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7 results for "Random Forest"
  This study aimed to illustrate how to exploit George Lakoff and Mark Johnson’s concepts presented in their book “Metaphors We Live By” to teach metaphors to second-year baccalaureate educators in th
Alzheimer DiseaseRandom ForestEntropy-based Subset SelectionMachine Learning.
Severe microalgae blooming is detrimental towards human life and the aquatic ecosystem in which it is blooming uncontrollably in. Chlorophyll concentration is a common parameter used to predict microa
TransmutationReproductionWomenSouthern/West Cameroon(s)Midwifery
Alzheimer Disease (AD) is a neurogenerative disorder that progressively damages the nervous system. Early detection of AD is crucial, as it allows patients to receive therapy at an earlier stage, help
Alzheimer DiseaseRandom ForestEntropy-based Subset SelectionMachine Learning.
Predicting household energy consumption is becoming increasingly important as we strive to manage energy costs and support environmental sustainability. This study takes a close look at how the random
Random ForestPredictionEnergy ConsumptionComparisonMachine LearningAccuracy.
Damage to buildings often occurs, and one of the causes is natural disaster such as earthquakes. Earthquakes frequently result in significant damage to buildings, causing financial losses due to damag
Accumulationcultural valuesexport productsVietnam
This research focuses on identifying risk zones by applying the Random Forest algorithm to predict the probability of earthquakes in Indonesia. The selection of this algorithm is based on its capacity
BureaucracyGovernmentParamedicalImpersonalPatronage
The use of Android devices nowadays is almost inevitable. Having been able to get a big slice of the mobile operating systems, Android has become a wide target for malware attacks. Malware detection a
🗓 Oct 2018pp. 624-633View Article →