AUROC measures how well a model separates outcome Y from non-Y.
A curve closer to the upper-right corner signals high sensitivity and specificity, while the inverted bell-curve of outcome Y reveals the clarity of that separation.
Interactive ROC Curve Visualizer,
Web Application
Visualizes how a neural network forms a regression curve using both x and x². Shows that x must be included with x² as both shape the prediction and explain how the model learns the true pattern of Y.
MetaStatCalculator transforms incomplete study data into meta-analysis–ready numbers—calculating change scores, pooling subgroups, deriving or estimating SDs, and combining item scales—to make evidence synthesis faster, accurate, and complete.
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