Your English writing platform
Discover LudwigSuggestions(3)
Exact(60)
We constructed different performance evaluation strategies to fully evaluate the prediction performance of our method.
To evaluate the prediction models for each individual patient the difference between the predicted value and the actual value was plotted against their mean.
We used those values as the ground truth to train the machine learning algorithm and to evaluate the prediction of the nuclear stain intensity.
Further investigations required to comprehensively evaluate the prediction accuracy of the system are discussed.
Extensive simulations have been conducted to evaluate the prediction model as well as our clustering approach.
Blood glucose values provided by blood test are collected simultaneously to evaluate the prediction results.
So as to evaluate the prediction ability of the developed models, several statistical indices were used.
Sections IV provides different criterions used to evaluate the prediction accuracy.
However, it is in general difficult to evaluate the prediction accuracy for methods such as collaborative filtering or matrix completion.
To evaluate the prediction algorithms, we developed three measures of performance and used two different data sets (see 'Evaluation').
In the study, we employed the following measures to evaluate the prediction performance of the Weighed-Extreme Learning Machine.
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