r-cran-rose
GNU R random over-sampling examples
Functions to deal with binary classification
problems in the presence of imbalanced classes. Synthetic balanced samples are
generated according to ROSE (Menardi and Torelli, 2013).
Functions that implement more traditional remedies to the class imbalance
are also provided, as well as different metrics to evaluate a learner accuracy.
These are estimated by holdout, bootstrap or cross-validation methods.
r-cran-stablelearner
Stability Assessment of Statistical Learning Methods
Graphical and computational methods that can be used to assess the
stability of results from supervised statistical learning.
r-cran-unbalanced
GNU R racing for unbalanced methods selection
A dataset is said to be unbalanced when the class of interest (minority
class) is much rarer than normal behaviour (majority class). The cost of
missing a minority class is typically much higher that missing a
majority class. Most learning systems are not prepared to cope with
unbalanced data and several techniques have been proposed. This package
implements some of most well-known techniques and propose a racing
algorithm to select adaptively the most appropriate strategy for a given
unbalanced task.
r-cran-whoami
username, full name, email address in GNU R
Look up the username and full name of the current user,
the current user's email address and 'GitHub' username,
using various sources of system and configuration information.
google-android-platform-25-installer
Google's Android SDK Platform 25 Installer
This package will download the Google's Android SDK Platform 25 package and
unpacks it into Debian-friendly paths.
lib32stdc++-13-dev-mips64el-cross
GNU Standard C++ Library v3 (development files) (mips64el
This package contains the headers and static library files necessary for
building C++ programs which use libstdc++.