I have the 80 data cases, already prepared and classified into 7 categorical variables. (Except age that needs to be grouped.) (Variables are: age, sex, obesity, hypertension, diabetes, tobacco, and pulmonary disease.)
Using AZURE Machine Learning platform with some algorithm (which could be: “Boosted Decision tree”, or the one that suits better)
After the training process, I want to predict the probability for the selected “target variable".
Using the predictive webservice, I will place “new values" on each variable field and the system will gives me the probability for the chosen “target variable”. That’s it
I can give an example
The expected product:
I need the azure experiment files (all the appropriate boxes already tunned ) for the training and the predictive modules running and the related webservice working as well. Just that !