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Table 1.

Multiple linear regression analysis for feature extraction.

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Fig 1.

Box plots of the significant variables evaluated.

(a) Archery shooting score.; (b) Vertical Jump; (c) Core Muscle Strength.

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Table 2.

The inferential analysis of the pairwise comparison between the HPA and LPA.

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Fig 2.

Confusion matrix.

(a) Fine; (b) Medium; (c) Coarse; (d) Cosine; (e) Cubic; (f) Weighted; (g) Logistic Regression.

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Table 3.

The performance evaluation of the variation of k-NN algorithms and logistic regression.

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Table 3 Expand

Table 4.

Classification efficacy of the developed models against fresh data.

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Table 4 Expand