Various machine learning classification algorithms are tested to predict if a driver is fit to drive..
The dataset has three groups of features-
P1, P2 ,..., P8 -> physiological factors
E1, E2 ,..., E11 -> environmental factors
V1, V2 ,..., V9 -> vehicular factors
Logisitic Regression, Naive Bayes and Random forests from scikit-learn are used for training...
Maximum accuracy is obtained using Random Forests...