Table 3 Multi-label classification. Annotated data results with SCOVACLIS Score (\(SCOVACLIS_s\)) and removing stop-ngrams (\(SCOVACLIS_s\)—stop ngrams)
From: Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish
Classifier | Word representation | P (%) | R (%) | F1 (%) |
|---|---|---|---|---|
Random forest | TF-IDF | 71.7 | 25.1 | 38.4 |
Decision tree | TF-IDF | 47.9 | 38.1 | 42.4 |
KNeighbors | TF-IDF | 63.3 | 39.0 | 48.2 |
MLP | TF-IDF | 75.1 | 53.3 | 59.3 |
Random forest | TF-IDF + \(SCOVACLIS_s\) | 70.0 | 17.5 | 28.7 |
Decision tree | TF-IDF + \(SCOVACLIS_s\) | 46.2 | 43.5 | 44.8 |
KNeighbors | TF-IDF + \(SCOVACLIS_s\) | 69.3 | 42.6 | 52.7 |
MLP | TF-IDF + \(SCOVACLIS_s\) | 74.7 | 57.4 | 64.9 |
Random forest | \(SCOVACLIS_s\) | 76.0 | 32.6 | 45.6 |
Decision tree | \(SCOVACLIS_s\) | 42.6 | 43.1 | 42.8 |
KNeighbors | \(SCOVACLIS_s\) | 69.4 | 42.1 | 52.4 |
MLP | \(SCOVACLIS_s\) | 75.8 | 43.5 | 55.3 |
Random forest | TF-IDF + \(SCOVACLIS_s\)—stop ngrams | 70.3 | 18.9 | 30.6 |
Decision tree | TF-IDF + \(SCOVACLIS_s\)—stop ngrams | 46.4 | 43.9 | 45.1 |
KNeighbors | TF-IDF + \(SCOVACLIS_s\)—stop ngrams | 68.9 | 42.7 | 52.7 |
MLP | TF-IDF + \(SCOVACLIS_s\)—stop ngrams | 77.5 | 57.7 | 65.2 |
Random forest | \(SCOVACLIS_s\)—stop ngrams | 76.8 | 32.6 | 45.8 |
Decision tree | \(SCOVACLIS_s\)—stop ngrams | 43.1 | 43.1 | 43.1 |
KNeighbors | \(SCOVACLIS_s\)—stop ngrams | 68.9 | 42.7 | 52.7 |
MLP | \(SCOVACLIS_s\)—stop ngrams | 75.6 | 43.5 | 55.4 |