In this project, several machine learning techniques are used to identify and filter players of the videogame League of Legends who post in this manner. The algorithms were trained and tested based on a corpus of data that the student researcher extracted from a freely available online record of...
The Comparison of Machine Learning Algorithms on Online Classification of Network FlowsOnline classificationnetwork flowstatistical featurefeature selectionclassifierOnline classification of network flows is a process that captures packets generated by network applications and identifies types of network applications...
You can zoom in on one pair-wise comparison of the accuracy of trial-folds for two machine learning algorithms with an xyplot. 1 2 # xyplot plots to compare models xyplot(results,models=c("LDA","SVM")) In this case we can see the seemingly correlated accuracy of the LDA and SVM model...
E. Puertas, Comparison of machine learning algorithms for the prediction of coronary heart disease by using the Framingham data set, GitHub Inc. URL <https://github.com/epuertas/framingham_Rapidminer> (published on March 22, 2019), Updated on March 22, 2019, (accessed on March 22, 2019)....
we treat the problem as a text classification challenge. We leverage machine learning algorithms and natural language processing techniques to analyze and classify the text data of the issues. By applying these techniques, we are able to extract relevant information from the issue descriptions, such ...
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia[J]. Geoscience Frontiers, 2021, 12(2): 639-655. DOI: 10.1016/j.gsf.2020.05.010 Citation: Ahmed Mohamed Youssef, Hamid Reza Pourghasemi. Landslide ...
Comparison of machine learning algorithms to classify web pages. (ijacsa) Int. J. Adv. Comput. Sci. Appl., 8 (11) (2017), 10.14569/IJACSA.2017.081127 Google Scholar [2] R. Agarwal, P. Sagar A comparative study of supervised machine learning algorithms for fruit prediction J. Web Dev. We...
A total of eight machine learning methods were used in an effort to reproduce and compare to results presented in the 2010 paper “An Empirical Comparison of Machine Learning Models for Time Series Forecasting.” They were: Multi-Layer Perceptron (MLP) ...
An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran & Jose L. Contreras-Vidal Scientific Reports volume 10, Article number: 4372 (2020) Cite this article 10k Accesses 61 Citations...
Table 1 Learning algorithm comparison—mbb/g over 150,000 games of HUNL Poker for each poker agent pairing Full size table 4The effect of self-play time In Fig.5, we depict the evolution of the XGBoost poker agent’s performance as a function of the time the CFR self-play algorithm was...