[Retracted] IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction

Table 4

Importance of parameters.

	Count	Mean	Std	min	0.25	0.5	0.75	Max
Age	10221	32.9026	11.09011	21.00000	24.00000	29.50000	40.00000	66.00000
Gender	10221	0.50649	0.50158	0.00000	0.00000	1.00000	1.00000	1.00000
family_history	10221	0.29220	0.45626	0.00000	0.00000	0.00000	1.00000	1.00000
physical_activity	10221	1.38311	0.78547	0.00000	1.00000	2.00000	2.00000	2.00000
Regular_intake_of_medicine	10221	0.26623	0.44343	0.00000	0.00000	0.00000	1.00000	1.00000
No_of_pregnancies	10221	1.88311	3.08686	0.00000	0.00000	0.00000	3.00000	14.00000
Smoking	10221	0.07792	0.26892	0.00000	0.00000	0.00000	0.00000	1.00000
alcohol_consumption	10221	0.33766	0.47445	0.00000	0.00000	0.00000	1.00000	1.00000
hour_of_sleep	10221	6.59740	0.91836	6.00000	6.00000	6.00000	8.00000	8.00000
Stress	10221	0.44805	0.57214	0.00000	0.00000	0.00000	1.00000	2.00000
Urination_frequency	10221	0.40909	0.49327	0.00000	0.00000	0.00000	1.00000	1.00000
Junc_food_consumption	10221	0.52597	0.50095	0.00000	0.00000	1.00000	1.00000	1.00000
Blood_pressure	10221	0.86363	0.80900	0.00000	0.00000	1.00000	2.00000	2.00000
BMI	10221	32.3701	7.40424	0.00000	28.00000	33.00000	36.00000	67.00000
Diabetes	10221	0.44155	0.49819	0.00000	0.00000	0.00000	1.00000	1.00000