Hybrid performance measures and mixed evaluation method for data classification problems
This study investigates two different issues of performance measure in data classification problem. First, this study examines the use of accuracy measure as a discriminator for building an optimized Prototype Selection (PS) algorithm. Second, this study evaluates the current evaluation practices fo...
Saved in:
主要作者: | Hossin, Mohammad |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2012
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/33140/1/FSKTM%202012%2022.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Semi-supervised learning for feature selection and classification of data /
由: Ganesh Krishnasamy
出版: (2019) -
Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
由: Sleabi, Waleed Dhhan
出版: (2016) -
Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
由: Ali Yahya, Anwar
出版: (2007) -
Curved text detection and ground truth generation for natural scene images /
由: Ch'ng, Chee Kheng
出版: (2018) -
A voting-based hybrid machine learning approach for fraudulent financial data classification /
由: Kuldeep Kaur Ragbir Singh
出版: (2019)