To build a regression model to predict the visibility distance based on the given different climatic indicators in the training data.
Data Description: This dataset predicts the visibility distance based on the different indicators as below:
- VISIBILITY - Distance from which an object can be seen.
- DRYBULBTEMPF-Dry bulb temperature (degrees Fahrenheit). Most commonly reported standard temperature.
- WETBULBTEMPF-Wet bulb temperature (degrees Fahrenheit).
- DewPointTempF-Dew point temperature (degrees Fahrenheit).
- RelativeHumidity-Relative humidity (percent).
- WindSpeed-Wind speed (miles per hour).
- WindDirection-Wind direction from true north using compass directions.
- StationPressure-Atmospheric pressure (inches of Mercury; or ‘in Hg’).
- SeaLevelPressure- Sea level pressure (in Hg).
- Precip Total-precipitation in the past hour (in inches).
Apart from training files, we also require a "schema" file from the client, which contains all the relevant information about the training files such as: Name of the files, Length of Date value in FileName, Length of Time value in FileName, Number of Columns, Name of the Columns, and their datatype.
Krishna Heroor