.800
U._._ 0.886 $$\dagger$$ 0.751 0.843 0.837 $$\dagger$$ 1.000 $$\dagger$$ 0.745 0.941 0.574 0.603 $$\dagger$$ 0.569 0.490 0.506 0.400 $$\dagger$$ 0.907 0.333 0.471
U.F._ 0.885 0.760 0.826 0.824 1.000 $$\dagger$$ 0.746 0.939 0.553 0.582 0.542 0.500 0.522 $$\dagger$$ 0.400 $$\dagger$$ 0.923 $$\dagger$$ 0.422 $$\dagger$$ 0.533 $$\dagger$$
U.S._ 0.877 0.762 $$\dagger$$ 0.854 $$\dagger$$ 0.827 1.000 $$\dagger$$ 0.802 $$\dagger$$ 0.959 $$\dagger$$ 0.601 $$\dagger$$ 0.594 0.592 $$\dagger$$ 0.513 $$\dagger$$ 0.488 0.400 $$\dagger$$ 0.889 0.422 $$\dagger$$ 0.466
S._._ 0.888 $$\dagger$$ 0.761 $$\dagger$$ 0.836 $$\dagger$$ 0.846 $$\dagger$$ 1.000 $$\dagger$$ 0.762 0.665 $$\dagger$$ 0.654 $$\dagger$$ 0.603 0.597 0.500 0.541 $$\dagger$$ 0.400 $$\dagger$$ 0.902 0.500 0.667
S.S.S 0.878 0.753 0.825 0.838 1.000 $$\dagger$$ 0.883 $$\dagger$$ 0.958 0.625 0.591 0.605 0.519 $$\dagger$$ 0.505 0.400 $$\dagger$$ 0.909 $$\dagger$$ 0.500 0.667
S.F.S 0.878 0.753 0.813 0.821 1.000 $$\dagger$$ 0.883 $$\dagger$$ 0.958 0.625 0.591 0.637 0.519 $$\dagger$$ 0.505 0.400 $$\dagger$$ 0.909 $$\dagger$$ 0.500 0.690
S.S.F 0.878 0.753 0.825 0.836 1.000 $$\dagger$$ 0.684 0.941 0.574 0.611 $$\dagger$$ 0.657 0.513 0.500 0.400 $$\dagger$$ 0.907 0.571 $$\dagger$$ 0.641
S.F.F 0.878 0.753 0.813 0.840 1.000 $$\dagger$$ 0.684 0.941 0.574 0.611 $$\dagger$$ 0.658 $$\dagger$$ 0.513 0.500 0.400 $$\dagger$$ 0.902 0.500 0.697 $$\dagger$$
RF None 0.985 0.771 0.859 0.855 1.000 0.976 0.960 0.693 0.613 0.605 0.471 0.514 0.586 0.952 0.450 0.615
U._._ 0.959 0.703 $$\dagger$$ 0.859 0.862 0.992 $$\dagger$$ 0.955 0.960 $$\dagger$$ 0.687 $$\dagger$$ 0.601 $$\dagger$$ 0.619 0.449 0.467 $$\dagger$$ 0.400 0.889 0.400 $$\dagger$$ 0.544
U.F._ 0.958 0.698 0.862 $$\dagger$$ 0.871 $$\dagger$$ 0.992 $$\dagger$$ 0.953 0.960 $$\dagger$$ 0.661 0.581 0.609 0.421 0.410 0.500 $$\dagger$$ 0.930 $$\dagger$$ 0.400 $$\dagger$$ 0.539
U.S._ 0.960 $$\dagger$$ 0.698 0.857 0.866 0.992 $$\dagger$$ 0.956 $$\dagger$$ 0.960 $$\dagger$$ 0.672 0.592 0.603 0.476 $$\dagger$$ 0.457 0.400 0.897 0.400 $$\dagger$$ 0.615 $$\dagger$$
S._._ 0.960 $$\dagger$$ 0.694 0.859 $$\dagger$$ 0.871 $$\dagger$$ 0.992 $$\dagger$$ 0.956 0.960 $$\dagger$$ 0.677 0.594 0.621 $$\dagger$$ 0.390 0.421 0.545 0.930 0.536 0.633
S.S.S 0.960 $$\dagger$$ 0.695 $$\dagger$$ 0.857 0.864 0.992 $$\dagger$$ 0.966 $$\dagger$$ 0.959 0.672 0.591 0.604 0.411 0.437 $$\dagger$$ 0.444 0.941 0.667 $$\dagger$$ 0.523
S.F.S 0.960 $$\dagger$$ 0.695 $$\dagger$$ 0.853 0.860 0.992 $$\dagger$$ 0.966 $$\dagger$$ 0.959 0.672 0.591 0.592 0.411 0.437 $$\dagger$$ 0.444 0.930 0.667 $$\dagger$$ 0.500
S.S.F 0.960 $$\dagger$$ 0.695 $$\dagger$$ 0.857 0.864 0.992 $$\dagger$$ 0.953 0.960 $$\dagger$$ 0.690 $$\dagger$$ 0.611 $$\dagger$$ 0.594 0.421 $$\dagger$$ 0.424 0.571 $$\dagger$$ 0.952 $$\dagger$$ 0.571 0.667 $$\dagger$$
S.F.F 0.960 $$\dagger$$ 0.695 $$\dagger$$ 0.853 0.862 0.992 $$\dagger$$ 0.953 0.960 $$\dagger$$ 0.690 $$\dagger$$ 0.611 $$\dagger$$ 0.585 0.421 $$\dagger$$ 0.424 0.571 $$\dagger$$ 0.930 0.536 0.667 $$\dagger$$
RPART None 0.859 0.615 0.840 0.836 0.964 0.907 0.928 0.592 0.528 0.505 0.343 0.437 0.400 0.886 0.667 0.571
U._._ 0.858 0.677 $$\dagger$$ 0.833 0.853 $$\dagger$$ 0.961 0.911 0.904 0.667 0.589 $$\dagger$$ 0.579 0.463 $$\dagger$$ 0.521 $$\dagger$$ 0.500 $$\dagger$$ 0.835 0.400 $$\dagger$$ 0.455
U.F._ 0.860 $$\dagger$$ 0.634 0.840 $$\dagger$$ 0.832 0.961 0.909 0.915 0.662 0.574 0.541 0.444 0.511 0.500 $$\dagger$$ 0.860 $$\dagger$$ 0.382 0.488 $$\dagger$$
U.S._ 0.860 $$\dagger$$ 0.661 0.826 0.838 0.971 $$\dagger$$ 0.917 $$\dagger$$ 0.920 $$\dagger$$ 0.682 $$\dagger$$ 0.584 0.595 $$\dagger$$ 0.462 0.511 0.485 0.841 0.400 0.466
S._._ 0.858 $$\dagger$$ 0.646 0.845 $$\dagger$$ 0.843 0.960 $$\dagger$$ 0.909 0.935 0.661 0.585 0.564 0.421 0.485 0.517 $$\dagger$$ 0.864 $$\dagger$$ 0.667 $$\dagger$$ 0.594
S.S.S 0.856 0.656 $$\dagger$$ 0.845 $$\dagger$$ 0.839 0.957 0.911 $$\dagger$$ 0.930 0.688 $$\dagger$$ 0.596 $$\dagger$$ 0.579 $$\dagger$$ 0.417 0.507 $$\dagger$$ 0.431 0.847 0.500 0.586
S.F.S 0.856 0.656 $$\dagger$$ 0.839 0.835 0.957 0.911 $$\dagger$$ 0.930 0.688 $$\dagger$$ 0.596 $$\dagger$$ 0.571 0.417 0.507 $$\dagger$$ 0.431 0.850 0.583 0.586
S.S.F 0.856 0.656 $$\dagger$$ 0.845 $$\dagger$$ 0.845 $$\dagger$$ 0.957 0.907 0.939 $$\dagger$$ 0.656 0.596 $$\dagger$$ 0.567 0.425 $$\dagger$$ 0.469 0.429 0.857 0.500 0.608 $$\dagger$$
S.F.F 0.856 0.656 $$\dagger$$ 0.839 0.836 0.957 0.907 0.939 $$\dagger$$ 0.656 0.596 $$\dagger$$ 0.573 0.425 $$\dagger$$ 0.469 0.429 0.840 0.500 0.608 $$\dagger$$

### Regression Results

Best median $$F_1^\phi$$ results achieved in all the learners variants tested. Results are displayed by data set an sampling strategy. The highlighted cells signals the best results by data set while the symbol $$\dagger$$ signals the best results inside each sampling strategy.

Learn Strat DS1 DS2 DS3 DS4 DS5 DS6 DS7 DS8 DS9 DS10 DS11 DS12 DS13 DS14 DS15 DS16 DS17 DS18
SVM None 0.720 0.514 0.711 0.825 0.512 0.493 0.000 0.333 0.905 0.228 0.923 0.956 0.198 0.980 0.952 0.918 0.922 0.184
U._._ 0.727 0.591 $$\dagger$$ 0.740 $$\dagger$$ 0.818 $$\dagger$$ 0.559 0.598 0.750 0.420 $$\dagger$$ 0.890 0.602 $$\dagger$$ 0.899 0.943 0.190 0.971 0.953 0.896 0.918 $$\dagger$$ 0.247
U.F._ 0.721 0.589 0.738 0.818 $$\dagger$$ 0.570 $$\dagger$$ 0.604 0.755 $$\dagger$$ 0.404 0.896 0.571 0.901 $$\dagger$$ 0.947 $$\dagger$$ 0.200 0.977 $$\dagger$$ 0.953 0.917 $$\dagger$$ 0.918 $$\dagger$$ 0.264 $$\dagger$$
U.S._ 0.737 $$\dagger$$ 0.557 0.740 $$\dagger$$ 0.809 0.537 0.607 $$\dagger$$ 0.750 0.380 0.897 $$\dagger$$ 0.586 0.901 $$\dagger$$ 0.941 0.204 $$\dagger$$ 0.975 0.954 $$\dagger$$ 0.894 0.917 0.234
S._._ 0.750 0.556 0.739 $$\dagger$$ 0.817 0.553 0.596 0.732 0.425 $$\dagger$$ 0.907 0.598 0.905 0.949 0.206 0.975 $$\dagger$$ 0.954 0.930 0.906 0.267
S.S.S 0.733 0.528 0.738 0.811 0.517 0.631 $$\dagger$$ 0.749 0.375 0.913 $$\dagger$$ 0.616 0.907 0.950 0.202 0.975 $$\dagger$$ 0.955 $$\dagger$$ 0.922 0.912 $$\dagger$$ 0.265
S.F.S 0.729 0.526 0.736 0.811 0.560 0.598 0.754 $$\dagger$$ 0.377 0.911 0.585 0.910 $$\dagger$$ 0.953 $$\dagger$$ 0.203 0.974 0.954 0.933 $$\dagger$$ 0.912 $$\dagger$$ 0.283 $$\dagger$$
S.S.F 0.755 $$\dagger$$ 0.564 $$\dagger$$ 0.738 0.824 0.557 0.624 0.745 0.414 0.910 0.625 0.905 0.939 0.223 0.974 0.953 0.929 0.904 0.277
S.F.F 0.723 0.563 0.739 $$\dagger$$ 0.829 $$\dagger$$ 0.573 $$\dagger$$ 0.626 0.724 0.393 0.911 0.638 $$\dagger$$ 0.907 0.942 0.234 $$\dagger$$ 0.975 $$\dagger$$ 0.954 0.932 0.905 0.258
NNET None 0.813 0.446 0.723 0.000 0.462 0.523 0.696 0.383 0.787 0.000 0.000 0.720 0.099 0.000 0.957 0.000 0.000 0.000
U._._ 0.733 0.561 0.738 $$\dagger$$ 0.573 0.550 0.607 $$\dagger$$ 0.684 0.416 0.743 0.577 0.621 0.779 0.333 0.753 $$\dagger$$ 0.953 $$\dagger$$ 0.775 0.702 0.168
U.F._ 0.781 $$\dagger$$ 0.564 $$\dagger$$ 0.733 0.569 0.546 0.591 0.708 $$\dagger$$ 0.419 0.784 $$\dagger$$ 0.573 0.625 0.794 0.234 0.742 0.953 $$\dagger$$ 0.778 0.713 0.152
U.S._ 0.734 0.559 0.736 0.582 $$\dagger$$ 0.545 0.599 0.706 0.424 $$\dagger$$ 0.736 0.599 $$\dagger$$ 0.628 $$\dagger$$ 0.810 $$\dagger$$ 0.345 $$\dagger$$ 0.730 0.953 $$\dagger$$ 0.795 $$\dagger$$ 0.740 $$\dagger$$ 0.217 $$\dagger$$
S._._ 0.763 0.542 0.739 $$\dagger$$ 0.624 0.536 0.598 0.705 0.431 0.763 0.619 0.614 0.000 0.319 0.654 0.953 0.386 0.744 0.092
S.S.S 0.803 $$\dagger$$ 0.552 0.735 0.592 0.546 0.623 $$\dagger$$ 0.711 0.450 $$\dagger$$ 0.771 0.626 0.594 0.000 0.415 $$\dagger$$ 0.685 0.952 0.789 $$\dagger$$ 0.683 0.181 $$\dagger$$
S.F.S 0.780 0.551 0.736 0.604 0.550 0.607 0.703 0.404 0.763 0.636 $$\dagger$$ 0.616 0.000 0.297 0.685 0.954 $$\dagger$$ 0.779 0.727 0.155
S.S.F 0.788 0.554 0.737 0.619 0.537 0.600 0.732 0.415 0.783 $$\dagger$$ 0.609 0.618 $$\dagger$$ 0.000 0.324 0.724 0.951 0.781 0.750 0.112
S.F.F 0.785 0.555 $$\dagger$$ 0.737 0.635 $$\dagger$$ 0.552 $$\dagger$$ 0.606 0.741 $$\dagger$$ 0.401 0.757 0.615 0.584 0.000 0.328 0.744 $$\dagger$$ 0.952 0.000 0.777 $$\dagger$$ 0.150
RF None 0.803 0.535 0.721 0.808 0.508 0.565 0.720 0.327 0.904 0.000 0.921 0.967 0.529 0.973 0.947 0.956 0.937 0.196
U._._ 0.756 $$\dagger$$ 0.553 $$\dagger$$ 0.731 $$\dagger$$ 0.786 0.549 0.580 0.741 0.392 0.907 $$\dagger$$ 0.652 $$\dagger$$ 0.898 0.954 $$\dagger$$ 0.487 0.950 0.943 $$\dagger$$ 0.908 0.907 0.193
U.F._ 0.732 0.549 0.725 0.803 $$\dagger$$ 0.561 $$\dagger$$ 0.582 $$\dagger$$ 0.740 0.384 0.903 0.628 0.902 $$\dagger$$ 0.953 0.506 $$\dagger$$ 0.957 $$\dagger$$ 0.942 0.906 0.921 $$\dagger$$ 0.249 $$\dagger$$
U.S._ 0.727 0.553 $$\dagger$$ 0.728 0.798 0.553 0.578 0.783 $$\dagger$$ 0.410 $$\dagger$$ 0.896 0.650 0.890 0.953 0.485 0.948 0.941 0.911 $$\dagger$$ 0.910 0.190
S._._ 0.795 0.531 0.729 $$\dagger$$ 0.815 $$\dagger$$ 0.594 $$\dagger$$ 0.605 $$\dagger$$ 0.754 0.452 $$\dagger$$ 0.907 0.657 0.921 0.968 0.511 0.971 0.946 0.950 0.943 0.232
S.S.S 0.802 0.520 0.726 0.812 0.572 0.570 0.763 $$\dagger$$ 0.448 0.916 $$\dagger$$ 0.655 0.918 0.965 0.525 0.970 0.949 $$\dagger$$ 0.943 0.943 0.168
S.F.S 0.759 0.555 $$\dagger$$ 0.729 $$\dagger$$ 0.808 0.566 0.598 0.723 0.391 0.915 0.635 0.924 $$\dagger$$ 0.972 $$\dagger$$ 0.527 $$\dagger$$ 0.973 0.949 $$\dagger$$ 0.938 0.946 $$\dagger$$ 0.193
S.S.F 0.805 $$\dagger$$ 0.535 0.725 0.811 0.590 0.605 $$\dagger$$ 0.758 0.447 0.904 0.680 $$\dagger$$ 0.912 0.968 0.497 0.970 0.946 0.945 0.934 0.228
S.F.F 0.772 0.545 0.726 0.798 0.562 0.601 0.754 0.431 0.904 0.650 0.915 0.969 0.501 0.974 $$\dagger$$ 0.946 0.953 $$\dagger$$ 0.940 0.235 $$\dagger$$
MARS None 0.743 0.517 0.718 0.827 0.565 0.523 0.706 0.313 0.914 0.000 0.892 0.936 0.188 0.979 0.956 0.895 0.918 0.221
U._._ 0.666 0.549 $$\dagger$$ 0.738 $$\dagger$$ 0.825 $$\dagger$$ 0.564 $$\dagger$$ 0.576 0.749 $$\dagger$$ 0.405 0.897 $$\dagger$$ 0.583 0.890 0.915 0.232 0.998 0.953 0.897 0.905 $$\dagger$$ 0.262 $$\dagger$$
U.F._ 0.655 0.539 0.738 $$\dagger$$ 0.792 0.540 0.522 0.721 0.391 0.893 0.606 $$\dagger$$ 0.892 $$\dagger$$ 0.916 $$\dagger$$ 0.236 $$\dagger$$ 0.998 0.955 $$\dagger$$ 0.900 $$\dagger$$ 0.902 0.223
U.S._ 0.669 $$\dagger$$ 0.539 0.733 0.804 0.532 0.584 $$\dagger$$ 0.733 0.409 $$\dagger$$ 0.892 0.596 0.884 0.913 0.236 $$\dagger$$ 0.999 $$\dagger$$ 0.954 0.885 0.901 0.246
S._._ 0.745 $$\dagger$$ 0.550 $$\dagger$$ 0.737 $$\dagger$$ 0.806 0.563 0.608 0.743 0.412 $$\dagger$$ 0.901 0.589 0.891 0.910 0.239 0.982 $$\dagger$$ 0.953 0.917 0.919 $$\dagger$$ 0.266 $$\dagger$$
S.S.S 0.729 0.537 0.735 0.819 $$\dagger$$ 0.550 0.602 0.737 0.406 0.898 0.641 $$\dagger$$ 0.894 0.916 0.254 0.981 0.953 0.912 0.916 0.249
S.F.S 0.703 0.543 0.734 0.813 0.551 0.618 $$\dagger$$ 0.724 0.393 0.893 0.621 0.898 $$\dagger$$ 0.923 $$\dagger$$ 0.261 0.980 0.951 0.921 $$\dagger$$ 0.916 0.232
S.S.F 0.729 0.533 0.734 0.810 0.583 $$\dagger$$ 0.612 0.752 $$\dagger$$ 0.391 0.906 $$\dagger$$ 0.606 0.866 0.904 0.169 0.976 0.953 0.913 0.914 0.232
S.F.F 0.682 0.542 0.735 0.819 $$\dagger$$ 0.558 0.612 0.737 0.387 0.894 0.639 0.886 0.905 0.172 0.977 0.955 $$\dagger$$ 0.912 0.916 0.242