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Showing 1 to 4 of 4 for “"classifier evaluation"”.
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Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost
… of two parts: feature extraction cost and classifier evaluation cost. The former reflects the computational efforts of transforming data instances to feature vectors, and could be highly variable when features are heterogeneous. The latter reflects the effort of evaluating a classifier, …
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Classification of Foetal Distress and Hypoxia Using Machine Learning
… study investigates the use of machine learning classifiers for classification of foetal hypoxic cases using a novel method, in which we are not only considering the classification performance only, but also investigating the worth of each participating parameter to the classification as seen by …
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Quantifying Uncertainty in Model Evaluation
… that exhibit inherent variability. Addressing classifier performance variability is an uncomfortable truth that often complicates model evaluation and comparison, which makes it a convenient step to skip if the opportunity is presented. While industry cutting-edge implementations have internal …