保存的 KNN 分类器模型和加载的模型不给出相同的结果。

(base) asdads@ASDF-02Y611MJHC8-2 serve_first_mlmodel % go run main.go Load our csv data Initialize a new KNN classifier Print our summary metrics Reference Class True Positives False Positives True Negatives Precision Recall F1 Score

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Iris-virginica 31 1 66 0.9688 0.9688 0.9688 Iris-setosa 35 0 64 1.0000 1.0000 1.0000 Iris-versicolor 31 1 66 0.9688 0.9688 0.9688 Overall accuracy: 0.9798 writer: &{0xc00012c630 0xc0000145f8 0xc00019c380 }##### USING LOADED MODEL Print our summary metrics of loaded model Reference Class True Positives False