We used the decision tree regression model from the scikit-learn module (version 0.23.2) in Python 3.8 to train the decision trees. This model uses a modified version of the CART algorithm to find the ...

Gladstone is the No 1 target for decarbonisation nerds in Australia and could be a global model. But it’s just a dream that no decision maker takes seriously.

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

Abstract Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Research showed that the decision tree model analysis method could not only obtain a more intuitive relationship diagram between various influencing factors, but also identify the most critical ...

In this paper, we propose a new framework for GPU-accelerated DBSCAN, and describe two tree-based algorithms within that framework. Both algorithms fuse the search for neighbors with updating cluster ...

Conclusion: Our study shows potential implementation of machine learning decision tree model algorithms based on a hierarchical, convenient, and personalized use of perfusion and spectroscopy MRI data ...

Ordered binary decision diagrams (OBDDs) use restricted decision trees with shared subgraphs. The ordering of variables is fixed throughout an OBDD diagram. However, the size of an OBDD is very ...

Search and Rescue operations for victim identification in an unstructured collapsed building are high-risk and time-consuming. The possibility of saving a victim is high only during the first 48 hours ...

Fitness model, Rosa Esparza, defended her decision to workout in full makeup and "trendy" outfits after receiving backlash from social media users.