Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset

no code implementations • 8 Mar 2014 • Mehdi Naseriparsa, Mohammad Mansour Riahi Kashani

In the first step PCA is applied on Lung-Cancer dataset to compact the dataset and eliminate irrelevant features and in the second step SMOTE resampling is carried out to balance the class distribution and increase the variety of sample domain.

Dimensionality Reduction General Classification