Sentence examples for imbalanced classification from inspiring English sources

"Classification with imbalanced datasets" section includes a description for imbalanced classification, focusing on its characteristics, metrics of performance, and standard solutions.

"Addressing imbalanced classification in Big Data problems: current state" section includes an overview on those works that address imbalanced classification for Big Data problems.

As noted above, the Heart problem is an imbalanced classification problem.

The evaluation of techniques to handle imbalanced classification is planned using two measures viz.

Finally, a preliminary study regarding multi-class imbalanced classification was introduced in [48].

In recent years many solutions have been proposed to tackle imbalanced classification, yet they mainly concentrate on binary scenarios.

To prevent imbalanced classifications, we created 1000 random NG sets of size 150 each.

However, traditional SVM cannot effectively solve a complex classification problem, especially for a heterogeneous and imbalanced data classification problem.

In addition, for the imbalanced data classification problem, the samples in the boundary regions contain more classification information, thus how to measure and select these samples is particularly important.

As a general learning method, LCSDM is especially applicable to imbalanced data classification.

Then, we will enumerate some challenges and open problems in "Challenges for imbalanced Big Data classification" section.