DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information.... 
Home Features of DataLab Mathematical/Statistical Analysis Modelling AdaBoost  
See also: Random Forest Regression, Random Forest Classifier, Create a kNN Model


AdaBoost Model
The command Math/AdaBoost Model... allows calculating an AdaBoost model (both as a "regression" model and as a classification model, depending on the target variable). Please note that the AdaBoost model is only available if you have Python installed on your system. In order to calculate a model you first have have to specify the variables by clicking into the corresponding variable list. The independent variables (descriptors) are at the left, the dependent variable (target variable) can be selected at the right. After clicking the variable list the variable selection dialog allows to select the desired variables.
In order to calculate the Adaboost model the button "Calculate" () has to be pressed. After that the most important diagrams for checking the results are displayed in the switchable diagnostic window:
