AcconPred: Predicting Solvent Accessibility and Contact Number Simultaneously by a Multitask Learning Framework under the Conditional Neural Fields Model

Table 2

Prediction accuracy of different feature class and learning model for 3-state solvent accessibility.

Features	Evolution	Structure	Amino acid	^†Combined single	^‡Combined MTL
Q3 accuracy	0.64	0.59	0.55	0.66	0.68

Combined single indicates that all classes of features, including evolution, structure, and amino acid, are used for training a single task model.
^‡Combined MTL indicates that all classes of features are used for training a multitask learning model.