How Does Auger.AI Provide the Fastest And Most Accurate AutoML?

In our last post, we pointed out that Auger outperforms the new Microsoft AutoML and other AutoML tools such as H2O and TPOT. Specifically, we took the OpenML datasets that Microsoft used to compare their AutoML with other tools, time limited to one hour and compared Auger’s predictive models (algorithms plus hyperparameters). The big question we have received on this is “how is this possible to have such dramatically higher accuracy?”.

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Auger’s New Demo Mode

Auger.AI is a free service which automates running multiple trials with your Amazon Web Services account to find the best machine learning model for your dataset. For those of you who just want to try Auger without using your AWS we have now introduced “demo mode”.

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Adam Blum
Data Preprocessing for Machine Learning in Auger

Generating a usable dataset for prediction and classification problems is usually the most time-consuming part of large data science problems. Most machine learning algorithms work only with well-structured data, generally tables with only numerical values. 

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Adam Blum
Ensembles in Auger

Among the many advanced automated machine learning techniques which Auger offers, one is to provide better predictive results is ensemble generation. Ensemble generation is a powerful technique which aims to increase the predictive performance for a given machine learning task by combining several predictive models.

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