Reproducibility as a Measure of Confidence
Unsupervised machine learning grapples with the challenge of evaluating models in the absence of ground truth or labeled data. To circumvent this, researchers often rely on evaluating downstream tasks that provide some ground truth, allowing for an indirect assessment of model efficacy.
Read article →