Abstract: This work aimed to determine and propose a teacher classification methodology based on criteria evaluated by students using a methodology based on Machine Learning. For this purpose, 114 ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: This study aims to classify anxiety disorders in adolescents using three machine learning algorithms, namely naive bayes, C4.5, and K-Nearest Neighbor (K-NN). The data used was taken from ...
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