• nproc

  • Referenced in 1 article [sw36077]
  • Characteristic (NP-ROC) Curves. In many binary classification applications, such as disease diagnosis and spam...
  • CoMIK

  • Referenced in 1 article [sw35270]
  • identifies not just the features useful towards classification but also their locations in the variable ... evidenced by the results of three binary classification experiments, aided by recently introduced visualization techniques...
  • TangentBoost

  • Referenced in 1 article [sw29974]
  • causes mislabeling of observations in the statistical classification. In this paper, there is a correction ... algorithm is useful for binary classification...
  • RENT

  • Referenced in 1 article [sw39621]
  • feature selection method for binary classification and regression problems. At its core RENT trains...
  • LLM

  • Referenced in 1 article [sw24731]
  • Logit Leaf Model Classifier for Binary Classification. Fits the Logit Leaf Model, makes predictions...
  • WeightedROC

  • Referenced in 1 article [sw40357]
  • Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values...
  • DAP

  • Referenced in 1 article [sw27162]
  • Projections (DAP) method for high-dimensional binary classification in the case of unequal covariance matrices...
  • kernelFactory

  • Referenced in 1 article [sw24759]
  • Factory: An Ensemble of Kernel Machines. Binary classification based on an ensemble of kernel machines...
  • UBL

  • Referenced in 1 article [sw14862]
  • mechanisms to handle both regression and classification (binary and multiclass) tasks. Moreover, UBL package allows...
  • fastAdaboost

  • Referenced in 1 article [sw33873]
  • data. Currently, we support only binary classification tasks. The package implements the Adaboost.M1 algorithm...
  • propOverlap

  • Referenced in 1 article [sw33153]
  • features (genes) in the high-dimensional binary classification problems. The discriminative features are identified using...
  • Information

  • Referenced in 1 article [sw33583]
  • data analysis and variable screening for binary classification models using weight-of-evidence...
  • GsymPoint

  • Referenced in 1 article [sw40264]
  • Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test...
  • SalGAN

  • Referenced in 1 article [sw28155]
  • discriminator network trained to solve a binary classification task between the saliency maps generated...
  • ebmc

  • Referenced in 1 article [sw32595]
  • class imbalance problem are implemented for binary classification. Such methods adopt ensemble methods and data...
  • problexity

  • Referenced in 1 article [sw42786]
  • open-source Python library for binary classification problem complexity assessment. The classification problem’s complexity...
  • abess

  • Referenced in 1 article [sw40395]
  • best subset under: linear regression, classification (binary or multi-class), counting-response modeling, censored-response...
  • DeepSentiPers

  • Referenced in 1 article [sw32537]
  • terms of both multiple and binary classification. So in this work, first we propose...
  • DeepDTA

  • Referenced in 1 article [sw39159]
  • predict DT interactions have focused on binary classification, where the goal is to determine whether...
  • BinaryNet

  • Referenced in 21 articles [sw35872]
  • Last but not least, we wrote a binary matrix multiplication GPU kernel with which ... kernel, without suffering any loss in classification accuracy. The code for training and running...