cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing

Table 3

Grid search setting.

Classifier	Candidate	Parameters
Decision tree	462	{‘max_features’: [‘auto’-‘sqrt’-‘log2’]-‘min_samples_split’: [2-3-4-5-6-7-8-9-10-11-12-13-14-15]-‘min_samples_leaf’: [1-2-3-4-5-6-7-8-9-10-11]-‘random_state’: [123]}
Random forest	288	{‘Bootstrap’: [True]-‘max_depth’: [80-90-100-110]-‘max_features’: [2-3]-‘min_samples_leaf’: [3-4-5]-‘min_samples_split’: [8-10-12]-‘n_estimators’:[100-200-300–1000]}
SVM	14	{‘C’: [6-7-8-9-10-11-12]- ‘kernel’: [‘linear’-‘rbf’]}
Kstar	192	{‘n_neighbors’: [5-6-7-8-9-10]-‘leaf_size’:[1-2-3-5]-‘weights’:[‘uniform’-‘distance’]-‘algorithm’:[‘auto’-‘ball_tree’-‘kd_tree’-‘brute’]-‘n_jobs’:[−1]}
Naive Bayes	—	—
Tpot	Generative model	—