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An innovative system designed to enhance communication for individuals using sign language. Developed in Python, the system leverages a Random Forest classifier to accurately interpret hand movements ...
So, we added each data transformation step (e.g. bag-of-word, TF-IDF, SVC) and classifier (e.g. Naive Bayesian, SVM, Random Forest Classifier) into an instance of class Pipeline. After applying those ...
Firstly, a Linear Model is fitted on the whole dataset, then a Random Forest is trained on the same dataset but using the residuals of the previous steps as target. The final predictions are the sum ...
The use of random forests Classification in medical decision support for diagnosing diseases is investigated in this study. Based on interpretivism, the study uses a design that is descriptive in ...