Dataset Modification to improve ML algorithm performance and speed
% SALE
Dataset Modification to improve ML algorithm performance and speed
% SALE
% SALE
Description
We propose two pre-processing steps to classification that apply convex hull- based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a clustering algorithm combined with a convex hull-based approach that re-labels the dataset with a new and expanded class structure. We demonstrate how this performance- improvement algorithm helps boost the accuracy results of Naive Bayes in some, but not all, cases that use real-world datasets.
Product details
- Type:
- Book
- Binding:
- Paperback
- Languages:
-
Original:
English
- Number of Pages:
-
72
- Publisher:
-
LAP LAMBERT Academic Publishing
- Publication Date:
-
2021-12-27
- ISBN / EAN:
-
9786204733418
- Weight:
-
125 g
- Dimensions:
-
15/22/1 cm
Die gelieferte Auflage kann ggf. abweichen.
Currently sold out
Back in stock email
Add to Wishlist
