## 4 Discussion
The highest sensitivity value was obtained with the J48 algorithm (72.9%), and it was reported that physical activity was an essential factor in the prediction of obesity, but factors such as gender, age, and race were less important [46]. The model developed in the current study outperformed the related studies described above in predicting obesity, and similarly, we found physical activity to be among the top five risk factors for obesity levels, as reported in similar clinical research [47, 48]. In a study with similar results in the literature, conducted by [PERSON] et al. [6, 49], the prevalence of overweight and obesity was exceptionally high in North America, Great Britain, and Southwest European countries. In most countries, physical activity levels were lower in overweight youth compared to normal weight youth, and obesity was associated with physical activity levels [49]. In another study, relative childhood weight was associated with slightly higher physical activity levels [50]. Among Malaysian children with Autism Spectrum Disorder, low physical activity, low probability of food refusal, and high probability of food selectivity were found to be risk factors for body mass index [51]. Evidence for the causes of obesity indicates a causal role of sedentary behavior [52]. A sedentary lifestyle doubles the risk of being overweight among schoolchildren [53]. Physical activity and a sedentary lifestyle are among the most critical behavioral determinants of overweight and obesity in children and adolescents [54]. Obese children have lower physical activity levels than non-obese children [9]. The effectiveness of physical activity in preventing obesity can probably be explained by preventing fat accumulation in the body by accelerating calorie burning. Studies have investigated whether BMI and/or body fatness are related to physical activity in bouts of under 10 min [55, 56, 57, 58]. Indeed, one of the experimental studies was conducted by [PERSON] et al., and the results showed that multiple runs equivalent to 30 min per day (i.e., three sessions of 10 min) over eight weeks improved high-density lipoprotein (HDL) in young men [59]. Our findings and other research in the literature show that physical activity is associated with obesity, and as a result of this, physical activity is an important tool for preventing and reducing body fat. In the current study, physical activity levels and certain dietary habits (such as consuming high-calorie foods and frequency of vegetable consumption) were among the most important risk factors for obesity level estimation. In another study confirming the results of the present study, the most important determinants of obesity were identified as eating habits for adolescents [60]. Lack of physical exercise and time spent engaged in sedentary activities have been found to be predictors of obesity for young and middle-aged adults [60]. In one study, a generalized prediction equation model showed that slower eating prevents the development of obesity [61]. In another study, regular eating habits were an essential parameter in preventing obesity [53]. Among the most critical behavioral determinants of overweight and obesity in children and adolescents is excessive consumption of energy-dense foods [54]. Obese children have higher levels of food addiction than non-obese children [9]. The reason why eating habits can lead to being obese or overweight may be that diets contain more and more high-calorie and, at the same time, high-fat foods, leading to a significant accumulation of fat in the body. This study has some limitations. Obesity has a complex structure. It is expected that more factors, such as blood values or the presence of diabetes, will need to be considered in order to obtain a more reliable estimate. There are also many biomarkers for obesity; microRNA, adipocytes, oxidative stress, blood cell profile, nutrients, and microbiota are promising biomarkers for determining the occurrence of obesity.