Author : Arjun Paliwal 1
Date of Publication :13th May 2020
Abstract: In this paper we proposed a predictive model to develop which recognizes the fruits to replace the manual recognition system.Model is trained on a dataset which contains features mass ,colour ,size, height, width.There are four classification algorithmsnamely Naive Bayes, K Nearest Neighbour, Decision Tree and Logistic Regression which are used in this experiment. The performances of all the algorithms are evaluated on measure accuracy. Results obtained shows that K-Nearest Neighbour outperforms the best on the measure accuracy.
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