The increase in the number of vehicles has caused an increase in the pollution level. This increase is affecting nature in many ways. The government wishes to monitor the air pollution index in your city such that they can take action accordingly.
Your task is to predict the air pollution index based on the historical data provided to help the government to take appropriate actions.
Data files
Data description
Columns |
Description |
date_time |
Date, time, and hour of the data that is collected in the local time |
is_holiday |
Whether the day is a holiday or not |
humidity |
Numeric humidity in Celcius |
wind_speed |
Numeric wind speed in miles per hour |
wind_direction |
Cardinal wind direction (0-360 degree) |
visibility_in_miles |
Visibility of distance in miles |
dew_point |
Numeric dew point in Celcius |
temperature |
Numeric average temperature in Kelvin |
rain_p_h |
Numeric amount (in mm) of rain that occurred in the hour |
snow_p_h |
Numeric amount (in mm) of snow that occurred in the hour |
clouds_all |
Numeric percentage of cloud cover |
weather_type |
Categorical short textual description of the current weather |
traffic_volume | Hourly traffic volume bound in a specific direction |
air_pollution_index | Air quality index (10-300) |
You are required to write your predictions in a .csv file and upload it by clicking on the Upload file.
Sample submission
date_time |
air_pollution_index |
1969-05-17 21:00:00 |
73 |
1969-05-17 21:00:00 |
251 |
1969-05-17 21:00:00 |
83 |
1969-05-17 22:00:00 |
98 |
score=max(0,(100−root_mean_absolute_error))