Remove 2014 Remove Auto-classification Remove Categorization
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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

Unite.AI

It was in 2014 when ICML organized the first AutoML workshop that AutoML gained the attention of ML developers. Second, the White-Box Preset implements simple interpretable algorithms such as Logistic Regression instead of WoE or Weight of Evidence encoding and discretized features to solve binary classification tasks on tabular data.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

For Problem type , select Classification. In the following example, we drop the columns Timestamp, Country, state, and comments, because these features will have least impact for classification of our model. Linear categorical to categorical correlation is not supported. For Analysis name , enter a name. Choose Create.