This paper is a report of a literature review to (1) demonstrate the predictability of organizational commitment as a variable, (2) compare organizational commitment and job satisfaction as predictor ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: ...

Forecasting models predict the future values of a series using two sources of information: the past values of the series and the values of other time series variables. Other variables used to predict ...

We address variable selection questions in nonlinear and nonparametric regression. Motivated by statistical genetics, where nonlinear interactions are of particular interest, we introduce a novel, ...

It is my understanding that large imbalances in predictor variable categories (e.g., a sample with 10% males and 90% females) will reduce a variable's importance (variable importance measure) and ...

Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on ...