Table 1 Offered classifiers with corresponding parameter ranges
From: SPiCE: a web-based tool for sequence-based protein classification and exploration
Classifier | Parameter optimization grid |
|---|---|
SVM (linear kernel) | C=10−3,10−2,…,103 |
SVM (RBF kernel) | C=10−1,100,101 |
|  | α=10−1,100,101 |
k-neighbors (unif.1) | k=1,2,…,5,10,20,…,50,100 |
k-neighbors (dist.2) | k=1,2,…,5,10,20,…,50,100 |
Nearest centroid | r=1,2,…,10 |
LDA3 classifier | - |
QDA4 classifier | - |
Gaussian Naive Bayes | - |
Decision tree | Default scikit-learn parameters |
Random forest | Default scikit-learn parameters |