[PDF][PDF] Breast cancer prediction model with decision tree and adaptive boosting
TA Assegie, RL Tulasi, NK Kumar - IAES International Journal of …, 2021 - naac.spiher.ac.in
In this study, breast cancer prediction model is proposed with decision tree and adaptive
boosting (Adboost). Furthermore, an extensive experimental evaluation of the predictive
performance of the proposed model is conducted. The study is conducted on breast cancer
dataset collected form the kaggle data repository. The dataset consists of 569 observations
of which the 212 or 37.25% are benign or breast cancer negative and 62.74% are malignant
or breast cancer positive. The class distribution shows that, the dataset is highly imbalanced …
boosting (Adboost). Furthermore, an extensive experimental evaluation of the predictive
performance of the proposed model is conducted. The study is conducted on breast cancer
dataset collected form the kaggle data repository. The dataset consists of 569 observations
of which the 212 or 37.25% are benign or breast cancer negative and 62.74% are malignant
or breast cancer positive. The class distribution shows that, the dataset is highly imbalanced …
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