By Dr Gwinyai Nyakuengama

(2 January 2019)

KEY WORDS

Kaggle Amazon wine reviews; R; word2vec, h2o routine; RapidMiner Auto Model; Automatic Feature Engineering; Supervised Machine Learning Models; Naive Bayes; Generalized Linear Model; Logistic Regression; Deep Learning; Random Forest; Gradient Boosted Trees; Support Vector Machine; Model performance; Receiver Operator Curve;  Confusion Matrix

Using R and RapidMiner to rapidly and reliably choose a good red from 40,000 Kaggle wine review texts -20180102