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++.