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30 lines
791 B
Go
30 lines
791 B
Go
package ensemble
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import (
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"fmt"
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base "github.com/sjwhitworth/golearn/base"
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eval "github.com/sjwhitworth/golearn/evaluation"
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filters "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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insts := base.InstancesTrainTestSplit(inst, 0.6)
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filt := filters.NewChiMergeFilter(insts[0], 0.90)
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filt.AddAllNumericAttributes()
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filt.Build()
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filt.Run(insts[1])
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filt.Run(insts[0])
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rf := NewRandomForest(15, 2)
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rf.Fit(insts[0])
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predictions := rf.Predict(insts[1])
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fmt.Println(predictions)
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confusionMat := eval.GetConfusionMatrix(insts[1], 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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