Solar-Radiation-Prediction
OpenML dataset with id 43751
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102576/Solar-Radiation-Prediction.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 11 (numeric: 7, symbolic: 0 and in total binary: 0 )
Number of instances: 32,686
Number of instances with missing values: 0
Number of missing values: 0
Context Space Apps Moscow was held on April 29th 30th. Thank you to the 175 people who joined the International Space Apps Challenge at this location! Content The dataset contains such columns as: "wind direction", "wind speed", "humidity" and temperature. The response parameter that is to be predicted is: "Solar_radiation". It contains measurements for the past 4 months and you have to predict the level of solar radiation. Just imagine that you've got solar energy batteries and you want to know will it be reasonable to use them in future? Acknowledgements Thanks NASA for the dataset. Inspiration Predict the level of solar radiation. Here are some intersecting dependences that i have figured out:
Humidity Solarradiation. 2.Temeperature Solarradiation.
The best result of accuracy I could get using cross-validation was only 55.
This page was built for dataset: Solar-Radiation-Prediction
