Tag: Machine Learning
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A performance measurement for machine learning classification problem where output can be two or more classes, simply called as Confusion Matrix
In Machine Learning, the problem of classification involves predicting the categorical class label to which the query data point belongs. And the confusion matrix is a tabular representation of the classification model’s performance. This tutorial will help you understand the confusion matrix and the various metrics that you can calculate from the confusion matrix. We’ll…
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Saving and Reviving a Basic Machine Learning Model
In Machine learning, while working with the scikit-learn (sklearn) library or any other modules, we need to save the trained models in a file and restore them in order to reuse them to compare the model with other models, to test the model on a new data. All the executed in this article can be…