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Predicts if a driver is fit to drive or not. Performance of Logistic Regression, Naive Bayes, and Random Forests using Scikit-Learn is compared.

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Driver-Fatigue-Detection

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...

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Predicts if a driver is fit to drive or not. Performance of Logistic Regression, Naive Bayes, and Random Forests using Scikit-Learn is compared.

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