From: Predicting high blood pressure using machine learning models in low- and middle-income countries
Country | Model | Accuracy | Precision | Recall | F1 Score |
---|---|---|---|---|---|
Ethiopia | Logistic Regression | 0.625536 | 0.625842 | 0.623066 | 0.622245 |
KNN | 0.589592 | 0.588780 | 0.588278 | 0.588184 | |
Random Forest | 0.624464 | 0.623993 | 0.622877 | 0.622740 | |
XGBoost | 0.598712 | 0.598074 | 0.597907 | 0.597934 | |
FCNN | 0.622854 | 0.623633 | 0.619993 | 0.618681 | |
Georgia | Logistic Regression | 0.733831 | 0.705691 | 0.688705 | 0.694650 |
KNN | 0.662935 | 0.622973 | 0.616784 | 0.619009 | |
Random Forest | 0.717662 | 0.690813 | 0.648612 | 0.655733 | |
XGBoost | 0.702736 | 0.668253 | 0.653978 | 0.658629 | |
FCNN | 0.725124 | 0.696775 | 0.668602 | 0.676023 | |
Palestine | Logistic Regression | 0.665630 | 0.657683 | 0.659452 | 0.658328 |
KNN | 0.644635 | 0.634411 | 0.634048 | 0.634220 | |
Random Forest | 0.692068 | 0.682941 | 0.680831 | 0.681709 | |
XGBoost | 0.671851 | 0.662777 | 0.662947 | 0.662861 | |
FCNN | 0.676516 | 0.667312 | 0.666953 | 0.667125 | |
Bahamas | Logistic Regression | 0.681818 | 0.649082 | 0.617983 | 0.620913 |
KNN | 0.582645 | 0.530801 | 0.527957 | 0.527005 | |
Random Forest | 0.714876 | 0.707520 | 0.638747 | 0.642311 | |
XGBoost | 0.665289 | 0.630389 | 0.620208 | 0.623060 | |
FCNN | 0.661157 | 0.625199 | 0.564034 | 0.545696 | |
Barbados | Logistic Regression | 0.696429 | 0.655050 | 0.659357 | 0.656937 |
KNN | 0.696429 | 0.649321 | 0.644737 | 0.646753 | |
Random Forest | 0.732143 | 0.690244 | 0.671053 | 0.677791 | |
XGBoost | 0.660714 | 0.615220 | 0.618421 | 0.616577 | |
FCNN | 0.678571 | 0.619048 | 0.602339 | 0.606250 | |
Eritrea | Logistic Regression | 0.686074 | 0.659219 | 0.619708 | 0.621790 |
KNN | 0.638867 | 0.595351 | 0.579376 | 0.579375 | |
Random Forest | 0.689221 | 0.662502 | 0.626358 | 0.629580 | |
XGBoost | 0.651456 | 0.612989 | 0.597621 | 0.599444 | |
FCNN | 0.684500 | 0.654385 | 0.637041 | 0.641096 | |
Chad | Logistic Regression | 0.672269 | 0.672207 | 0.658439 | 0.658373 |
KNN | 0.579832 | 0.571347 | 0.567640 | 0.566327 | |
Random Forest | 0.613445 | 0.613805 | 0.590466 | 0.579814 | |
XGBoost | 0.565826 | 0.557158 | 0.554949 | 0.554056 | |
FCNN | 0.666667 | 0.662973 | 0.657471 | 0.658258 | |
Palau | Logistic Regression | 0.733333 | 0.733410 | 0.733493 | 0.733321 |
KNN | 0.633333 | 0.633273 | 0.633320 | 0.633268 | |
Random Forest | 0.696667 | 0.699336 | 0.697679 | 0.696258 | |
XGBoost | 0.693333 | 0.695670 | 0.694278 | 0.692992 | |
FCNN | 0.740000 | 0.740991 | 0.740563 | 0.739954 | |
Belarus | Logistic Regression | 0.816139 | 0.738583 | 0.690975 | 0.708446 |
KNN | 0.781410 | 0.676625 | 0.642754 | 0.654732 | |
Random Forest | 0.814096 | 0.740968 | 0.665448 | 0.687578 | |
XGBoost | 0.803882 | 0.716959 | 0.668544 | 0.685272 | |
FCNN | 0.814096 | 0.733316 | 0.700955 | 0.714092 | |
Nauru | Logistic Regression | 0.719388 | 0.716654 | 0.713805 | 0.714747 |
KNN | 0.566327 | 0.570330 | 0.570707 | 0.566225 | |
Random Forest | 0.734694 | 0.744056 | 0.720328 | 0.721925 | |
XGBoost | 0.663265 | 0.661066 | 0.651305 | 0.651509 | |
FCNN | 0.704082 | 0.701258 | 0.702020 | 0.701565 | |
Botswana | Logistic Regression | 0.647143 | 0.637373 | 0.636700 | 0.637002 |
KNN | 0.584286 | 0.571909 | 0.571253 | 0.571482 | |
Random Forest | 0.657143 | 0.646250 | 0.637345 | 0.638738 | |
XGBoost | 0.662857 | 0.653093 | 0.651185 | 0.651935 | |
FCNN | 0.641429 | 0.629754 | 0.625674 | 0.626709 | |
Malawi | Logistic Regression | 0.688889 | 0.678105 | 0.653439 | 0.656297 |
KNN | 0.623810 | 0.598810 | 0.582011 | 0.579260 | |
Random Forest | 0.680952 | 0.674762 | 0.636243 | 0.636182 | |
XGBoost | 0.666667 | 0.650107 | 0.641534 | 0.643684 | |
FCNN | 0.701587 | 0.708848 | 0.653439 | 0.653830 | |
Fiji | Logistic Regression | 0.673428 | 0.647494 | 0.645718 | 0.646529 |
KNN | 0.643002 | 0.608170 | 0.599642 | 0.601558 | |
Random Forest | 0.705882 | 0.684696 | 0.652801 | 0.658282 | |
XGBoost | 0.653144 | 0.618364 | 0.605335 | 0.607574 | |
FCNN | 0.713996 | 0.696499 | 0.659212 | 0.665328 | |
Niger | Logistic Regression | 0.665169 | 0.609734 | 0.588531 | 0.590520 |
KNN | 0.638202 | 0.580668 | 0.571469 | 0.572904 | |
Random Forest | 0.669663 | 0.611601 | 0.577175 | 0.575020 | |
XGBoost | 0.653933 | 0.598522 | 0.584972 | 0.587129 | |
FCNN | 0.676404 | 0.623507 | 0.592090 | 0.593463 | |
Vanuatu | Logistic Regression | 0.645735 | 0.642009 | 0.626388 | 0.624881 |
KNN | 0.614929 | 0.606436 | 0.600939 | 0.600760 | |
Random Forest | 0.635071 | 0.636640 | 0.608446 | 0.600585 | |
XGBoost | 0.637441 | 0.630802 | 0.622186 | 0.622109 | |
FCNN | 0.654028 | 0.649372 | 0.637857 | 0.637924 | |
Qatar | Logistic Regression | 0.663573 | 0.662685 | 0.662433 | 0.662527 |
KNN | 0.587007 | 0.585272 | 0.583531 | 0.582855 | |
Random Forest | 0.654292 | 0.653333 | 0.652903 | 0.653030 | |
XGBoost | 0.619490 | 0.618318 | 0.617904 | 0.617990 | |
FCNN | 0.647332 | 0.647693 | 0.643320 | 0.642714 | |
Azerbaijan | Logistic Regression | 0.713693 | 0.699672 | 0.667344 | 0.673018 |
KNN | 0.668050 | 0.642422 | 0.631758 | 0.634516 | |
Random Forest | 0.740664 | 0.737720 | 0.692253 | 0.700241 | |
XGBoost | 0.738589 | 0.722867 | 0.708956 | 0.713744 | |
FCNN | 0.742739 | 0.737575 | 0.697161 | 0.705199 | |
Bhutan | Logistic Regression | 0.715074 | 0.695368 | 0.669524 | 0.675488 |
KNN | 0.658088 | 0.629602 | 0.624850 | 0.626589 | |
Random Forest | 0.697610 | 0.675012 | 0.645892 | 0.650623 | |
XGBoost | 0.690257 | 0.664531 | 0.652934 | 0.656516 | |
FCNN | 0.705882 | 0.682779 | 0.666355 | 0.671059 | |
Togo | Logistic Regression | 0.639726 | 0.635969 | 0.633385 | 0.633782 |
KNN | 0.595890 | 0.590321 | 0.586691 | 0.585970 | |
Random Forest | 0.602740 | 0.599778 | 0.599965 | 0.599853 | |
XGBoost | 0.656164 | 0.653118 | 0.652706 | 0.652881 | |
FCNN | 0.643836 | 0.642635 | 0.631910 | 0.630636 | |
Tokelau | Logistic Regression | 0.718447 | 0.713716 | 0.716680 | 0.714572 |
KNN | 0.669903 | 0.661943 | 0.654083 | 0.655586 | |
Random Forest | 0.766990 | 0.763889 | 0.756163 | 0.758782 | |
XGBoost | 0.776699 | 0.775240 | 0.764638 | 0.767950 | |
FCNN | 0.766990 | 0.763889 | 0.756163 | 0.758782 | |
Gambia | Logistic Regression | 0.667166 | 0.644245 | 0.620177 | 0.621805 |
KNN | 0.650675 | 0.624230 | 0.611214 | 0.613045 | |
Random Forest | 0.674663 | 0.660153 | 0.615211 | 0.613135 | |
XGBoost | 0.638681 | 0.610284 | 0.599272 | 0.600582 | |
FCNN | 0.668666 | 0.648221 | 0.614764 | 0.614510 | |
Guyana | Logistic Regression | 0.703704 | 0.706216 | 0.700129 | 0.700000 |
KNN | 0.615984 | 0.615574 | 0.612321 | 0.611353 | |
Random Forest | 0.697856 | 0.698430 | 0.695233 | 0.695407 | |
XGBoost | 0.692008 | 0.691562 | 0.690337 | 0.690567 | |
FCNN | 0.684211 | 0.685751 | 0.680772 | 0.680538 | |
Micronesia | Logistic Regression | 0.736170 | 0.734393 | 0.736142 | 0.734782 |
KNN | 0.685106 | 0.683812 | 0.685425 | 0.683818 | |
Random Forest | 0.719149 | 0.717334 | 0.718956 | 0.717671 | |
XGBoost | 0.710638 | 0.709366 | 0.711204 | 0.709455 | |
FCNN | 0.748936 | 0.746934 | 0.744405 | 0.745321 | |
Bangladesh | Logistic Regression | 0.692046 | 0.692115 | 0.692152 | 0.692041 |
KNN | 0.643100 | 0.643257 | 0.643257 | 0.643100 | |
Random Forest | 0.682529 | 0.683077 | 0.682866 | 0.682491 | |
XGBoost | 0.664854 | 0.665434 | 0.665208 | 0.664804 | |
FCNN | 0.693406 | 0.693341 | 0.693363 | 0.693349 | |
Mali | Logistic Regression | 0.666667 | 0.656082 | 0.660343 | 0.657143 |
KNN | 0.671569 | 0.660462 | 0.664408 | 0.661608 | |
Random Forest | 0.691176 | 0.676740 | 0.674345 | 0.675381 | |
XGBoost | 0.656863 | 0.642637 | 0.643782 | 0.643143 | |
FCNN | 0.710784 | 0.697601 | 0.688497 | 0.691503 | |
Tuvalu | Logistic Regression | 0.782407 | 0.758696 | 0.702644 | 0.718368 |
KNN | 0.703704 | 0.639287 | 0.596314 | 0.599954 | |
Random Forest | 0.763889 | 0.808107 | 0.631724 | 0.639139 | |
XGBoost | 0.782407 | 0.761892 | 0.698538 | 0.715080 | |
FCNN | 0.773148 | 0.737654 | 0.708254 | 0.718743 | |
Mongolia | Logistic Regression | 0.729839 | 0.732957 | 0.729222 | 0.728563 |
KNN | 0.642137 | 0.644449 | 0.641420 | 0.639968 | |
Random Forest | 0.730847 | 0.731299 | 0.730586 | 0.730549 | |
XGBoost | 0.706653 | 0.706958 | 0.706410 | 0.706366 | |
FCNN | 0.721774 | 0.722880 | 0.721380 | 0.721175 | |
Eswatini | Logistic Regression | 0.628205 | 0.622158 | 0.621067 | 0.621438 |
KNN | 0.622711 | 0.615863 | 0.613536 | 0.614005 | |
Random Forest | 0.624542 | 0.617705 | 0.607775 | 0.606472 | |
XGBoost | 0.635531 | 0.629408 | 0.620223 | 0.619818 | |
FCNN | 0.635531 | 0.629808 | 0.628930 | 0.629262 | |
Myanmar | Logistic Regression | 0.710175 | 0.697167 | 0.697047 | 0.697106 |
KNN | 0.649825 | 0.632651 | 0.630654 | 0.631472 | |
Random Forest | 0.704561 | 0.692208 | 0.674789 | 0.678739 | |
XGBoost | 0.692632 | 0.677698 | 0.666727 | 0.669762 | |
FCNN | 0.703158 | 0.690313 | 0.691536 | 0.690880 | |
Maldives | Logistic Regression | 0.713262 | 0.716073 | 0.710268 | 0.710130 |
KNN | 0.670251 | 0.675646 | 0.665775 | 0.663679 | |
Random Forest | 0.731183 | 0.733325 | 0.728641 | 0.728828 | |
XGBoost | 0.684588 | 0.685456 | 0.682115 | 0.682035 | |
FCNN | 0.731183 | 0.730839 | 0.730340 | 0.730504 | |
Uganda | Logistic Regression | 0.647868 | 0.642360 | 0.611689 | 0.606781 |
KNN | 0.570839 | 0.555112 | 0.553520 | 0.553566 | |
Random Forest | 0.627235 | 0.628617 | 0.577554 | 0.555532 | |
XGBoost | 0.602476 | 0.583961 | 0.573499 | 0.570627 | |
FCNN | 0.647868 | 0.660842 | 0.599872 | 0.582858 | |
Mozambique | Logistic Regression | 0.663551 | 0.638310 | 0.614308 | 0.615575 |
KNN | 0.605607 | 0.575077 | 0.571241 | 0.571959 | |
Random Forest | 0.635514 | 0.601050 | 0.577543 | 0.573503 | |
XGBoost | 0.659813 | 0.633941 | 0.620690 | 0.623088 | |
FCNN | 0.656075 | 0.629357 | 0.599802 | 0.598230 | |
Benin | Logistic Regression | 0.649294 | 0.623345 | 0.610178 | 0.611866 |
KNN | 0.630836 | 0.600436 | 0.587284 | 0.587344 | |
Random Forest | 0.665581 | 0.650284 | 0.603476 | 0.598268 | |
XGBoost | 0.628664 | 0.597301 | 0.583417 | 0.582925 | |
FCNN | 0.644951 | 0.620728 | 0.614520 | 0.616219 | |
Moldova | Logistic Regression | 0.839080 | 0.781997 | 0.676812 | 0.706276 |
KNN | 0.791667 | 0.672123 | 0.626687 | 0.640873 | |
Random Forest | 0.826149 | 0.777489 | 0.625866 | 0.651087 | |
XGBoost | 0.806034 | 0.701556 | 0.645841 | 0.663475 | |
FCNN | 0.821839 | 0.734792 | 0.668418 | 0.689889 | |
Nepal | Logistic Regression | 0.664875 | 0.629546 | 0.601241 | 0.601854 |
KNN | 0.637993 | 0.596695 | 0.583224 | 0.584017 | |
Random Forest | 0.668459 | 0.640692 | 0.584701 | 0.575610 | |
XGBoost | 0.633513 | 0.586801 | 0.568709 | 0.566421 | |
FCNN | 0.672939 | 0.645476 | 0.594506 | 0.589560 | |
Comoros | Logistic Regression | 0.689252 | 0.689676 | 0.689551 | 0.689237 |
KNN | 0.600467 | 0.600530 | 0.600552 | 0.600459 | |
Random Forest | 0.689252 | 0.692012 | 0.690125 | 0.688702 | |
XGBoost | 0.657710 | 0.659065 | 0.658326 | 0.657463 | |
FCNN | 0.679907 | 0.679987 | 0.679515 | 0.679513 | |
Tonga | Logistic Regression | 0.723935 | 0.672291 | 0.608892 | 0.614364 |
KNN | 0.666667 | 0.587003 | 0.571578 | 0.573714 | |
Random Forest | 0.707783 | 0.642865 | 0.579910 | 0.577661 | |
XGBoost | 0.712188 | 0.650688 | 0.615081 | 0.621744 | |
FCNN | 0.709251 | 0.644995 | 0.598299 | 0.602426 | |
Grenada | Logistic Regression | 0.624309 | 0.589517 | 0.576799 | 0.576171 |
KNN | 0.668508 | 0.644887 | 0.618077 | 0.619428 | |
Random Forest | 0.646409 | 0.616013 | 0.591874 | 0.590266 | |
XGBoost | 0.629834 | 0.595878 | 0.581263 | 0.580627 | |
FCNN | 0.624309 | 0.587409 | 0.571234 | 0.568685 | |
Madagascar | Logistic Regression | 0.631734 | 0.605470 | 0.574197 | 0.564566 |
KNN | 0.619980 | 0.592991 | 0.583253 | 0.583279 | |
Random Forest | 0.671890 | 0.671190 | 0.611675 | 0.604290 | |
XGBoost | 0.670911 | 0.653440 | 0.631797 | 0.633806 | |
FCNN | 0.647405 | 0.625052 | 0.602382 | 0.601359 | |
Ecuador | Logistic Regression | 0.715566 | 0.707130 | 0.689602 | 0.693620 |
KNN | 0.645017 | 0.627281 | 0.608577 | 0.608124 | |
Random Forest | 0.702128 | 0.693695 | 0.672091 | 0.675682 | |
XGBoost | 0.678611 | 0.665848 | 0.648793 | 0.651281 | |
FCNN | 0.707727 | 0.700692 | 0.677236 | 0.681109 | |
Gabon | Logistic Regression | 0.686534 | 0.686788 | 0.677684 | 0.678177 |
KNN | 0.609272 | 0.607233 | 0.595057 | 0.590087 | |
Random Forest | 0.679912 | 0.678897 | 0.671969 | 0.672533 | |
XGBoost | 0.637969 | 0.634601 | 0.631053 | 0.631283 | |
FCNN | 0.668874 | 0.668249 | 0.669465 | 0.668018 | |
Libya | Logistic Regression | 0.738636 | 0.717506 | 0.692677 | 0.700026 |
KNN | 0.691558 | 0.660090 | 0.646970 | 0.650998 | |
Random Forest | 0.743506 | 0.734682 | 0.681313 | 0.690963 | |
XGBoost | 0.712662 | 0.685109 | 0.670455 | 0.675283 | |
FCNN | 0.745130 | 0.726864 | 0.696717 | 0.705081 | |
Zambia | Logistic Regression | 0.650530 | 0.652300 | 0.644968 | 0.643626 |
KNN | 0.571861 | 0.569341 | 0.566721 | 0.564833 | |
Random Forest | 0.617247 | 0.615781 | 0.614002 | 0.613849 | |
XGBoost | 0.594554 | 0.592675 | 0.591325 | 0.591071 | |
FCNN | 0.659607 | 0.661574 | 0.654231 | 0.653177 | |
Lesotho | Logistic Regression | 0.700855 | 0.647063 | 0.612088 | 0.617310 |
KNN | 0.643875 | 0.576465 | 0.567747 | 0.569367 | |
Random Forest | 0.675214 | 0.597547 | 0.553674 | 0.542593 | |
XGBoost | 0.663818 | 0.600459 | 0.587101 | 0.589921 | |
FCNN | 0.669516 | 0.592877 | 0.561092 | 0.556818 | |
Namibia | Logistic Regression | 0.681890 | 0.682331 | 0.588432 | 0.572695 |
KNN | 0.656693 | 0.618461 | 0.588699 | 0.586904 | |
Random Forest | 0.650394 | 0.608842 | 0.568190 | 0.557455 | |
XGBoost | 0.636220 | 0.589815 | 0.568912 | 0.565621 | |
FCNN | 0.677165 | 0.665168 | 0.587453 | 0.574426 | |
Tanzania | Logistic Regression | 0.639960 | 0.629931 | 0.602395 | 0.597317 |
KNN | 0.553907 | 0.527434 | 0.524584 | 0.520730 | |
Random Forest | 0.613254 | 0.596192 | 0.569989 | 0.557808 | |
XGBoost | 0.601385 | 0.582168 | 0.574107 | 0.572687 | |
FCNN | 0.629080 | 0.615445 | 0.611444 | 0.612355 | |
Liberia | Logistic Regression | 0.702128 | 0.663095 | 0.638105 | 0.643939 |
KNN | 0.595745 | 0.543750 | 0.542339 | 0.542755 | |
Random Forest | 0.617021 | 0.495935 | 0.497984 | 0.465909 | |
XGBoost | 0.787234 | 0.763105 | 0.763105 | 0.763105 | |
FCNN | 0.723404 | 0.693182 | 0.654234 | 0.662244 | |
Samoa | Logistic Regression | 0.756410 | 0.756872 | 0.754120 | 0.754707 |
KNN | 0.669872 | 0.672818 | 0.664552 | 0.663480 | |
Random Forest | 0.750000 | 0.750836 | 0.747363 | 0.747970 | |
XGBoost | 0.733974 | 0.734327 | 0.731460 | 0.731967 | |
FCNN | 0.778846 | 0.778256 | 0.778428 | 0.778334 | |
Afghanistan | Logistic Regression | 0.661623 | 0.648159 | 0.647146 | 0.647605 |
KNN | 0.617607 | 0.608101 | 0.610741 | 0.608480 | |
Random Forest | 0.672627 | 0.658818 | 0.655292 | 0.656613 | |
XGBoost | 0.658872 | 0.648610 | 0.651388 | 0.649481 | |
FCNN | 0.662999 | 0.650104 | 0.649939 | 0.650020 | |
Ghana | Logistic Regression | 0.708087 | 0.665085 | 0.651338 | 0.656177 |
KNN | 0.641026 | 0.589921 | 0.587628 | 0.588591 | |
Random Forest | 0.706114 | 0.660886 | 0.630063 | 0.636402 | |
XGBoost | 0.682446 | 0.632649 | 0.620033 | 0.623924 | |
FCNN | 0.694280 | 0.644149 | 0.615146 | 0.620129 | |
Rwanda | Logistic Regression | 0.615162 | 0.614989 | 0.614894 | 0.614902 |
KNN | 0.549458 | 0.549088 | 0.548373 | 0.547238 | |
Random Forest | 0.610830 | 0.611647 | 0.609647 | 0.608537 | |
XGBoost | 0.597834 | 0.597648 | 0.597586 | 0.597591 | |
FCNN | 0.622383 | 0.626220 | 0.623707 | 0.620921 | |
Niue | Logistic Regression | 0.738562 | 0.734921 | 0.731170 | 0.732517 |
KNN | 0.679739 | 0.675731 | 0.677195 | 0.676197 | |
Random Forest | 0.718954 | 0.719697 | 0.703835 | 0.706098 | |
XGBoost | 0.705882 | 0.701882 | 0.695505 | 0.697136 | |
FCNN | 0.738562 | 0.738978 | 0.742711 | 0.737654 | |
Armenia | Logistic Regression | 0.755747 | 0.687307 | 0.661098 | 0.670510 |
KNN | 0.744253 | 0.669384 | 0.640046 | 0.649412 | |
Random Forest | 0.781609 | 0.737388 | 0.659164 | 0.677070 | |
XGBoost | 0.747126 | 0.676745 | 0.661743 | 0.667867 | |
FCNN | 0.772989 | 0.737395 | 0.626940 | 0.641017 | |
Kiribati | Logistic Regression | 0.736170 | 0.691840 | 0.661407 | 0.670362 |
KNN | 0.693617 | 0.634327 | 0.615746 | 0.620764 | |
Random Forest | 0.765957 | 0.739412 | 0.683146 | 0.697172 | |
XGBoost | 0.727660 | 0.681974 | 0.673451 | 0.677087 | |
FCNN | 0.731915 | 0.686502 | 0.650999 | 0.660132 | |
Algeria | Logistic Regression | 0.663808 | 0.663813 | 0.663801 | 0.663799 |
KNN | 0.613208 | 0.613269 | 0.613184 | 0.613125 | |
Random Forest | 0.661235 | 0.662057 | 0.661294 | 0.660856 | |
XGBoost | 0.643225 | 0.643734 | 0.643274 | 0.642956 | |
FCNN | 0.669811 | 0.669832 | 0.669800 | 0.669792 | |
Kyrgyzstan | Logistic Regression | 0.735656 | 0.632479 | 0.586549 | 0.592868 |
KNN | 0.721311 | 0.606199 | 0.571750 | 0.575511 | |
Random Forest | 0.754098 | 0.680889 | 0.565839 | 0.560255 | |
XGBoost | 0.743852 | 0.649783 | 0.602297 | 0.611264 | |
FCNN | 0.750000 | 0.661911 | 0.614108 | 0.624663 | |
Guinea | Logistic Regression | 0.645880 | 0.640829 | 0.643661 | 0.641065 |
KNN | 0.636971 | 0.631348 | 0.633801 | 0.631643 | |
Random Forest | 0.634744 | 0.624379 | 0.623209 | 0.623676 | |
XGBoost | 0.634744 | 0.624379 | 0.623209 | 0.623676 | |
FCNN | 0.654788 | 0.645787 | 0.645574 | 0.645677 |