1. Wikipedia上的Pruning (decision trees)和Random Froest algorithm。 2. Dataaspirant上的《HOW THE RANDOM FOREST ALGORITHM WORKS IN MACHINE LEARNING》 3. medium上的《How Random Forest Algorithm Works in Machine Learning》 同时推荐读者去阅读《The Random Forest Algorithm》,因为这篇文章讲解了在scikit-l...
1. Wikipedia上的Pruning (decision trees)和Random Froest algorithm。 2. Dataaspirant上的《HOW THE RANDOM FOREST ALGORITHM WORKS IN MACHINE LEARNING》 3. medium上的《How Random Forest Algorithm Works in Machine Learning》 同时推荐读者去阅读《The Random Forest Algorithm》,因为这篇文章讲解了在scikit-l...
英文:The gardener regularly performs pruning on the trees to maintain their aesthetic appeal. 中文:在机器学习中,剪枝是一种减少过拟合的技术。 英文:In machine learning, pruning is a technique used to reduce overfitting. 中文:果农通过修剪树枝来提高果实的产量和质量。 英文...
Nowadays, a number of machine learning prediction methods are being applied in the field of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In the present study, hybrid machine learning approaches of Reduced Error Pruning Trees (REPT) and different ...
Pruning decision trees is the way to decrease their size in order to reduce classification time and improve (or at least maintain) classification accuracy.
Decision trees are one of the most popular and commonly used classification models. Many algorithms have been designed to build decision trees in the last ... Y Elsonbaty,A Neematallah - IEEE 被引量: 3发表: 2005年 加载更多研究点推荐 pruning decision tree Genetic Algorithms Genetic algorithm ...
The objective of this research is introduce a new machine learning ensemble approach that is a hybridization of Bagging ensemble (BE) and Logistic Model Trees (LMTree), named as BE-LMtree, for improving the performance of the landslide s... T Xuan,M Muneki,K Yasuyuki,... - 《Applied Sc...
Decision tree learning is a widely used machine learning technique. When we construct a decision tree from some data, especially noisy data, the obtained tree may overfit the data and thus does not perform well on new data. In decision trees, this overfitting phenomenon can occur when the size...
The experimental results are verified by using benchmark datasets from UCI machine learning repository. The results indicate that our new tree pruning method is a feasible way of pruning decision trees.Ali Mirza MahmoodKapavarapu PavaniVenu Gopal Kavuluru...
trees and lists are potentially powerful predictors and embody an explic- it representation of the structure in a dataset. Their accuracy and comprehensibility depends on how concisely the learning algorithm can summarize this structure. The final model should not incorporate spurious effects—...