Exact(6)
After three iterations (including 3,279 annotated samples), the gene-neutral classifier achieved a highest accuracy of 89.8%.
Overall, we find that miRCluster performs better after using Isomap, and achieves a highest accuracy of 92.08% when 150 features are selected.
The gene-neutral classifier achieved a highest accuracy of 89.8%, indicating the system's potential in facilitating information retrieval tasks targeting clinical trial documents.
When a gene-neutral, two-stage classifier was applied to the real-world task of cancer trial annotation, it achieved a highest accuracy of 89.8%, demonstrating the feasibility of developing a gene-neutral classifier for this task.
When it was applied to a real-world task of annotating mentions of any human gene in cancer trials, the two-stage classifier achieved a highest accuracy of 89.8%.
When it was applied to all genes in cancer trial documents, the gene-neutral classifier achieved a highest accuracy of 89.8%, indicating the system's potential in facilitating information retrieval tasks targeting clinical trial documents.
Similar(54)
Also, it offers a high accuracy of phase shift.
Therefore, a high similarity will mean a high accuracy of the predictor.
This indicates a high accuracy of the derived model to predicate the response.
The results showed that the building damage probability provided a high accuracy of prediction about 75.81%.
It takes channel distribution into consideration, resulting in a high accuracy of estimator.
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