A Fruit Tree Disease Diagnosis Model Based on Stacking Ensemble Learning

Table 7

Test results of classifiers in the stacking ensemble diagnosis model.

Classifiers	Type		R	f1_score	Time (Mins.)
K-nearest neighbors [28]	Primary	0.9362	0.9496	0.9429	20.6
Logistic regression [29]	Primary	0.8503	0.9124	0.8803	18.2
Support vector classifier [30]	Primary	0.9444	0.8947	0.9189	24.5
Naive Bayesian [31]	Primary	0.9213	0.9286	0.9249	23.7
Random forest	Secondary	0.9786	0.9825	0.9805	30.3