Mixed Breed Ensemble Method for Mushroom Classification
Nagarjuna Reddy Seelam, Korampalli Sirisha, Hema Navya Akunuru, Deena Ballipara, Anurag Prabath G · 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · 2022
In the field of data analytics, machine learning and deep learning plays a crucial role. In machine learning one of the popular techniques is classification. In recent times, to improve the accuracy of a model, they combined different base model algorithm results into one solution using ensemble learning. Ensemble learning is the finest option to improve the accuracy of classification task. This proposed model adopts heterogeneous ensemble learning technique to classify the mushroom by combining different base classification algorithms like support vector machine, K-Nearest Neighbor and Random Forest classifier. Performance evaluation shows that proposed model outperforms homogeneous ensemble classifier with high accuracy.