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Automated Feature Engineering
- LrnByTeach 9y agoIt seems the ability of this tool to extract features from regular enterprise databases will save lots of manual effort Github repo url https://github.com/Featuretools/featuretools https://github.com/Featuretools/featuretools Python notebook for NYC Taxi 1.5 million trips training dataset https://github.com/Featuretools/NYC-Taxi-Demo/blob/master/NYC%20Taxi%203%20-%20Simple%20Featuretools.ipynb https://github.com/Featuretools/NYC-Taxi-Demo/blob/master/NY... How this automated feature extraction compares: Received a score of 0.45288 on the Kaggle competition. Placed 685 out of 1257. Beat 45% of competitors on the Kaggle competition. Scored 4% better than the baseline solution Had a modeling RMSLE of 0.40196