From: Predicting anatomic therapeutic chemical classification codes using tiered learning
4th level ATC Code Prediction using different initializations and comparison to STP | ||||||||
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Initialization method | Supervised learning | SuperPred | ChEMBL (Perfect 1st level) | STP | ||||
Prediction method | A(4) | CA(4) (N(4)) | A(4) | CA(4) (N(4)) | A(4) | CA(4) (N(4)) | A(4) | CA(4) (N(4)) |
MLP | 48.57% | 63.75% (37.81%) | 48.57% | 65.14% (37.09%) | 50.90% | 75.58% (41.93%) | 51.61% | 67.97% (40.32) |
Naive Bayes | 36.92% | 47.45% (19.35%) | 45.70% | 62.59% (29.03%) | 46.77% | 70.30% (32.80%) | 38.35% | 55.20% (22.76%) |
Random Forest | 40.68% | 57.12% (29.93%) | 47.49% | 63.66% (33.87%) | 50.36% | 74.24% (38.53%) | 39.43% | 61.20% (28.49%) |
SVM | 50.18% | 63.53% (40.68%) | 56.09% | 68.50% (45.34%) | 56.81% | 78.90% (49.64%) | 41.22% | 65.37% (41.22%) |