Credit 5

Training_Data.csv

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+Id,income,age,experience,married,house_ownership,car_ownership,profession,city,state,current_job_years,current_house_years,risk_flag
+1,1303835,23,3,single,rented,no,Mechanical_engineer,Rewa,Madhya_Pradesh,3,13,0
+2,7574516,40,10,single,rented,no,Software_Developer,Parbhani,Maharashtra,9,13,0
+3,3991815,66,4,married,rented,no,Technical_writer,Alappuzha,Kerala,4,10,0
+4,6256451,41,2,single,rented,yes,Software_Developer,Bhubaneswar,Odisha,2,12,1
+5,5768871,47,11,single,rented,no,Civil_servant,Tiruchirappalli[10],Tamil_Nadu,3,14,1
+6,6915937,64,0,single,rented,no,Civil_servant,Jalgaon,Maharashtra,0,12,0
+7,3954973,58,14,married,rented,no,Librarian,Tiruppur,Tamil_Nadu,8,12,0
+8,1706172,33,2,single,rented,no,Economist,Jamnagar,Gujarat,2,14,0
+9,7566849,24,17,single,rented,yes,Flight_attendant,Kota[6],Rajasthan,11,11,0