Performances of 10-fold cross-validation test based on the AMP training dataset
| Sequence identity . | Sensitivity . | Specificity . | Accuracy . | MCC . | AUC . |
|---|---|---|---|---|---|
| 40% | 0.5065 (|$\pm$|0.0648) | 0.9929 (|$\pm$|0.0032) | 0.7497 (|$\pm$|0.0309) | 0.6312 (|$\pm$|0.0276) | 0.9541 (|$\pm$|0.0070) |
| 50% | 0.8265 (|$\pm$|0.0493) | 0.9874 (|$\pm$|0.0048) | 0.9070 (|$\pm$|0.0227) | 0.8492 (|$\pm$|0.0191) | 0.9841 (|$\pm$|0.0023) |
| 60% | 0.8960 (|$\pm$|0.0145) | 0.9890 (|$\pm$|0.0031) | 0.9425 (|$\pm$|0.0065) | 0.9040 (|$\pm$|0.0085) | 0.9910 (|$\pm$|0.0011) |
| 70% | 0.9034 (|$\pm$|0.0158) | 0.9914 (|$\pm$|0.0026) | 0.9474 (|$\pm$|0.0068) | 0.9147 (|$\pm$|0.0053) | 0.9930 (|$\pm$|0.0012) |
| 80% | 0.8972 (|$\pm$|0.0207) | 0.9942 (|$\pm$|0.0022) | 0.9457 (|$\pm$|0.0094) | 0.9187 (|$\pm$|0.0071) | 0.9941 (|$\pm$|0.0006) |
| 90% | 0.9270 (|$\pm$|0.0122) | 0.9942 (|$\pm$|0.0011) | 0.9606 (|$\pm$|0.0060) | 0.9370 (|$\pm$|0.0075) | 0.9958 (|$\pm$|0.0009) |
| 100% | 0.9409 (|$\pm$|0.0124) | 0.9961 (|$\pm$|0.0021) | 0.9685 (|$\pm$|0.0053) | 0.9518 (|$\pm$|0.0032) | 0.9972 (|$\pm$|0.0003) |
| Sequence identity . | Sensitivity . | Specificity . | Accuracy . | MCC . | AUC . |
|---|---|---|---|---|---|
| 40% | 0.5065 (|$\pm$|0.0648) | 0.9929 (|$\pm$|0.0032) | 0.7497 (|$\pm$|0.0309) | 0.6312 (|$\pm$|0.0276) | 0.9541 (|$\pm$|0.0070) |
| 50% | 0.8265 (|$\pm$|0.0493) | 0.9874 (|$\pm$|0.0048) | 0.9070 (|$\pm$|0.0227) | 0.8492 (|$\pm$|0.0191) | 0.9841 (|$\pm$|0.0023) |
| 60% | 0.8960 (|$\pm$|0.0145) | 0.9890 (|$\pm$|0.0031) | 0.9425 (|$\pm$|0.0065) | 0.9040 (|$\pm$|0.0085) | 0.9910 (|$\pm$|0.0011) |
| 70% | 0.9034 (|$\pm$|0.0158) | 0.9914 (|$\pm$|0.0026) | 0.9474 (|$\pm$|0.0068) | 0.9147 (|$\pm$|0.0053) | 0.9930 (|$\pm$|0.0012) |
| 80% | 0.8972 (|$\pm$|0.0207) | 0.9942 (|$\pm$|0.0022) | 0.9457 (|$\pm$|0.0094) | 0.9187 (|$\pm$|0.0071) | 0.9941 (|$\pm$|0.0006) |
| 90% | 0.9270 (|$\pm$|0.0122) | 0.9942 (|$\pm$|0.0011) | 0.9606 (|$\pm$|0.0060) | 0.9370 (|$\pm$|0.0075) | 0.9958 (|$\pm$|0.0009) |
| 100% | 0.9409 (|$\pm$|0.0124) | 0.9961 (|$\pm$|0.0021) | 0.9685 (|$\pm$|0.0053) | 0.9518 (|$\pm$|0.0032) | 0.9972 (|$\pm$|0.0003) |
Performances of 10-fold cross-validation test based on the AMP training dataset
| Sequence identity . | Sensitivity . | Specificity . | Accuracy . | MCC . | AUC . |
|---|---|---|---|---|---|
| 40% | 0.5065 (|$\pm$|0.0648) | 0.9929 (|$\pm$|0.0032) | 0.7497 (|$\pm$|0.0309) | 0.6312 (|$\pm$|0.0276) | 0.9541 (|$\pm$|0.0070) |
| 50% | 0.8265 (|$\pm$|0.0493) | 0.9874 (|$\pm$|0.0048) | 0.9070 (|$\pm$|0.0227) | 0.8492 (|$\pm$|0.0191) | 0.9841 (|$\pm$|0.0023) |
| 60% | 0.8960 (|$\pm$|0.0145) | 0.9890 (|$\pm$|0.0031) | 0.9425 (|$\pm$|0.0065) | 0.9040 (|$\pm$|0.0085) | 0.9910 (|$\pm$|0.0011) |
| 70% | 0.9034 (|$\pm$|0.0158) | 0.9914 (|$\pm$|0.0026) | 0.9474 (|$\pm$|0.0068) | 0.9147 (|$\pm$|0.0053) | 0.9930 (|$\pm$|0.0012) |
| 80% | 0.8972 (|$\pm$|0.0207) | 0.9942 (|$\pm$|0.0022) | 0.9457 (|$\pm$|0.0094) | 0.9187 (|$\pm$|0.0071) | 0.9941 (|$\pm$|0.0006) |
| 90% | 0.9270 (|$\pm$|0.0122) | 0.9942 (|$\pm$|0.0011) | 0.9606 (|$\pm$|0.0060) | 0.9370 (|$\pm$|0.0075) | 0.9958 (|$\pm$|0.0009) |
| 100% | 0.9409 (|$\pm$|0.0124) | 0.9961 (|$\pm$|0.0021) | 0.9685 (|$\pm$|0.0053) | 0.9518 (|$\pm$|0.0032) | 0.9972 (|$\pm$|0.0003) |
| Sequence identity . | Sensitivity . | Specificity . | Accuracy . | MCC . | AUC . |
|---|---|---|---|---|---|
| 40% | 0.5065 (|$\pm$|0.0648) | 0.9929 (|$\pm$|0.0032) | 0.7497 (|$\pm$|0.0309) | 0.6312 (|$\pm$|0.0276) | 0.9541 (|$\pm$|0.0070) |
| 50% | 0.8265 (|$\pm$|0.0493) | 0.9874 (|$\pm$|0.0048) | 0.9070 (|$\pm$|0.0227) | 0.8492 (|$\pm$|0.0191) | 0.9841 (|$\pm$|0.0023) |
| 60% | 0.8960 (|$\pm$|0.0145) | 0.9890 (|$\pm$|0.0031) | 0.9425 (|$\pm$|0.0065) | 0.9040 (|$\pm$|0.0085) | 0.9910 (|$\pm$|0.0011) |
| 70% | 0.9034 (|$\pm$|0.0158) | 0.9914 (|$\pm$|0.0026) | 0.9474 (|$\pm$|0.0068) | 0.9147 (|$\pm$|0.0053) | 0.9930 (|$\pm$|0.0012) |
| 80% | 0.8972 (|$\pm$|0.0207) | 0.9942 (|$\pm$|0.0022) | 0.9457 (|$\pm$|0.0094) | 0.9187 (|$\pm$|0.0071) | 0.9941 (|$\pm$|0.0006) |
| 90% | 0.9270 (|$\pm$|0.0122) | 0.9942 (|$\pm$|0.0011) | 0.9606 (|$\pm$|0.0060) | 0.9370 (|$\pm$|0.0075) | 0.9958 (|$\pm$|0.0009) |
| 100% | 0.9409 (|$\pm$|0.0124) | 0.9961 (|$\pm$|0.0021) | 0.9685 (|$\pm$|0.0053) | 0.9518 (|$\pm$|0.0032) | 0.9972 (|$\pm$|0.0003) |
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