HIGHLIGHTS
- What: Regardless of the dataset`s characteristics; the study has consistently focused on improving prediction accuracy to enable accurate diagnosis. In this work, the collected dataset was made free from outliers by using Isolation Forest first and then noted classification accuracies. To enhance the precision of predicting the prognosis of a breast cancer disease, the research primarily focuses on enhancing machine_learning models. In this study, a coherent model for outlier detection is proposed.
- Who: Technology et al. from the Education, Coimbatore, Tamil Nadu, India have published the article: INDIAN JOURNAL OF SCIENCE AND TECHNOLOGY, in . . .
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