Cross-validation with the concordance index is used for model comparison. It is found that gradient boosting machines and random survival forests perform best on this application.doi:10.1063/5.0076867R. P. GokulGeorg GutjahrAIP Conference Proceedings...
We also see from Table1that OCT is an impressively efficient learning algorithm. Firstly, the OCT agent is able to play significantly better than CART agent, despite both agents being trained to the same depth and having the same final structure—that is, a decision tree. We therefore see th...
The results in Table 2 were calculated with these numbers. Table 2. Comparison and evaluation of the different algorithms with R-studio and RapidMiner. Empty CellR-StudioRapidMiner Algorithms ACC SE SP PPV NPV AUC ACC SE SP PPV NPV AUC Decision tree Model A 84 8 98 48 85 0.53 85 3 99...
For a more in-depth look, check out our comparison guides on AI vs machine learning and machine learning vs deep learning. AI refers to the development of programs that behave intelligently and mimic human intelligence through a set of algorithms. The field focuses on three skills: learning,...
Also prepared data to fit into data mining algorithms and evaluated predictions in R tool. Here we have trained 5 different algorithms with repeated cross validation with 10 folds and 3 repeats and compared. There are many comparison methods and here we have used Summary table, Box and Whiskers...
Table 2 Comparison of methods for finding the Pareto frontier and the feasibility region Full size table 7.1 Brute-force algorithm We begin by describing the brute-force algorithm for reference. The brute-force algorithm will compute not only the points that determine the Pareto frontier but all ...
This is the easiest comparison that you can do, simply call the summary function() and pass it the resamples result. It will create a table with one algorithm for each row and evaluation metrics for each column. In this case we have sorted. ...
Comparison of Machine Learning Methods: Experiments and Results byhashfunction Jul 05, 2024 #natural-language-processing Comparison of Machine Learning Methods: Abstract and Introduction byhashfunction Jul 05, 2024 #natural-language-processing Join HackerNoon ...
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 ...