These parameters can be optimized for accuracy using cross-validation, but their value can also be influenced by the amount of sparsity desired in the model.
Because journals tend to follow particular formatting conventions, GoldenGATE can be optimized for accuracy with a particular journal - one reason to focus effort by journal, rather than by taxon for example.
This reflects a frequent phenomenon where machine learning models tend to favor the majority class here 'O', for outside that is reasonable when optimizing for accuracy, but may not correspond to user preference and can lead to suboptimal performance in terms of other metrics, such as entity mention detection F-score.
This was due to the nature of the classifiers, which were chosen to optimize for overall accuracy including all cell type categories.
c) The successful adoption of the models that we develop depends on how well decision-makers can understand and trust their functionality, however, most of the existing machine learning models are primarily optimized for predictive accuracy and are not very interpretable.
Color calibration hardware and software was used to optimize the monitor's color profile for accuracy and optimal contrast given the room's lighting environment.
However, the exact details behind the variables that influence Google's PageRank and search engine optimization have always been trade secrets, and it would be smart to assume that Google has foreseen the potential complications of including website comments in PageRank values and optimized the new algorithm for accuracy and relevancy.
In women on sequential HRT, a transvaginal sonographic evaluation performed in the estrogen-alone phase of cycle may optimize the accuracy for focal lesion detection.
In this work, we will focus on gene expression and means for optimizing the accuracy and precision of those measurements for all cellular transcripts.
The company is not using existing speech recognition APIs, because they wanted to improve the accuracy, and optimize for multiple speakers, says Liang.
We used multiple nets and image transformations to optimize accuracy for our classification task, achieving a surprisingly low error rate of just 0.072%.
