PMC:7796058 / 76046-77041 JSON TXT

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Id	Subject	Object	Predicate	Lexical cue
T587	0-84	Sentence	denotes	Table 4 Evaluation Metrics for Evaluating the Video-Based Risky Behavior Detection.
T588	85-128	Sentence	denotes	Evaluation Measures Equations Description
T589	129-323	Sentence	denotes	Precision Precision=1n ∑j\|Rj ∩Mj \|\|Rj\| (3) This is defined as the ratio of the total number of items appearing in both Rj and Mj to the total number of Rj [66]. n is the total number of users.
T590	324-402	Sentence	denotes	A higher value for the Precision means better performance and higher accuracy.
T591	403-567	Sentence	denotes	Recall Recall=1n ∑j\|Rj ∩Mj \|\|Mj\| (4) The Recall measure is defined as the ratio of the total number of items appearing in both Rj and Mj to the number of Mj [66].
T592	568-708	Sentence	denotes	Similarly, to the Precision measure, a higher value for Recall means a better performance and higher accuracy for the recommender algorithm.
T593	709-874	Sentence	denotes	F-Score F Score = 2(Recall Precision)/(Recall + Precision) (5) The F-score combines both the precision and recall into one metric that captures both properties.
T594	875-943	Sentence	denotes	In other words, it is the weighted average for precision and recall.
T595	944-995	Sentence	denotes	This metric gives an overview of the model results.