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. 2020 Nov 5;10:19128. doi: 10.1038/s41598-020-76129-8

Table 6.

Performance of best four combinations of feature selection and classification methods.

Feature selection method Prediction method nfold mse roc_auc roc_auc_prob Accuracy f1_score Precision_score Recall_score Sensitivity Specificity mcc
Mann_Whitney RandomForest Validation 0.088235 0.911765 0.932526 0.911765 0.911458 0.917544 0.911765 0.852941 0.970588 0.829288
Mann_Whitney RandomForest 9 0.092593 0.85119 0.962302 0.907407 0.905939 0.905332 0.907407 0.75 0.952381 0.725032
Mann_Whitney RandomForest 8 0.092593 0.880952 0.906746 0.907407 0.908701 0.910778 0.907407 0.833333 0.928571 0.740888
Mann_Whitney RandomForest 7 0.203704 0.660714 0.878968 0.796296 0.785258 0.780247 0.796296 0.416667 0.904762 0.358569
Mann_Whitney RandomForest 6 0.425926 0.39881 0.420635 0.574074 0.580027 0.5862 0.574074 0.083333 0.714286 − 0.1968
Mann_Whitney RandomForest 5 0.185185 0.791667 0.801587 0.814815 0.823413 0.841374 0.814815 0.75 0.833333 0.531105
Mann_Whitney RandomForest 4 0.203704 0.720238 0.861111 0.796296 0.799143 0.802585 0.796296 0.583333 0.857143 0.428326
Mann_Whitney RandomForest 3 0.203704 0.720238 0.869048 0.796296 0.799143 0.802585 0.796296 0.583333 0.857143 0.428326
Mann_Whitney RandomForest 2 0.148148 0.785714 0.944444 0.851852 0.851852 0.851852 0.851852 0.666667 0.904762 0.571429
Mann_Whitney RandomForest 1 0.212121 0.67451 0.69281 0.787879 0.782343 0.778467 0.787879 0.466667 0.882353 0.367765
Mann_Whitney RandomForest 0 0.106061 0.813725 0.899346 0.893939 0.889562 0.890572 0.893939 0.666667 0.960784 0.681747
Mann_Whitney SVM Validation 0.102941 0.897059 0.943772 0.897059 0.897037 0.897403 0.897059 0.882353 0.911765 0.794461
Mann_Whitney SVM 9 0.111111 0.839286 0.968254 0.888889 0.888889 0.888889 0.888889 0.75 0.928571 0.678571
Mann_Whitney SVM 8 0.092593 0.910714 0.94246 0.907407 0.910837 0.920798 0.907407 0.916667 0.904762 0.762443
Mann_Whitney SVM 7 0.203704 0.660714 0.763889 0.796296 0.785258 0.780247 0.796296 0.416667 0.904762 0.358569
Mann_Whitney SVM 6 0.481481 0.363095 0.363095 0.518519 0.540873 0.56652 0.518519 0.083333 0.642857 − 0.24929
Mann_Whitney SVM 5 0.166667 0.803571 0.765873 0.833333 0.839506 0.851282 0.833333 0.75 0.857143 0.563545
Mann_Whitney SVM 4 0.222222 0.708333 0.795635 0.777778 0.783615 0.791667 0.777778 0.583333 0.833333 0.395285
Mann_Whitney SVM 3 0.203704 0.779762 0.847222 0.796296 0.807411 0.832362 0.796296 0.75 0.809524 0.500851
Mann_Whitney SVM 2 0.166667 0.803571 0.911706 0.833333 0.839506 0.851282 0.833333 0.75 0.857143 0.563545
Mann_Whitney SVM 1 0.227273 0.688235 0.74902 0.772727 0.775268 0.778182 0.772727 0.533333 0.843137 0.368143
Mann_Whitney SVM 0 0.151515 0.807843 0.887582 0.848485 0.851705 0.856706 0.848485 0.733333 0.882353 0.590021
DCor RandomForest Validation 0.102941 0.897059 0.916955 0.897059 0.896499 0.905836 0.897059 0.823529 0.970588 0.802846
DCor RandomForest 9 0.111111 0.809524 0.958333 0.888889 0.88513 0.884848 0.888889 0.666667 0.952381 0.662541
DCor RandomForest 8 0.092593 0.880952 0.886905 0.907407 0.908701 0.910778 0.907407 0.833333 0.928571 0.740888
DCor RandomForest 7 0.203704 0.660714 0.857143 0.796296 0.785258 0.780247 0.796296 0.416667 0.904762 0.358569
DCor RandomForest 6 0.425926 0.39881 0.380952 0.574074 0.580027 0.5862 0.574074 0.083333 0.714286 − 0.1968
DCor RandomForest 5 0.185185 0.791667 0.791667 0.814815 0.823413 0.841374 0.814815 0.75 0.833333 0.531105
DCor RandomForest 4 0.203704 0.720238 0.865079 0.796296 0.799143 0.802585 0.796296 0.583333 0.857143 0.428326
DCor RandomForest 3 0.203704 0.720238 0.875 0.796296 0.799143 0.802585 0.796296 0.583333 0.857143 0.428326
DCor RandomForest 2 0.148148 0.785714 0.938492 0.851852 0.851852 0.851852 0.851852 0.666667 0.904762 0.571429
DCor RandomForest 1 0.212121 0.65098 0.696732 0.787879 0.775564 0.770248 0.787879 0.4 0.901961 0.33955
DCor RandomForest 0 0.106061 0.790196 0.917647 0.893939 0.885811 0.894481 0.893939 0.6 0.980392 0.678357
Boruta RandomForest Validation 0.102941 0.897059 0.933391 0.897059 0.895956 0.914634 0.897059 0.794118 1 0.811503
Boruta RandomForest 9 0.092593 0.880952 0.954365 0.907407 0.908701 0.910778 0.907407 0.833333 0.928571 0.740888
Boruta RandomForest 8 0.111111 0.839286 0.865079 0.888889 0.888889 0.888889 0.888889 0.75 0.928571 0.678571
Boruta RandomForest 7 0.203704 0.660714 0.855159 0.796296 0.785258 0.780247 0.796296 0.416667 0.904762 0.358569
Boruta RandomForest 6 0.407407 0.410714 0.605159 0.592593 0.592593 0.592593 0.592593 0.083333 0.738095 − 0.17857
Boruta RandomForest 5 0.185185 0.791667 0.865079 0.814815 0.823413 0.841374 0.814815 0.75 0.833333 0.531105
Boruta RandomForest 4 0.148148 0.815476 0.863095 0.851852 0.855743 0.862302 0.851852 0.75 0.880952 0.598574
Boruta RandomForest 3 0.12963 0.857143 0.934524 0.87037 0.875171 0.88604 0.87037 0.833333 0.880952 0.662994
Boruta RandomForest 2 0.092593 0.910714 0.950397 0.907407 0.910837 0.920798 0.907407 0.916667 0.904762 0.762443
Boruta RandomForest 1 0.19697 0.707843 0.866667 0.80303 0.80059 0.798576 0.80303 0.533333 0.882353 0.426119
Boruta RandomForest 0 0.090909 0.823529 0.895425 0.909091 0.903813 0.909091 0.909091 0.666667 0.980392 0.727607