classifiers

package

v0.1.0 Latest Latest Go to latest Published: Feb 7, 2016 License: BSD-3-Clause Imports: 0 Imported by: 0

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Valid go.mod file
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Repository

github.com/shuLhan/go-mining

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Documentation ¶

Index ¶

type TestStats

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

This section is empty.

Types ¶

type TestStats ¶

type TestStats struct {
	// NSample number of sample used for testing
	NSample int
	// NPositive number of positive result
	NPositive int
	// NNegative number of negative result
	NNegative int
}

func (*TestStats) GetFPRate ¶

func (tstats *TestStats) GetFPRate() float64

func (*TestStats) GetRecall ¶

func (tstats *TestStats) GetRecall() float64

func (*TestStats) GetTNRate ¶

func (tstats *TestStats) GetTNRate() float64

func (*TestStats) GetTPRate ¶

func (tstats *TestStats) GetTPRate() float64

Source Files ¶

View all Source files

teststats.go

Directories ¶

Path	Synopsis
cart Package cart implement the Classification and Regression Tree by Breiman, et al.	Package cart implement the Classification and Regression Tree by Breiman, et al.
cascadedrf Package cascadedrf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al.	Package cascadedrf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al.
randomforest Package randomforest implement ensemble of classifiers using random forest algorithm by Breiman and Cutler.	Package randomforest implement ensemble of classifiers using random forest algorithm by Breiman and Cutler.

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