Table 1.

15 raw event values and 36 generated features.

Event_value (15)	Start, End, city_subway, concession, full_fare, daily, Cancel, country_trains, individual, Buy, trip_1, trip_2, trip_3, trip_4, trip_5
Time features (4)	T_time, A_time, S_time, E_time
Single actions (12)	All in raw event_values except for Start, End and Buy
Two actions coded together (18)	S_city (Start → city_subway) S_country (Start → country_trains) city_full (city_subway → full_fare) city_concession (city_subway → concession) country_full (country_trains → full_fare) country_concession (country_trains → concession) concession_daily (concession → daily) concession_individual (concession → individual) full_daily (full_fare → daily) full_individual (full_fare → individual) individual_trip4 (individual → trip_4) other_cancel (other → Cancel) daily_cancel (daily → Cancel) trip4_cancel (trip_4 → Cancel) daily_buy (daily → Buy) trip4_buy (trip_4 → Buy) individual_other (individual → other) other_buy (other → Buy)
Four actions coded together (2)	city_con_ind_4 (city_subway → concession → individual → trip_4) city_con_daily_cancel (city_subway → concession → daily → Cancel)