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. 2018 Jun 6;15(6):797–806. doi: 10.1080/15476286.2018.1457935

Table 1.

The prediction results of SVM, RF and XGB by Pse-in-One feature combinations in NPTest1.

Algorithm LncRNA feature Protein feature AUC ACC REC SPEC PPV F1 score
SVM Kmer Kmer 0.9540 0.9229 0.9750 0.8703 0.8837 0.9271
SVM Kmer AC 0.9523 0.9227 0.9750 0.8699 0.8834 0.9269
SVM Kmer PC-PseAAC-General 0.9574 0.9268 0.9669 0.8862 0.8958 0.9300
SVM DAC Kmer 0.9572 0.9229 0.9775 0.8677 0.8820 0.9273
SVM DAC AC 0.9565 0.9209 0.9698 0.8714 0.8841 0.9250
SVM DAC PC-PseAAC-General 0.9595 0.9188 0.9504 0.8870 0.8948 0.9217
SVM PC-PseDNC-General Kmer 0.9565 0.9222 0.9735 0.8703 0.8836 0.9264
SVM PC-PseDNC-General AC 0.9541 0.9222 0.9739 0.8699 0.8833 0.9264
SVM PC-PseDNC-General PC-PseAAC-General 0.9573 0.9249 0.9617 0.8877 0.8965 0.9280
RF Kmer Kmer 0.9630 0.9222 0.9750 0.8688 0.8826 0.9265
RF Kmer AC 0.9613 0.9214 0.9750 0.8673 0.8814 0.9258
RF Kmer PC-PseAAC-General 0.9678 0.9264 0.9709 0.8814 0.8923 0.9299
RF DAC Kmer 0.9649 0.9261 0.9753 0.8762 0.8885 0.9299
RF DAC AC 0.9629 0.9242 0.9775 0.8703 0.8840 0.9284
RF DAC PC-PseAAC-General 0.9671 0.9266 0.9717 0.8810 0.8920 0.9301
RF PC-PseDNC-General Kmer 0.9634 0.9224 0.9739 0.8703 0.8836 0.9265
RF PC-PseDNC-General AC 0.9612 0.9218 0.9757 0.8673 0.8815 0.9262
RF PC-PseDNC-General PC-PseAAC-General 0.9682 0.9273 0.9720 0.8821 0.8930 0.9308
XGB Kmer Kmer 0.9670 0.9285 0.9654 0.8911 0.8996 0.9314
XGB Kmer AC 0.9657 0.9262 0.9665 0.8855 0.8952 0.9295
XGB Kmer PC-PseAAC-General 0.9654 0.9275 0.9654 0.8892 0.8981 0.9305
XGB DAC Kmer 0.9669 0.9285 0.9735 0.8829 0.8937 0.9319
XGB DAC AC 0.9664 0.9266 0.9709 0.8818 0.8926 0.9301
XGB DAC PC-PseAAC-General 0.9685 0.9294 0.9742 0.8840 0.8947 0.9328
XGB PC-PseDNC-General Kmer 0.9674 0.9285 0.9654 0.8911 0.8996 0.9314
XGB PC-PseDNC-General AC 0.9660 0.9268 0.9617 0.8914 0.8996 0.9296
XGB PC-PseDNC-General PC-PseAAC-General 0.9688 0.9288 0.9647 0.8926 0.9008 0.9317