Based on a random forest classification algorithm and MDS analysis, it is found that AA residues can be classified into groups according to similarities in their φ-ψ distributions. A random forest supervised learning model is built to analyze the combinations of the φ-ψ units. It is found ...
The advantages of the random forest algorithm are: (1) it avoids overfitting the data; (2) it gives an estimate of the important variables in the data with respect to the random forest classifier; and (3) it gives an inherent mean prediction error estimate for each training sample by ...
In terms of overall accuracy, that of the improved random forest algorithm is significantly higher than that of the other three algorithms. From the classification precision of each category, the improved random forest has obvious advantages in the classification of ground points. Compared with the ...