Always getting the same prediction for the different input using MLClassifier in Core ML

I have a pretty simple .csv table (short example): 

CITY DATE PRICE
Paris 5022019 1000000
Paris 6022019 1000100
Paris 7022019 1000200
New York 5022019 2000200
New York 6022019 2000400
New York 7022019 2000800

I use this table as an input parameter when creating a model in Create ML, where the target is PRICE, CITY and DATE are feature columns.

I need to get a price prediction for a giving date in the future for a particular city.

The code below gives a different price for different dates, as it should work, however, it gives the same result regardless of the given city:

Code Block 
let prediction = try? model.prediction(
 CITY: name, DATE: date
)
let price = prediction?.PRICE

The price for a given date in the future in Paris should not be equal to the price for the same date in New York.
Do I really need to create 2 different models for each of the cities?
Thank you!