porto-seguro

Training dataset of the 'Porto Seguros Safe Driver Prediction' Kaggle challenge [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction]. The goal was to predict whether a driver will file an insurance claim next year. The official rules of the challenge explicitely state that the data may be used for 'academic research and education, and other non-commercial purposes' [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/rules]. For a description of all variables checkout the Kaggle dataset repository [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/data]. It states that numeric features with integer values that do not contain 'bin' or 'cat' in their variable names are in fact ordinal features which could be treated as ordinal factors in R. For further information on effective preprocessing and feature engineering checkout the 'Kernels' section of the Kaggle challenge website [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/kernels]. Note that many Kagglers removed all 'calc' variables as they do not seem to carry much information.