A binary classification model is tested on 1000 data points, of which it predicts 200 belonging...
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A binary classification model is tested on 1000 data points, of which it predicts 200 belonging to the positive class and 750 are predicted correctly as the negative class. Out of 1000, if actually only 150 data points belong to the positive class, what is the model's F1-score for the positive class? * A binary classification model is tested on 1000 data points, of which it predicts 200 belonging to the positive class and 750 are predicted correctly as the negative class. Out of 1000, if actually only 150 data points belong to the positive class, what is the model's F1-score for the positive class? *
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What is the F1score for positive class Given 1000 data points False positive FP 200 False negative ... View the full answer
Related Book For
Systems analysis and design
ISBN: 978-0136089162
8th Edition
Authors: kenneth e. kendall, julie e. kendall
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