Table 3

Precision and recall values for naïve bayes, maximum entropy (iis, gis, l-bfgs) and decision tree learning algorithms on the american seashells book
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

Akella et al.

Akella et al. BMC Bioinformatics 2012 13:211   doi:10.1186/1471-2105-13-211

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