{ "_id": "6a1efdbcb401979e73419c4e", "Package": "SMOTEWB", "Type": "Package", "Title": "Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)", "Version": "1.2.5", "Authors@R": "c(person(\"Fatih\", \"Saglam\", email = \"saglamf89@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-2084-2008\")))", "Description": "Provides the SMOTE with Boosting (SMOTEWB) algorithm. See\nF. Sağlam, M. A. Cengiz (2022)\n. It is a SMOTE-based\nresampling technique which creates synthetic data on the links\nbetween nearest neighbors. SMOTEWB uses boosting weights to\ndetermine where to generate new samples and automatically\ndecides the number of neighbors for each sample. It is robust\nto noise and outperforms most of the alternatives according to\nMatthew Correlation Coefficient metric. Alternative resampling\nmethods are also available in the package.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "make", "Repository": "https://fatihsaglam.r-universe.dev", "Date/Publication": "2025-10-20 05:08:09 UTC", "RemoteUrl": "https://github.com/fatihsaglam/smotewb", "RemoteRef": "HEAD", "RemoteSha": "164af2621cae2b5975eea1b940deb7941a95120f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 09:47:55 UTC", "User": "root" }, "Author": "Fatih Saglam [aut, cre] (ORCID:\n)", "Maintainer": "Fatih Saglam ", "MD5sum": "73166ad7cd625e5feb52df950bbee80f", "_user": "fatihsaglam", "_type": "src", "_file": "SMOTEWB_1.2.5.tar.gz", "_fileid": "f5da2c1c1445aa524543e0bd16f0a244bf6be527a3e0607bd59b19b0daa527dc", "_filesize": 163627, "_sha256": "f5da2c1c1445aa524543e0bd16f0a244bf6be527a3e0607bd59b19b0daa527dc", "_created": "2026-05-18T09:47:55.000Z", "_published": "2026-06-02T15:58:52.137Z", "_distro": "noble", "_jobs": [ { "job": 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