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Ignition represents the average prediction precision of the fire samples, while nonignition represents the average prediction precision of the nonignition samples; total accuracy stands for the average predict precision of all samples.
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A comparison between range of predicted values at the design points and the average prediction error shows adequate precision.
The modified model presents a higher prediction precision with average relative difference of 1.24% at LFL.
Adequate precision compares the range of the predicted values at the design points with the average prediction error.
The Adequate Precision (AP) representing the error between the predicted values at the design points and the average prediction.
Adequate precision is a signal to-noise ratio, which compares the range of the predicted values at the design points to the average prediction error.
Comparing with causal prediction ways, noncausal prediction approaches can improve the prediction precision by using more neighboring samples.
BSTAR in TLEs is modified to improve prediction precision.
The cumulative effect of small gains in diameter prediction precision across a tree likely results in considerable gains in the precision of tree-level volume predictions.
The average prediction success was 0.93.
Additionally, narrow forecasting PI values reflect a high prediction precision.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com