A single NCD-plus-SVM pipeline reaches 0.77 to 0.95 accuracy on five text classification tasks, but the parameter-free claim is undercut by per-dataset tuning and training-set evaluation.
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A compression based framework for the detection of anomalies in heterogeneous data sources
A single NCD-plus-SVM pipeline reaches 0.77 to 0.95 accuracy on five text classification tasks, but the parameter-free claim is undercut by per-dataset tuning and training-set evaluation.