4. Based on the following Figure 3, which contains data from "Diabetes" dataset. Answer the following questions. User_ID Gender Age Height Weight Duration Heart_Rate Body_Temp Calories O 14733363 231.0 male 68 190.0 94.0 29.0 105.0 40.8 1 14861698 female 20 166.0 60.0 14.0 94.0 40.3 66.0 2 11179863 male 69 179.0 79.0 5.0 88.0 38.7 26.0 3 16180408 female 34 179.0 71.0 13.0 100.0 40.5 71.0 4 17771927 female 27 154.0 58.0 10.0 81.0 39.8 35.0 ... ... 14995 15644082 female 20 193.0 86.0 11.0 92.0 40.4 45.0 14996 17212577 female 27 165.0 65.0 6.0 85.0 39.2 23.0 14997 17271188 female 43 159.0 58.0 16.0 90.0 40.1 75.0 14998 18643037 male 78 193.0 97.0 2.0 84.0 38.3 11.0 14999 11751526 male 63 173.0 79.0 18.0 92.0 40.5 98.0 15000 rows x 9 columns Figure 3 (a) Which type of learning approaches is suitable for creating a Machine Learning approach based on the information on Figure 3? Explain your answer. (b) Based in your answer in 4(a), suggest a machine learning algorithm that is more suitable to build a diabetic model.

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