Hi everybody
you might now the dataset in-vehicle-coupon reccomendation.
In-Vehicle Coupon Recommendation - UCI Machine Learning Repository
I would like to create a machine learning model where you can choose parameters (variables) of different columns to get a forecast whether the coupon (with the chosen variables) will be accepted or not (prediction probability)
for the variable input I would use the node “Value Selection Widget”.
Variables would be destination, weather, passanger, gender, age, materialstatus, children, income, material status, income, education, occupation, income, coupon, bar, coffehouse, carryaway, restaurant<20, restaurant 20-50, tocoupon_geq15min, tocoupon_geq25min.
I already set up a workflow but i don’t know where to put the value selection widget exactly and how to configure the ML Learner and predictor to get a result based on my variables.
Maybe you could help me to complete the workflow or give me a better way so solve this question.
Thank you very much in advance!