11 datasets found

Tags: imbalanced data

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  • Hellinger Distance Weighted Ensemble

    The Hellinger Distance Weighted Ensemble (hdwe) method for batch learning and the binary classification data stream with occurring concept drifts and the imbalance among classes.

  • ImbR

    The ImbR data set consists of regression data set with 1000 cases and two features, X1 (numeric) and X2 (numeric). The target variable, denoted as Tgt, has a continuous...

  • ImbC

    The ImbC data set consists of multiclass classification data set with 1000 cases and two features, X1 (numeric) and X2 (nominal). The target variable, denoted as Class, has two...

  • Boosted SVM for Extracting Rules from Imbalanced Data

    Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients.

  • Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Clas...

    Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE)...

  • NO2

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • CpuSm

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Boston

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Bank8FM

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Abalone

    The Abalone dataset has 4177 observation 8 covariates. Sex is a nominal variable with 3 categories: Male, Female and Infant. Length (mm) is the longest shell measurement,...

  • SML2010 Data Set

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.
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