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Showing 1 to 4 of 4 for “"Unbalanced Dataset"”.

  1. A Machine Learning Approach to Predicting the Onset of Type II Diabetes in a Sample of Pima Indian Women

    … <em> Pima Indian Women Diabetes dataset was downloaded from the Kaggle website. Different experiments were conducted on the dataset. Each</em><em> </em>machine learning algorithm was trained on unscaled data using a balanced and unbalanced dataset and again using scaled data with …

    cuny-grad Repository record for A Machine Learning Approach to Predicting the Onset of Type II Diabetes in a Sample of Pima Indian Women (opens in a new tab)

  2. Financial development, economic growth and income inequality: a panel data approach

    … (1990) was evaluated. The study employed an unbalanced dataset over the 1970 - 2014 period, involving 142 developed and developing countries. It was found that financial development increases income inequality as measured by the Gini coefficient, after controlling for country fixed effects. …

    zulu Repository record for Financial development, economic growth and income inequality: a panel data approach (opens in a new tab)

  3. Graphical and Bayesian Analysis of Unbalanced Patient Management Data

    … innovative graphics to help describe a highly unbalanced dataset and to carry out Bayesian analyses to determine which of five devices best manages patients. An initial Bayesian analysis compared a machine-identical beta-binomial model to a machine-specific beta-binomial model. The response …

    byu Repository record for Graphical and Bayesian Analysis of Unbalanced Patient Management Data (opens in a new tab)

  4. Comparison of Classification Algorithms and Undersampling Methods on Employee Churn Prediction: A Case Study of a Tech Company

    … are tested on a variety of undersampled datasets in order to find the most effective undersampling and classification method for predicting employee churn. Statistical analysis is conducted on the appropriate evaluation metrics to find the most significant methods.</p> <p>The results of …

    calpoly Repository record for Comparison of Classification Algorithms and Undersampling Methods on Employee Churn Prediction: A Case Study of a Tech Company (opens in a new tab)