The Use of Principal Component Analysis and Logistic Regression in Prediction of Infertility Treatment Outcome
Principal Component Analysis is one of the data mining methods that can be used to analyze multidimensional datasets. The main objective of this method is a reduction of the number of studied variables with the mainte- nance of as much information as possible, uncovering the structure of the data, i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2014-12-01
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| Series: | Studies in Logic, Grammar and Rhetoric |
| Online Access: | https://doi.org/10.2478/slgr-2014-0043 |