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# CLASSIFICATION BOUNDARIES - PowerPoint PPT Presentation

CLASSIFICATION BOUNDARIES. 姓名 : 吳思葦 學號 :601630402 課堂教授 : 魏世杰 報告日期 :102/12/3 1. Weka’s Boundary Visualizer for OneR. Open iris.2D.arff , a 2D dataset Weka GUI Chooser : Visualization > BoundaryVisualizer Open iris.2D.arff Note: petallength on X , petalwidth on Y

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### CLASSIFICATION BOUNDARIES

Weka’s Boundary Visualizer for OneR

• Open iris.2D.arff , a 2D dataset

• Weka GUI Chooser : Visualization >BoundaryVisualizer

• Open iris.2D.arff

• Note: petallength on X , petalwidth on Y

• Choose rules > OneR

• Check Plot training data

• Click Start

• In the Explorer , examine OneR’s rule

• Choose lazy>IBK

• Plot training data ; click Start

• K=5,20;note mixed colors

• Choose bayes > NaiveBayes

• Set useSupervisedDiscretization to true

• Choose trees > J48

• Relate the plot to Explorer output

CLASSIFICATION BOUNDARIES

• Classifiers create boundaries in instance space

• Different classifiers have different biases

• Looked at OneR , IBK , NaiveBayes , J48

• Visualization restricted to numeric attributes , and 2D plots

PREPROCESSING AND PARAMETER TUNING

• Explorer可提供的資料預處理項目:

• 離散化(Discretization)

• 正規化(normalization)

• 重新抽樣(resampling)

• 屬性選擇(attribute selection)

• 屬性轉換或合併(transforming and combining attributes)…

• Unsupervised

• weka.filters.unsupervised.attribute.Discretize

• equal-width (the default)

• equal-frequency

• Supervised

• weka.filters.supervised.attribute.Discretize

• 屬性評估器

• 屬性子集評估器

• 單一屬性評估器

• 搜索方法

• 搜索方法

• 排序方法

• 屬性評估器

• 屬性子集評估器

• 單一屬性評估器

• 搜索方法

• 搜索方法

• 排序方法

• 兩種屬性子集選取模式

• 屬性子集評估器+搜索方法

• 單一屬性評估器+排序方法

BestFirst

ExhaustiveSearch

GeneticSearch

GreedyStepwise

RandomSearch

RankSearch

• 屬性子集評估器

• CfsSubsetEval

• ClassifierSubsetEval

• ConsistencySubsetEval

• WrapperSubsetEval

• 單一屬性評估器

• ChiSquaredAttributeEval

• GainRationAttributeEval

• InfoGainAttributeEval

• OneRAttributeEval

• PrincipleComponents

• ReliefAttributeEval

• SymmetricalUncertAttributeEval

• 排序方法

• Ranker