Despite numerous attempts to determine the appropriate re-sampling proportion in each class by using a trial-and-error method in order to construct a classification model with imbalanced data (Barandela, Vadovinos, Sánchez, & Ferri, 2004; He, Han, & Wang, 2005; Japkowicz, 2000; McCarthy, Zabar, & Weiss, 2005), the optimal strategy for each class may be infeasible when using such a method.
Because Ancova based on linear model with imbalanced data produced numerous difficulties [28], we used the most appropriate statistical tool, i.e., a mixed model with the following fixed effects: protocol factor, diving, individual factors such as age, weight, etc. and characteristics of the dive profile (e.g., duration of the dive, water temperature, etc).
As the epitopes prediction was an imbalanced problem, Zhang et al. [ 18] built an ensemble model using bootstrap technique to deal with imbalanced datasets.
We model RADAR as a binary classification problem with imbalanced data, which classifies each dependency parsing arc as correct or incorrect.
Focused on regression modeling between those two types of process variables with imbalanced sampling values, this paper develops a semisupervised form of the Probabilistic Partial Least Squares (PPLS) model.
On the basis of the dynamic equations of the Jeffcott rotor stator model with imbalance, the reliability sensitivity of the rotor stator systems with rubbing is examined.
In this study, we develop a specific DGC model namely Imbalanced DGC (IDGC) model for imbalanced problems.
Other models with focus on imbalance between work-related efforts and rewards [ 5] or on organisational and procedural factors [ 6] have so far received less attention in observational studies addressing risk of mental disorders.
However, learning Naïve Bayes classifiers from bootstrap replicates will not always lead to sufficiently "diverse" models, especially for problems with highly imbalanced distributions.
This study aims at designing a modelling architecture to deal with the imbalanced data relating to the production of rails.
