Open access
Jul 2026
ANALISIS KOMPARATIF MODEL KLASIFIKASI KEBUGARAN DAN EVALUASI REGRESI PREDIKSI KALORI DAN CHATBOT PADA EKOSISTEM FITTRACK AI
A comparative analysis of fitness level classification modeling and predictive calorie regression evaluation into a unified health tracking ecosystem called FitTrack AI shows that XGBoost is the best classification model, with an accuracy rate of 76.37%, outperforming other algorithms.
Putra Hikmah Febryan, Eka Asa Setyaning Pratiwi, Asif Faroqi et al.
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