-
281
SVM classification precision scores.
Almmustuhtton 2025“…<p>Precision values for SVM classification, provided as a CSV file with comma-separated values.…”
-
282
Performance of lesion classification studies.
Almmustuhtton 2025“…<p>Scatter plot showing reported performance (as measured by AUROC) for lesion classification (interpretation) studies against the reported size of the development dataset by number of breast ultrasound images. …”
-
283
Features used for diagnosis classification.
Almmustuhtton 2025“…All cells left white did not contribute to classification. The characteristic features for the neurotypical control group can be obtained by simply multiplying the feature values shown here by −1.…”
-
284
-
285
-
286
-
287
-
288
-
289
-
290
-
291
-
292
Dendrogram classification of environmental variables.
Almmustuhtton 2025“…<p>Dendrogram classification of environmental variables.</p>…”
-
293
Classification of attributes in the studies examined.
Almmustuhtton 2025“…<p>Classification of attributes in the studies examined.</p>…”
-
294
-
295
-
296
Classification performance model comparison.
Almmustuhtton 2025“…<p>Performance of the five classification models on training set (black lines) and test set (colored bars) evaluated on A) F1 scores and B) ROC-AUC scores.…”
-
297
-
298
LLM argument classification results
Almmustuhtton 2025“…<p dir="ltr">The datasets contain the results of prompting various LLM's with the goal of argument classification. For details see https://arxiv.org/abs/2507.08621</p>…”
-
299
-
300
Classification of bearing data labels.
Almmustuhtton 2025“…To address this issue, this paper proposes an improved parallel one-dimensional convolutional neural network model, which integrates a parallel dual-channel convolutional kernel, a gated recurrent unit, and an attention mechanism. The classification is performed using a global max-pooling layer followed by a Softmax layer. …”