Question regarding model types/classifiers

[fmalzy]

It appears that you have employed various model types/classifiers (SVC, RandomForest, KNN, DecisionTree) for different disorders (such as diabetes and asthma). However, frankly speaking I find it somewhat confusing as to why you opted for these specific choices for each disorder...Also, since there are some redundancies in the code (data_model), one potential optimization suggestion in the future (given our current time constraints) is to implement a loop and define a training function that encompasses all disorders :)

[saipriya0209]

thank you for the suggestion! I have a grid search for each disorder in the XG Boost model as my main analysis. The redundant models are just me comparing the performances of many models