1.1 决策树的概念 A Decision Tree is a Supervised Machine Learning algorithm which looks like an inverted tree, wherein each node represents a predictor variable (feature), the link between the nodes represents a Decision and each leaf node represents an outcome (response variable). 上面这个概念主...
Tree-based machine learning models for enhanced large-scale soil Mn classification by integrating visible-near infrared spectroscopydoi:10.1007/s11368-024-03914-7Given the growing concern over soil heavy metal contamination, there is an increasing need for affordable and precise soil heavy metal ...
27 evaluated seven traditional machine learning models—KNN, SVM, LR, Convolutional Neural Network (CNN), Gradient Boost, XGBoost, and RF—on two datasets: the Cardiovascular Heart Disease Dataset and the Heart Disease Cleveland Dataset, each containing 1000 samples. When compared, the XGBoost model...
1, the ensemble model lacks interpretability similar to the deep learning model. In contrast, linear and tree-based models have superior interpretability, but their accuracy is generally insufficient. Therefore, the development of a machine learning model that achieves both accuracy and interpretability ...
In this paper, two novel hybrid decision tree-based machine learning models are proposed to obtain more accurate short-term water quality prediction results. The basic models of the two hybrid models are extreme gradient boosting (XGBoost) and random forest (RF), which respectively introduce an ...
Real-time monitoring radiofrequency ablation using tree-based ensemble learning modelsRadiofrequencyablationtumorcancercontrolmonitoringmachinelearningensemblelesionBackground: Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current...
youtube daily estimated revenue prediction with machine-learning (tree-based models) - comsa33/ML-Youtube-Revenue-Prediction-Analysis
Exploring Tree-Based Machine Learning Models to Estimate the Ultimate Pile Capacity From Cone Penetration Test Data Several approaches have been developed to estimate the ultimate capacity of piles, such as static and dynamic load tests, static analysis from soil borings... MM Shoaib,MY Abu-Farsakh...
Paper翻译:《Identification of Apple Tree Leaf Diseases Based on Deep Learning Models》,程序员大本营,技术文章内容聚合第一站。
SHAP(SHapley Additive exPlanation) values are one of the leading tools for interpreting machine learning models. Even though computing SHAP values takes exponential time in general, TreeSHAP takes polynomial time on tree-based models (e.g., decision trees, random forest, gradient boosted trees). ...