Ensemble-Based Machine Learning for Predicting Sudden Human Fall Using Health Data

Table 2

Performance scores for all algorithms.

Model	Precision	Recall	F1-score	Accuracy (%)
Logistic regression	0.583	0.059	0.107	76.84
Decision tree classifier	0.642	0.637	0.64	83.83
Random forest classifier	0.747	0.573	0.649	84.03
K-Nearest Neighbour (KNN)	0.7	0.663	0.681	85.62
Support vector machines (SVM)	0.775	0.316	0.449	81.43
Naïve Bayes classifier	0.388	0.109	0.170	72.85
Majority voting	0.722	0.702	0.712	87.42