Weather
OpenML dataset with id 41679
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Full work available at URL: https://api.openml.org/data/v1/download/21377131/Weather.arff
Upload date: 16 May 2019
Dataset Characteristics
Number of classes: 2
Number of features: 5 (numeric: 2, symbolic: 3 and in total binary: 2 )
Number of instances: 14
Number of instances with missing values: 0
Number of missing values: 0
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some unspecified game. In general, instances in a dataset are characterized by the values of features, or attributes, that measure different aspects of the instance. In this case there are four attributes: outlook, temperature, humidity, and windy. The outcome is whether to play or not.
This page was built for dataset: Weather
