Research Article
[Retracted] IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Table 1
Possible answers for different features.
| Sl. No | Features | Possible answers |
| 1 | Age | More than 18 years | 2 | Gender | Male 643, Female 429 | 3 | Family history | Yes/No | 4 | Physical_Activity | 1. More_than_one_hour 2. Less_than_one_hour 3. Never | 5 | Urination_Frequency | 1. Frequently 2. Not much | 6 | Junc_Food_Consumption | Yes/No | 7 | Blood_Pressure | 1. Normal 2. High 3. Low | 8 | BMI | Numeric | 9 | Diabetes | Yes/No | 10 | Reglar_Intake_Of_Medicne | Yes/No | 11 | No_Of_Pregnancies | Numeric | 12 | Smoking | Yes/No | 13 | Alcohol_Consumption | Yes/No | 14 | Hour_Of_Sleep | Numeric | 15 | Stress | Yes/No |
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