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The interactive part of the processing chain is therefore limited to land cover class labelling of object clusters.
Recall measures the fraction of correctly labelled positive examples, precision describes the correctness of positive instances prediction, whereas MCC is a balanced measure of binary classification effectiveness, ranging from −1 to 1, where 1 corresponds to error-free class labelling and −1 to reverse classification [7, 35].
A star indicates that a group of genes exhibit differential co-expression between two different class labelling; in this case to the control and MS groups only.
The aCGH BRCA1-score was considered as the gold standard and it was used for class labelling.
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It gets that class label.
The final model predicts the class labels.
The consequence part of each rule is one class label.
It achieves this by integrating class label information within the dimension reduction process.
In multiple-instance learning (MIL), class labels are attached to bags instead of instances, and the goal is to predict the class labels of unseen bags.
The decision block identifies that intermediate neuron which fires first and returns the class label associated with that neuron as the predicted class label.
Each network was trained using the extracted training patches and their class labels as inputs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com