Global ETD Search
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Showing 1 to 4 of 4 for “"Imbalance Data"”.
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Predicting an Economic Recession Using Machine Learning Techniques
… to establish the relevant method for addressing imbalance data with suitable features selection strategy to enhance the performance of the machine learning algorithm developed. Furthermore, artificial neural network(ANN) and Random Forest (RF) were used in predicting economic recession using ML …
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Coupled similarity analysis in supervised learning
… algorithms. When calculating the categorical data similarity, the strategy used by the traditional classifiers often overlooks the inter-relationship between different data attributes and assumes that they are independent of each other. This can be seen, for example, in the overlap similarity …
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Evaluating Factors Contributing to Crash Severity Among Older Drivers: Statistical Modeling and Machine Learning Approaches
… introduced by the COVID-19 pandemic. Utilizing a dataset from Virginia, USA, the research integrates advanced statistical methods and machine learning techniques to dissect this critical issue from multiple angles. The initial study within the dissertation employs multilevel ordinal logistic …
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A Study on Data Imbalance: Using Metrics on Input Data to Foresee Bias and Fairness in Classification Outcomes
Abstract presente tra gli allegati