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 ...
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...
Pruning decision trees is the way to decrease their size in order to reduce classification time and improve (or at least maintain) classification accuracy.
Pruning Decision Trees and Lists Machine learning algorithms are techniques that automatically build models describing the structure at the heart of a set of data. Ideally, such models can be used to predict properties of future data points and people can use them to an... E Frank 被引量: ...
and a good potential for processing big data. This paper investigates a model tree in which the ELM model is applied to some leaf nodes of the tree and compares two fundamental strategies for generating model trees in terms of training complexity and generalization ability, namely, prepruning and...
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...
Machine learning for soil moisture assessment 3.5 Random forest RF is an ensemble ML technique that was developed by Breiman (2001). In this technique, a “forest” of multiple random uncorrelated decision trees are constructed from the subsets of the training dataset, and their outputs are ensemb...
artificial-intelligence game-theory pruning decision-trees minimax-algorithm decision-theory heuristic-algorithm Updated Aug 11, 2018 Java LidorPrototype / ChessGameIssue1 Star 0 Code Issues Pull requests A chess game engine with basic GUI made of chess pieces images java chess-engine chess java...
First, it investigates how data clustering (a well known diversity technique) can be applied to identify groups of similar decision trees in an RF in order to eliminate redundant trees by selecting a representative from each group (cluster). Second, these likely diverse representatives are then ...