Automatic Feature Engineering with RapidMiner Auto Model: Rapidly identifying alcoholics from their EEGs with ease, precision and accuracy.

Automatic Feature Engineering with RapidMiner Auto Model_by_DrGwinNyakuengama_DatAnalytics_20190206

Source: https://kdd.ics.uci.edu/databases/eeg/

 

By Dr Gwinyai Nyakuengama

(5 March 2019)

 

KEY WORDS

Electroencephalogram (EEG); Alcoholics; RapidMiner Auto Model; Automatic Feature Engineering; Machine Learning; Classification; Deep Learning; Decision Tree; Random Forest; Gradient Boosted Tree; Support Vector Machine.

 

Automatic Feature Engineering with RapidMiner Auto Model_by_DrGwinNyakuengama_DatAnalytics_20190206

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