A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...
The imbalance shift from one LD to another. The color map counts the number of instances over two LDs on Zappos. The numerical values annotated on the colored blocks in the figure represent values ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Augmenting clinician workflow to enable delivery of guideline concordant cancer care with an LLM-based system. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...
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