GitHub / ablanco1950 / HASTIE_NAIVEBAYES
HASTIE_NAIVEBAYES: from the Hastie_10_2.csv file obtained by the procedure described in https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html, obtains a success rate in the training of 88% and 84% in the test. The main difference is that in the statistical process, each field is sampled differently according to its contribution to the hit rate.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ablanco1950%2FHASTIE_NAIVEBAYES
PURL: pkg:github/ablanco1950/HASTIE_NAIVEBAYES
Stars: 0
Forks: 0
Open issues: 0
License: other
Language: Java
Size: 1010 KB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: hastie, machine-learning, naive-bayes