Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
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Abstract (arXiv)
Prognostication of medical problems using the clinical data by leveraging the Machine Learning techniques with stellar precision is one of the most important real world challenges at the present time. Considering the medical problem of Polycystic Ovary Syndrome also known as PCOS is an emerging problem in women aged from 15 to 49. Diagnosing this disorder by using various Boosting Ensemble Methods is something we have presented in this paper. A detailed and compendious differentiation between Adaptive Boost, Gradient Boosting Machine, XGBoost and CatBoost with their respective performance metrics highlighting the hidden anomalies in the data and its effects on the result is something we have presented in this paper. Metrics like Confusion Matrix, Precision, Recall, F1 Score, FPR, RoC Curve and AUC have been used in this paper.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 2 of its 14 references that are in the map. First posted on arXiv 2 Jan 2022.
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2 of 14 references.
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Citing papers per year: 2022: 8; 2023: 1.
9 papers.
- 2022Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognosticationcited by 9
- 2022Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Methodcited by 8
- 2022Combining Varied Learners for Binary Classification using Stacked Generalizationcited by 4
- 2022Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Networkcited by 2
- 2022Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classificationcited by 2
- 2022Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methodscited by 1
- 2022Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classificationcited by 0
- 2022Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressorcited by 0
- 2023Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classificationcited by 0
- 2023Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification25 Mar 2023
- 2022Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor24 Aug 2022
- 2022Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification5 Jun 2022
- 2022Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods2 Jun 2022
- 2022Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification25 May 2022
- 2022Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network19 Apr 2022
- 2022Combining Varied Learners for Binary Classification using Stacked Generalization17 Feb 2022
- 2022Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method15 Feb 2022
- 2022Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication9 Jan 2022