melbourne_airbnb
收藏OpenML2025-04-14 更新2025-12-20 收录
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资源简介：
Predict the price label of AirBnb listings (in Melbourne, Australia) based on information from the listing page including
various text descriptions and many numeric features
(e.g. host's response-rate, number of bed/bath-rooms) and categorical features (e.g. property
type, superhost or not). Representing a complex classification task with many features from
each modality, the original version of this dataset was released via the InsideAirbnb initiative:
https://www.kaggle.com/tylerx/melbourne-airbnb-open-data
We applied the next preprocessing for uploading to OpenML:
dataset.map(lambda x: f'"{x}"' if isinstance(x, str) else x)
Dataset found from the paper: Benchmarking multimodal automl for tabular data with text fields. arXiv preprint arXiv:2111.02705.
创建时间：
2025-04-14
