Hi, my query is the following, you have a way to extract coefficients or the structure of a machine learning model from those generated with knime (Something like a Summary (Model) in R?. For example, the Random Forest node can see the structure of the model and its things, but I can not find a way to extract the information faster.
For regression models, the coefficients are one of the output nodes, “Coefficients and Statistics”.
For Tree Ensemble & Random Forest, there is not explicit feature importance algorithm, but there is an output node for attribute statistics.
Beyond there, a number of users have developed their own methods with Knime for better mining model output, with one example post being here: https://www.knime.com/forum/knime-general/how-to-get-the-variable-importance-from-the-random-forest-model