电脑桌面
添加小米粒文库到电脑桌面
安装后可以在桌面快捷访问

FAFU机器学习06-1 Decision Tree课件VIP免费

FAFU机器学习06-1 Decision Tree课件FAFU机器学习06-1 Decision Tree课件FAFU机器学习06-1 Decision Tree课件FAFU机器学习06-1 Decision Tree课件FAFU机器学习06-1 Decision Tree课件
Foundations of Machine Learning Decision TreeTop 10 algorithms in data miningC4.5K-MeansSVMAprioriEM (Maximum Likelihood)PageRankAdaBoostKNNNaïveBayesCARTMain Classification MethodsLogistic RegressionLinear Discriminant AnalysisDecision Tree InductionNearest Neighbor Bayes Classification MethodsClassification by BackpropagationSupport Vector MachinesEnsemble Methods…Illustrating Classification Task Example of a Decision Tree Another Example of Decision Tree Decision Tree Classification Task Apply Model to Test Data Decision Tree Classification Task 10Algorithm for Decision Tree InductionMany Algorithms: Hunt’s Algorithm (one of the earliest) ID3 (Iterative Dichotomiser)C4.5 CART (Classification and Regression Tree)SLIQ (Supervised Learning In Quest)SPRINT (Scalable PaRallelizable INduction of decision Trees)…… 11Algorithm for Decision Tree InductionBasic algorithm (a greedy algorithm)Tree is constructed in a top-down recursive divide-and-conquer mannerAt start, all the training examples are at the rootAttributes are categorical (if continuous-valued, they are discretized in advance)Examples are partitioned recursively based on selected attributesTest attributes are selected on the basis of a heuristic or statistical measure (e.g., information gain)Conditions for stopping partitioningAll samples for a given node belong to the same classThere are no remaining attributes for further partitioning – majority voting is employed for classifying the leafThere are no samples left…12Algorithm for Decision Tree Induction13Algorithm for Decision Tree InductionGreedy strategy Split the records based on an attribute test that optimizes certain criterion ( 根据最优划分属性进行划分 )Issues Determine how to select the best attribute? How to split to records? How to...

1、当您付费下载文档后,您只拥有了使用权限,并不意味着购买了版权,文档只能用于自身使用,不得用于其他商业用途(如 [转卖]进行直接盈利或[编辑后售卖]进行间接盈利)。
2、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。
3、如文档内容存在违规,或者侵犯商业秘密、侵犯著作权等,请点击“违规举报”。

碎片内容

FAFU机器学习06-1 Decision Tree课件

确认删除?
VIP
微信客服
  • 扫码咨询
会员Q群
  • 会员专属群点击这里加入QQ群
客服邮箱
回到顶部