Problem statement

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

Data files

• train.csv: Contains the training data; 33751 x 14 (includes headers)
• test.csv: Contains the test data; 14455 x 13 (includes headers)

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)

Submission format

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

Evaluation criteria

\(score = max(0, (100-root\_mean\_absolute\_error))\)