Performance metrics of the set of highest, lowest, and median classification performers for each data set sample variant in their respective final Pareto front for the binary label implementation.
| Best classification performers . | ||||||
|---|---|---|---|---|---|---|
| Data set . | Imputation fitness . | Accuracy . | Precision . | Recall . | |$F_1$| score . | ROC-AUC . |
| Full data set | 0.0877 | |$0.9629 \pm 0.0115$| | |$0.947 \pm 0.0224$| | |$0.8455 \pm 0.0494$| | |$0.8929 \pm 0.0347$| | |$0.9174 \pm 0.026$| |
| Giant stars omitted | 0.2877 | |$0.9861 \pm 0.0034$| | |$0.9737 \pm 0.0164$| | |$0.9505 \pm 0.0138$| | |$0.9618 \pm 0.0094$| | |$0.9723 \pm 0.0067$| |
| Low-mass stars omitted | 0.0891 | |$0.9815 \pm 0.0046$| | |$0.957 \pm 0.0163$| | |$0.9425 \pm 0.0253$| | |$0.9494 \pm 0.0129$| | |$0.9664 \pm 0.0121$| |
| Intermediary stars | 0.7787 | |$0.9806 \pm 0.0049$| | |$0.9723 \pm 0.0179$| | |$0.9212 \pm 0.0187$| | |$0.9459 \pm 0.014$| | |$0.9576 \pm 0.0098$| |
| Worst classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.5971 | |$0.8871 \pm 0.0123$| | |$0.8063 \pm 0.0372$| | |$0.5085 \pm 0.0647$| | |$0.6217 \pm 0.0538$| | |$0.7405 \pm 0.0321$| |
| Giant stars omitted | 0.8598 | |$0.8616 \pm 0.0079$| | |$0.7581 \pm 0.0505$| | |$0.3679 \pm 0.0474$| | |$0.4929 \pm 0.0441$| | |$0.6704 \pm 0.0219$| |
| Low-mass stars omitted | 0.7906 | |$0.9102 \pm 0.0108$| | |$0.7843 \pm 0.0459$| | |$0.7109 \pm 0.0379$| | |$0.7446 \pm 0.029$| | |$0.8331 \pm 0.0187$| |
| Intermediary stars | 0.8594 | |$0.8754 \pm 0.0164$| | |$0.772 \pm 0.0683$| | |$0.4603 \pm 0.0642$| | |$0.5748 \pm 0.0615$| | |$0.7147 \pm 0.0337$| |
| Median classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.4477 | |$0.934 \pm 0.0083$| | |$0.8952 \pm 0.0367$| | |$0.7279 \pm 0.0329$| | |$0.8022 \pm 0.0251$| | |$0.8542 \pm 0.0165$| |
| Giant stars omitted | 0.7656 | |$0.975 \pm 0.0054$| | |$0.9532 \pm 0.0167$| | |$0.9092 \pm 0.0237$| | |$0.9305 \pm 0.0154$| | |$0.9495 \pm 0.012$| |
| Low-mass stars omitted | 0.5300 | |$0.9739 \pm 0.0079$| | |$0.9561 \pm 0.0202$| | |$0.8998 \pm 0.0366$| | |$0.9267 \pm 0.0231$| | |$0.9452 \pm 0.0186$| |
| Intermediary stars | 0.8125 | |$0.9374 \pm 0.0098$| | |$0.9163 \pm 0.0321$| | |$0.7274 \pm 0.0498$| | |$0.8098 \pm 0.0331$| | |$0.8561 \pm 0.0244$| |
| Best classification performers . | ||||||
|---|---|---|---|---|---|---|
| Data set . | Imputation fitness . | Accuracy . | Precision . | Recall . | |$F_1$| score . | ROC-AUC . |
| Full data set | 0.0877 | |$0.9629 \pm 0.0115$| | |$0.947 \pm 0.0224$| | |$0.8455 \pm 0.0494$| | |$0.8929 \pm 0.0347$| | |$0.9174 \pm 0.026$| |
| Giant stars omitted | 0.2877 | |$0.9861 \pm 0.0034$| | |$0.9737 \pm 0.0164$| | |$0.9505 \pm 0.0138$| | |$0.9618 \pm 0.0094$| | |$0.9723 \pm 0.0067$| |
| Low-mass stars omitted | 0.0891 | |$0.9815 \pm 0.0046$| | |$0.957 \pm 0.0163$| | |$0.9425 \pm 0.0253$| | |$0.9494 \pm 0.0129$| | |$0.9664 \pm 0.0121$| |
| Intermediary stars | 0.7787 | |$0.9806 \pm 0.0049$| | |$0.9723 \pm 0.0179$| | |$0.9212 \pm 0.0187$| | |$0.9459 \pm 0.014$| | |$0.9576 \pm 0.0098$| |
| Worst classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.5971 | |$0.8871 \pm 0.0123$| | |$0.8063 \pm 0.0372$| | |$0.5085 \pm 0.0647$| | |$0.6217 \pm 0.0538$| | |$0.7405 \pm 0.0321$| |
| Giant stars omitted | 0.8598 | |$0.8616 \pm 0.0079$| | |$0.7581 \pm 0.0505$| | |$0.3679 \pm 0.0474$| | |$0.4929 \pm 0.0441$| | |$0.6704 \pm 0.0219$| |
| Low-mass stars omitted | 0.7906 | |$0.9102 \pm 0.0108$| | |$0.7843 \pm 0.0459$| | |$0.7109 \pm 0.0379$| | |$0.7446 \pm 0.029$| | |$0.8331 \pm 0.0187$| |
| Intermediary stars | 0.8594 | |$0.8754 \pm 0.0164$| | |$0.772 \pm 0.0683$| | |$0.4603 \pm 0.0642$| | |$0.5748 \pm 0.0615$| | |$0.7147 \pm 0.0337$| |
| Median classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.4477 | |$0.934 \pm 0.0083$| | |$0.8952 \pm 0.0367$| | |$0.7279 \pm 0.0329$| | |$0.8022 \pm 0.0251$| | |$0.8542 \pm 0.0165$| |
| Giant stars omitted | 0.7656 | |$0.975 \pm 0.0054$| | |$0.9532 \pm 0.0167$| | |$0.9092 \pm 0.0237$| | |$0.9305 \pm 0.0154$| | |$0.9495 \pm 0.012$| |
| Low-mass stars omitted | 0.5300 | |$0.9739 \pm 0.0079$| | |$0.9561 \pm 0.0202$| | |$0.8998 \pm 0.0366$| | |$0.9267 \pm 0.0231$| | |$0.9452 \pm 0.0186$| |
| Intermediary stars | 0.8125 | |$0.9374 \pm 0.0098$| | |$0.9163 \pm 0.0321$| | |$0.7274 \pm 0.0498$| | |$0.8098 \pm 0.0331$| | |$0.8561 \pm 0.0244$| |
Performance metrics of the set of highest, lowest, and median classification performers for each data set sample variant in their respective final Pareto front for the binary label implementation.
| Best classification performers . | ||||||
|---|---|---|---|---|---|---|
| Data set . | Imputation fitness . | Accuracy . | Precision . | Recall . | |$F_1$| score . | ROC-AUC . |
| Full data set | 0.0877 | |$0.9629 \pm 0.0115$| | |$0.947 \pm 0.0224$| | |$0.8455 \pm 0.0494$| | |$0.8929 \pm 0.0347$| | |$0.9174 \pm 0.026$| |
| Giant stars omitted | 0.2877 | |$0.9861 \pm 0.0034$| | |$0.9737 \pm 0.0164$| | |$0.9505 \pm 0.0138$| | |$0.9618 \pm 0.0094$| | |$0.9723 \pm 0.0067$| |
| Low-mass stars omitted | 0.0891 | |$0.9815 \pm 0.0046$| | |$0.957 \pm 0.0163$| | |$0.9425 \pm 0.0253$| | |$0.9494 \pm 0.0129$| | |$0.9664 \pm 0.0121$| |
| Intermediary stars | 0.7787 | |$0.9806 \pm 0.0049$| | |$0.9723 \pm 0.0179$| | |$0.9212 \pm 0.0187$| | |$0.9459 \pm 0.014$| | |$0.9576 \pm 0.0098$| |
| Worst classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.5971 | |$0.8871 \pm 0.0123$| | |$0.8063 \pm 0.0372$| | |$0.5085 \pm 0.0647$| | |$0.6217 \pm 0.0538$| | |$0.7405 \pm 0.0321$| |
| Giant stars omitted | 0.8598 | |$0.8616 \pm 0.0079$| | |$0.7581 \pm 0.0505$| | |$0.3679 \pm 0.0474$| | |$0.4929 \pm 0.0441$| | |$0.6704 \pm 0.0219$| |
| Low-mass stars omitted | 0.7906 | |$0.9102 \pm 0.0108$| | |$0.7843 \pm 0.0459$| | |$0.7109 \pm 0.0379$| | |$0.7446 \pm 0.029$| | |$0.8331 \pm 0.0187$| |
| Intermediary stars | 0.8594 | |$0.8754 \pm 0.0164$| | |$0.772 \pm 0.0683$| | |$0.4603 \pm 0.0642$| | |$0.5748 \pm 0.0615$| | |$0.7147 \pm 0.0337$| |
| Median classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.4477 | |$0.934 \pm 0.0083$| | |$0.8952 \pm 0.0367$| | |$0.7279 \pm 0.0329$| | |$0.8022 \pm 0.0251$| | |$0.8542 \pm 0.0165$| |
| Giant stars omitted | 0.7656 | |$0.975 \pm 0.0054$| | |$0.9532 \pm 0.0167$| | |$0.9092 \pm 0.0237$| | |$0.9305 \pm 0.0154$| | |$0.9495 \pm 0.012$| |
| Low-mass stars omitted | 0.5300 | |$0.9739 \pm 0.0079$| | |$0.9561 \pm 0.0202$| | |$0.8998 \pm 0.0366$| | |$0.9267 \pm 0.0231$| | |$0.9452 \pm 0.0186$| |
| Intermediary stars | 0.8125 | |$0.9374 \pm 0.0098$| | |$0.9163 \pm 0.0321$| | |$0.7274 \pm 0.0498$| | |$0.8098 \pm 0.0331$| | |$0.8561 \pm 0.0244$| |
| Best classification performers . | ||||||
|---|---|---|---|---|---|---|
| Data set . | Imputation fitness . | Accuracy . | Precision . | Recall . | |$F_1$| score . | ROC-AUC . |
| Full data set | 0.0877 | |$0.9629 \pm 0.0115$| | |$0.947 \pm 0.0224$| | |$0.8455 \pm 0.0494$| | |$0.8929 \pm 0.0347$| | |$0.9174 \pm 0.026$| |
| Giant stars omitted | 0.2877 | |$0.9861 \pm 0.0034$| | |$0.9737 \pm 0.0164$| | |$0.9505 \pm 0.0138$| | |$0.9618 \pm 0.0094$| | |$0.9723 \pm 0.0067$| |
| Low-mass stars omitted | 0.0891 | |$0.9815 \pm 0.0046$| | |$0.957 \pm 0.0163$| | |$0.9425 \pm 0.0253$| | |$0.9494 \pm 0.0129$| | |$0.9664 \pm 0.0121$| |
| Intermediary stars | 0.7787 | |$0.9806 \pm 0.0049$| | |$0.9723 \pm 0.0179$| | |$0.9212 \pm 0.0187$| | |$0.9459 \pm 0.014$| | |$0.9576 \pm 0.0098$| |
| Worst classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.5971 | |$0.8871 \pm 0.0123$| | |$0.8063 \pm 0.0372$| | |$0.5085 \pm 0.0647$| | |$0.6217 \pm 0.0538$| | |$0.7405 \pm 0.0321$| |
| Giant stars omitted | 0.8598 | |$0.8616 \pm 0.0079$| | |$0.7581 \pm 0.0505$| | |$0.3679 \pm 0.0474$| | |$0.4929 \pm 0.0441$| | |$0.6704 \pm 0.0219$| |
| Low-mass stars omitted | 0.7906 | |$0.9102 \pm 0.0108$| | |$0.7843 \pm 0.0459$| | |$0.7109 \pm 0.0379$| | |$0.7446 \pm 0.029$| | |$0.8331 \pm 0.0187$| |
| Intermediary stars | 0.8594 | |$0.8754 \pm 0.0164$| | |$0.772 \pm 0.0683$| | |$0.4603 \pm 0.0642$| | |$0.5748 \pm 0.0615$| | |$0.7147 \pm 0.0337$| |
| Median classification performers | ||||||
| Data set | Imputation fitness | Accuracy | Precision | Recall | |$F_1$| score | ROC-AUC |
| Full data set | 0.4477 | |$0.934 \pm 0.0083$| | |$0.8952 \pm 0.0367$| | |$0.7279 \pm 0.0329$| | |$0.8022 \pm 0.0251$| | |$0.8542 \pm 0.0165$| |
| Giant stars omitted | 0.7656 | |$0.975 \pm 0.0054$| | |$0.9532 \pm 0.0167$| | |$0.9092 \pm 0.0237$| | |$0.9305 \pm 0.0154$| | |$0.9495 \pm 0.012$| |
| Low-mass stars omitted | 0.5300 | |$0.9739 \pm 0.0079$| | |$0.9561 \pm 0.0202$| | |$0.8998 \pm 0.0366$| | |$0.9267 \pm 0.0231$| | |$0.9452 \pm 0.0186$| |
| Intermediary stars | 0.8125 | |$0.9374 \pm 0.0098$| | |$0.9163 \pm 0.0321$| | |$0.7274 \pm 0.0498$| | |$0.8098 \pm 0.0331$| | |$0.8561 \pm 0.0244$| |
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