Your English writing platform
Discover LudwigSuggestions(4)
Exact(4)
The minimum and maximum absolute percent errors are also shown.
Maximum absolute percent relative error = ({ hbox{max} }left| {text{Er}} right|).
Six statistical indicators (e.g., percent relative error, maximum absolute percent relative error, average absolute percent relative errors, percent bias, index of agreement, and Nash Sutcliffe efficiency) and relative computer computation time are used for assessing the model performance.
We evaluate the predictive power of affects using several metrics (i.e., Pearson correlation (CORR), Root Mean Squared Error (RMSE), and Maximum Absolute Percent Error (MAPE)) between predicted and true ILI values as defined in [17].
Similar(56)
For the maximum load and maximum mid-span deflection, it is observed that the Mean Absolute Percent Error (MAPE) of the prediction for the five specimens is 1.19% and 4.31% and the Normalized Mean Square Error (NMSE) is 0.0005 and 0.004, respectively.
The proposed neural network models showed high accuracy in predicting the P b, B ob, and µ ob values, and achieved the lowest relative error, lowest absolute percent relative error, lowest minimum error, lowest maximum error, and lowest standard deviation of relative error.
Mean absolute percent error.
Average absolute percent relative error.
The overall average absolute percent error is 2.4%.
The average absolute percent differences vary between 0 30%.
On average, absolute percent disparity varies between about 0 10%.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com