Author/s: Pankaj Kumar Singh, Hitesh Kumar, Dr. Senbagavalli M
Alliance University Bangalore, India.
Alliance University Bangalore, India.
Publication: GIS Science Journal Volume 8, Issue 3 Page No: 44-51
Abstract: Random forest classifier which is mostly used in the era of machine learning with classifiers, which has more accuracy while transmission of the line image processing of the model. The main aim of this paper is to classify mushroom which is safe to eat and poisonous. The process of classifying the edible or poisonous mushrooms is by using the specification or the features and color of the mushroom cap. We have used the Random Forest classifier algorithm with the help confusion matrix we are able training the dataset to identify the required features with the accuracy of 100%.
