Statlog: comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence , 9(3):289–334, 1995.R. King, C. Feng, and A. Sutherland, „STATLOG: comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence, 9(3):289–...
Using a total of 7 large Illumina Infinium 27k Methylation data sets, encompassing over 1,000 samples from a wide range of tissues, we here provide an evaluation of popular feature selection, dimensional reduction and classification methods on DNA methylation data. Specifically, we evaluate the eff...
However, the choice of the most suitable algorithm becomes increasingly difficult. In this paper, we present the comparison of decision tree algorithms using Waikato environment for knowledge analysis. The aim is to investigate the performance of data classification for a set of a large data. The ...
There are three key issues about online classification: observation window size, feature selection, and classification algorithms.In this paper, by collecting five types of typical network flow data as the experiment sample data, the authorsfound observation window size 7 is the best for the sample...
The classification of table olive in different quality categories is performed depending on the defects in the surface of the fruits. However, the characteristics of every category are not defined. Then, it is necessary to apply learning algorithms that allow the extraction of quality information fro...
Previous studies of Brain Computer Interfaces (BCI) based on scalp electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for lower limb movements during walking. In this computational study, we investigated offline decodin
摘要: Current benchmark reports of classification algori 关键词: Classification benchmarking Classifier comparison Classifier evaluation 年份: 2017 收藏 引用 批量引用 报错 分享 全部来源 求助全文 国家科技图书文献中心 (权威机构) 来源期刊 Expert Systems with Application 站内活动 ...
They used RF to determine the quality of fermented beans and proposed it as a cut-test by using digital Red, Green and Blue (RGB) imagess. Sanl et al. evaluated the performance on different datasets using KNN, J48, SMO, NB, NBM, BAGGING and JRIP classification algorithms (Sanlı et ...
K Nearest Neighbor is one of the simplest method for classification as well as regression problem. That is the reason it is widely adopted. KNN is a superv... T Kumar - IEEE 被引量: 4发表: 2015年 Comparison of various classification algorithms on iris datasets using weka Classification is...
We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning ...