Table 4 Parameters and Hyperparameter settings of ML models.
From: DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus
Models | Parameters | Hyperparameters |
|---|---|---|
RF | Average tree depth: 7.94 | n\(\_\)estimators: 300, max\(\_\)depth: 300, min\(\_\)samples\(\_\)leaf: 1 |
GBM | Average tree depth: 10.93 | n\(\_\)estimators: 500, max\(\_\)depth: 300, learning\(\_\)rate: 0.05, random\(\_\)state: 100, max\(\_\)features: 5 |
SVM | Number of Support Vectors for each class: [89 86], Bias(b): 0.15887355 | kernel: rbf, c: 2.0, gamma: scale |
KNN | Â | n\(\_\)neighbors: 2, metric: minkowski, weights: uniform |
