Proposed fitness functions tackle the problem of unbalanced breast cancer data classification. •. F2 score gives more weight age to minority classes. Abstract.
Proposed fitness functions tackle the problem of unbalanced breast cancer data classification. •. F2 score gives more weight age to minority classes. Abstract.
Unbalanced Breast Cancer Data Classification Using Novel Fitness Functions in Genetic Programming. August 2019; Expert Systems with Applications 140(14):112866.
May 2, 2019 · Unbalanced Breast Cancer Data Classification Using Novel Fitness Functions in Genetic Programming. Journal Pre-proof. Unbalanced Breast Cancer ...
Accuracy is not a good metric to assess the results of ML models on breast cancer dataset because of biased results. To address this issue, we use Genetic ...
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In this paper, a novel fitness function in Genetic Programming, for medical data classification has been proposed that handles the problem of unbalanced data.
Aug 14, 2019 · “Unbalanced Breast Cancer Data Classification Using Novel Fitness Functions in Genetic Programming”, Expert Systems With Applications, ...
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data ... A knowledge-based system for breast cancer classification ...
Sep 11, 2023 · This research work assesses the impact of weight factors in GP's fitness function for imbalanced data classification. For this assessment, eight ...
Feb 13, 2023 · In 2020, Devarriya et al. [11] proposed two fitness functions for Genetic Programming. These were used for breast cancer classification, and ...