Final answer:
The message 'no further splits with positive gain -INF' relates to decision tree algorithms in machine learning, indicating that no additional beneficial data splits are possible that would enhance the model's performance.
Step-by-step explanation:
The message 'no further splits with positive gain -INF' typically occurs in the context of decision tree algorithms or machine learning models that utilize tree-based methods. This message suggests that the algorithm cannot find any additional splits of the data that would result in a positive gain in information, meaning that further partitioning of the dataset would not improve the model's performance according to the selected metric (usually a reduction in entropy or Gini impurity).
During the tree building process, various potential splits are evaluated to determine which one brings the most information gain. If a split does not reduce the uncertainty (or does not improve the purity of the nodes), then that split would not have a positive gain. The '-INF' part likely indicates that the potential improvement from any further split is being evaluated as negative infinity, thereby stopping the algorithm from splitting further as it would not lead to a better model.