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How will i able check trained model prediction on new data

我在python的Scikit库的帮助下建立了模型,并使用交叉验证方法进行了训练和测试。但是现在我想用更多的新数据来测试模型的准确性,构建后如何使用新数据进行测试。

After you train your data you can use predict() multiple times. So you can test new data with same model. You can also save the model you have built using pickle. Refer to this in their documentation http://scikit-learn.org/stable/modules/model_persistence.html

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