From: NetiNeti: discovery of scientific names from text using machine learning methods
ALGORITHM | STOPLIST | PRECISION | RECALL | F-SCORE |
---|---|---|---|---|
Naïve Bayes | Yes | 0.9487 | 0.6897 | 0.7987 |
Naïve Bayes | No | 0.7901 | 0.6877 | 0.7353 |
MaxEnt (IIS) | Yes | 0.9563 | 0.5951 | 0.7336 |
MaxEnt (IIS) | No | 0.8175 | 0.5933 | 0.6875 |
MaxEnt (GIS) | Yes | 0.9541 | 0.6118 | 0.7455 |
MaxEnt (GIS) | No | 0.8151 | 0.6108 | 0.6983 |
MaxEnt (L-BFGS) | Yes | 0.9707 | 0.5481 | 0.7006 |
MaxEnt (L-BFGS) | No | 0.8883 | 0.5410 | 0.6724 |
Decision Tree | Yes | 0.9820 | 0.5969 | 0.7424 |
Decision Tree | No | 0.9793 | 0.5882 | 0.7349 |