| Name : R-shatteringdt
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| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.3.12
| Date : 2024-06-14 12:05:10
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| Group : Development/Libraries/Other
| Source RPM : R-shatteringdt-0.1.0-lp153.3.12.src.rpm
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| Size : 0.03 MB
| |
| Packager : (none)
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| Summary : Provide SLT Tools for \'rpart\' and \'tree\' to Study Decision Trees
|
Description :
Learning, in Machine Learning (ML) area, is one of the most important
steps in the construction of algorithms that seek to predict a certain
task, whether this is the classification of objects, the forecast of
demand for a specific product or even the diagnosis of malignant
diseases. In ML, we can study supervised (which have a label, e.g., a
class) and unsupervised algorithms, used for tasks such as pattern
detection, grouping, among others that do not depend directly on a
label. Knowing this, the present work aims to carry out the study of
different supervised learning algorithms, in this case, the
classification algorithms, more specifically Decision Trees, to carry
out an analytical study about the steps that make up the learning
process of the algorithm, exploring concepts of the statistical
learning theory (SLT) that provide tools for studies and allow to prove
issues such as the guarantee of learning of a certain algorithm.
Reference: Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert
Bifet: \"Measuring the Shattering coefficient of Decision Tree models\".
Expert Syst. Appl. 137: 443-452 (2019)< DOI:10.1016/j.eswa.2019.07.012>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
