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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

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