Table 2.

Summarized scores (Precision, Recall, and F1-score) for validating the three LR models on field-collected samples

	Precision score (%)	Recall score (%)	F1-Score (%)
Classifier 01: trained on high contrast (6%) against 0%
Positive class	84	86	85
Negativeclass	81	79	80
Classifier 02: trained on combined positive (6%, 0.1%, 0.002%, 0.00003%) against 0%
Positive class	58	59	58
Negative class	51	50	50
Classifier 03: trained on lowest parasitaemia (0.00003%) against (0%)
Positive  class	57	58	57
Negative class	57	56	57