Using previous data, this paper uses five models of support vector machine, K-nearest neighbor, naive bayes, convolutional neural network and decision tree in machine learning algorithms to predict ...

This study aimed to classify tomatoes based on their colorimetric characteristics, which influence consumer purchasing potential, using the decision tree algorithm ... Schematic diagram of the image ...

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All calculations and analyses were carried out in Python V.3.12 within Jupyter Notebook, using libraries ... and robustness of predictions. It helps to reduce overfitting compared with a single ...

Abstract: The purpose of this work is to build a salary prediction system ... logistic regression, decision tree, Naive Bayes classifier, K-nearest neighbor, and support vector machine. We implement ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...