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Two rain prediction models using an Australia weather dataset
amounsey/AustraliaRainPrediction
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Description What follows is a verbatim extract from: https://www.kaggle.com/jsphyg/weather-dataset-rattle-package/home Context Predict whether or not it will rain tomorrow by training a binary classification model on target RainTomorrow Content This dataset contains daily weather observations from numerous Australian weather stations. The target variable RainTomorrow means: Did it rain the next day? Yes or No. Note: You should exclude the variable Risk-MM when training a binary classification model. Not excluding it will leak the answers to your model and reduce its predictability. Read more about it here. Source & Acknowledgements Observations were drawn from numerous weather stations. The daily observations are available from http://www.bom.gov.au/climate/data. Copyright Commonwealth of Australia 2010, Bureau of Meteorology. Definitions adapted from http://www.bom.gov.au/climate/dwo/IDCJDW0000.shtml This dataset is also available via the R package rattle.data and at https://rattle.togaware.com/weatherAUS.csv. Package home page: http://rattle.togaware.com. Data source: http://www.bom.gov.au/climate/dwo/ and http://www.bom.gov.au/climate/data. And to see some great examples of how to use this data: https://togaware.com/onepager/
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