From: LPInsider: a webserver for lncRNA–protein interaction extraction from the literature
Features | Classifier | Accuracy | Precision | Recall | f1-score |
---|---|---|---|---|---|
Semantic word vector | LGBM | 0.84920 | 0.86992 | 0.83037 | 0.84754 |
SVM | 0.85534 | 0.95127 | 0.75734 | 0.84071 | |
Logistic regression | 0.88379 | 0.91635 | 0.85157 | 0.88140 | |
Random forest | 0.81373 | 0.84939 | 0.77344 | 0.80728 | |
Xgboost | 0.86683 | 0.87700 | 0.85637 | 0.86522 | |
Semantic word vectors and syntactic structure vectors | LGBM | 0.85659 | 0.88094 | 0.83152 | 0.85391 |
SVM | 0.88173 | 0.94727 | 0.81453 | 0.87453 | |
Logistic regression | 0.89657 | 0.92684 | 0.86788 | 0.89485 | |
Random forest | 0.82158 | 0.86687 | 0.76823 | 0.81217 | |
Xgboost | 0.87882 | 0.89386 | 0.86452 | 0.87787 | |
Semantic word vectors, syntactic structure vectors and distance vectors | LGBM | 0.87476 | 0.89739 | 0.85298 | 0.87276 |
SVM | 0.89080 | 0.95013 | 0.83035 | 0.88486 | |
Logistic regression | 0.90028 | 0.93218 | 0.86952 | 0.89838 | |
Random forest | 0.82360 | 0.86757 | 0.77133 | 0.81454 | |
Xgboost | 0.88382 | 0.90279 | 0.86435 | 0.88169 | |
Semantic wordvector, syntactic structurevector, distance vector and part of speech vector | LGBM | 0.89205 | 0.91488 | 0.87007 | 0.89046 |
SVM | 0.91719 | 0.95286 | 0.88221 | 0.91513 | |
Logistic regression | 0.91758 | 0.93304 | 0.90380 | 0.91722 | |
Random forest | 0.84216 | 0.87469 | 0.80599 | 0.83753 | |
Xgboost | 0.89164 | 0.91930 | 0.86366 | 0.88926 |