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34 lines
858 B
Go
34 lines
858 B
Go
package ensemble
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import (
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"fmt"
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"github.com/sjwhitworth/golearn/base"
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eval "github.com/sjwhitworth/golearn/evaluation"
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"github.com/sjwhitworth/golearn/filters"
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"testing"
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)
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func TestRandomForest1(testEnv *testing.T) {
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inst, err := base.ParseCSVToInstances("../examples/datasets/iris_headers.csv", true)
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if err != nil {
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panic(err)
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}
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filt := filters.NewChiMergeFilter(inst, 0.90)
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for _, a := range base.NonClassFloatAttributes(inst) {
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filt.AddAttribute(a)
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}
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filt.Train()
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instf := base.NewLazilyFilteredInstances(inst, filt)
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trainData, testData := base.InstancesTrainTestSplit(instf, 0.60)
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rf := NewRandomForest(10, 3)
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rf.Fit(trainData)
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predictions := rf.Predict(testData)
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fmt.Println(predictions)
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confusionMat := eval.GetConfusionMatrix(testData, predictions)
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fmt.Println(confusionMat)
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fmt.Println(eval.GetSummary(confusionMat))
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}
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