Abstract: This paper aims to investigate the efficacy of EEG-based stress detection using a Random Forest classifier during the Stroop Test, a key psychological assessment probing cognitive functions ...
Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.
Note: This pseudocode is an original educational +implementation based on Leo Breiman’s seminal 2001 paper introducing +Random Forests and general algorithmic principles from computer science ...
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