Selected article for: "high accuracy and large number"
Author: Kshirsagar, Meghana; Carbonell, Jaime; Klein-Seetharaman, Judith
Title: Multitask learning for host–pathogen protein interactions
  • Document date: 2013_7_1
    • ID: sdgt2ms5_57
    Snippet: We use 10-fold cross validation (CV) to evaluate the performance of all algorithms. Our evaluation criteria do not use accuracy, which measures performance on both the classes. Because our datasets are highly imbalanced with a large number of negative samples, a naı¨ve classifier that always says 'no' would still have a high accuracy. We instead use precision and recall computed on the interacting pairs (positive class) because they can deal wi.....
    Document: We use 10-fold cross validation (CV) to evaluate the performance of all algorithms. Our evaluation criteria do not use accuracy, which measures performance on both the classes. Because our datasets are highly imbalanced with a large number of negative samples, a naı¨ve classifier that always says 'no' would still have a high accuracy. We instead use precision and recall computed on the interacting pairs (positive class) because they can deal with class imbalance.

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