"Adaptive Boost Classifier" · 2 results · Global ETD Search

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Showing 1 to 2 of 2 for “"Adaptive Boost Classifier"”.

Enhancing Telecom Churn Prediction: Adaboost with Oversampling and Recursive Feature Elimination Approach

Tran, Long Dinh2023

… Machine, Decision Tree, Random Forest, and AdaBoost.</p> <p>The study is segmented into three sets of experiments, each focusing on a different approach to building the churn prediction model. The model is constructed using the original training set in the first set of experiments. The second …

calpoly Repository record for Enhancing Telecom Churn Prediction: Adaboost with Oversampling and Recursive Feature Elimination Approach (opens in a new tab)
Understanding and predicting pulmonary exacerbations in Cystic Fibrosis using Machine Learning

Sutcliffe, DamianUniversity of Cambridge2022

… developed a supervised ML model (the Predictive Classifier) that was able to predict the onset of APEs with 83.6% reliability, and on average 9.5 days earlier than current clinical practice. For this reseach, I leveraged the SmartCareCF study home monitoring data-set, and importantly, I was also …

cambridge Repository record for Understanding and predicting pulmonary exacerbations in Cystic Fibrosis using Machine Learning (opens in a new tab)