Description: Bayes classification is on of data at employed for binary classification in first level and it can be extended for multi level of selection Platform: |
Size: 1024 |
Author:Madhavaraja |
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Description: his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes. Platform: |
Size: 2048 |
Author:rajesh |
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Description: 题目:设计二分类数据集合，满足 1 线性可分
2 线性可分但是有离群点
3 线性不可分
将利用神经网络感知器来进行操作.
-Title: design binary classification data collection, meet 1 linear separable
Two linear separable but there are outliers
Three linear inseparable
Will use the perceptron neural network to operate Platform: |
Size: 121856 |
Author:岳志超 |
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