Your English writing platform
Discover LudwigExact(4)
In the present binary classification scheme a 2x2 matrix was deployed to predict the class with the minimum expected misclassification cost setting.
Cost-sensitivity can be achieved in two ways - the reweighting of the training instances according to the total cost assigned to each class or predicting the class with the minimum expected misclassification cost.
In Weka, two methods are used to introduce cost-sensitivity - the reweighting of the training instances according to the total cost assigned to each class in the cost matrix or predicting the class with the minimum expected misclassification cost using the values in the cost matrix.
The first is reweighting of training instances according to the total cost assigned to each class in the cost matrix, and the second is predicting the class with the minimum expected misclassification cost by using the values in the cost matrix [ 37].
Similar(56)
Splitting off the wholesale unit would be the minimum expected".
Minimum expected sales quantity of buyer j.
The minimum expected count is.06.06
This will yield a schedule of minimum expected length.
Our minimum expected pair rate is about 52 pairs s−1.
The minimum expected count is 3.51.
Est kb = Minimum expected kb distance for the given length.
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