![]() N first rows: The N first observations are selected for the validation. The "Number of observations" N must then be specified. N last rows: The N last observations are selected for the validation. Random: The observations are randomly selected. Validation set: Choose one of the following options to define how to obtain the observations used for the validation: ![]() Validation: Activate this option if you want to use a sub-sample of the data to validate the model. Interactions / Level: Activate this option to include interactions in the model then enter the maximum interaction level (value between 1 and 5). Past that time, if convergence has not been reached, the algorithm stops and returns the results obtained during the last iteration. Maximum time (in seconds): Enter the maximum time allowed for a coordinate descent. Default value: 100.Ĭonvergence: Enter the maximum value of the evolution of the log of the likelihood from one iteration to another which, when reached, means that the algorithm is considered to have converged. Number of values tested: Enter the number of λ values that will be tested during the cross validation. ![]()
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