Your goal is to predict the operating condition of a waterpoint for each record in the dataset. You are provided the following set of information about the waterpoints:
amount_tsh - Total static head (amount water available to waterpoint) date_recorded - The date the row was entered funder - Who funded the well gps_height - Altitude of the well installer - Organization that installed the well longitude - GPS coordinate latitude - GPS coordinate wpt_name - Name of the waterpoint if there is one num_private - basin - Geographic water basin subvillage - Geographic location region - Geographic location region_code - Geographic location (coded) district_code - Geographic location (coded) lga - Geographic location ward - Geographic location population - Population around the well public_meeting - True/False recorded_by - Group entering this row of data scheme_management - Who operates the waterpoint scheme_name - Who operates the waterpoint permit - If the waterpoint is permitted construction_year - Year the waterpoint was constructed extraction_type - The kind of extraction the waterpoint uses extraction_type_group - The kind of extraction the waterpoint uses extraction_type_class - The kind of extraction the waterpoint uses management - How the waterpoint is managed management_group - How the waterpoint is managed payment - What the water costs payment_type - What the water costs water_quality - The quality of the water quality_group - The quality of the water quantity - The quantity of water quantity_group - The quantity of water source - The source of the water source_type - The source of the water source_class - The source of the water waterpoint_type - The kind of waterpoint waterpoint_type_group - The kind of waterpoint