A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
Delhi Technological University
Abstract
Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data and knowledge. Lately, it has been adopted for text detection, hate speech detection, recommender system, face detection, and more. In this paper, majorly all the aspects concerning five machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision Tree (DT) , and Long Short Term Memory (LSTM) network have been discussed in great detail which is a prerequisite…
Citation impact
- FWCI
- 91.84
- Percentile
- 100%
- References
- 65
Authors
3Topics & keywords
- Computer science
- Machine learning
- Support vector machine
- Artificial intelligence
- Algorithm
- Decision tree
- k-nearest neighbors algorithm
- Field (mathematics)
- Peace, Justice and strong institutions