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How do I apply predicted test dataset on random unlabeled validation data set

Akshay21Akshay21 Member Posts: 2 Newbie
in Help
I have trained model (Decision Tree) based on training set (0.8) and tested the trained model on test dataset (0.2) and got the accuracy results with performance operator.
However, I have random unlabeled validation dataset which i.e external example set, and I want to apply the trained and tested model on validation dataset and get the accuracy and confidence interval results for that validation set.
How do I proceed? Please suggest as soon as possible.

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  • Akshay21Akshay21 Member Posts: 2 Newbie
    Thanks for the information.

    One more thing, is there any relation between confidence(True), confidence(False) on validation set and accuracy?

    As per my unlabeled validation set does not have 'True' labels, we will get only predictions randomly and their confidence ratios. Right?

    How can I be sure that after testing test data on validation set we should deploy the model?

    Any suggestions would be helpful.


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