• HandTill2001

  • Referenced in 60 articles [sw11200]
  • costs of the different kinds of misclassification. However, the simple form is only applicable ... give costs for the different kinds of misclassification...
  • AdaCost

  • Referenced in 25 articles [sw33192]
  • AdaCost: Misclassification cost-sensitive boosting. AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive ... boosting method. It uses the cost of misclassifications to update the training distribution on successive ... purpose is to reduce the cumulative misclassification cost more than AdaBoost. We formally show that ... AdaCost reduces the upper bound of cumulative misclassification cost of the training set. Empirical evaluations...
  • abc

  • Referenced in 34 articles [sw14871]
  • estimates, and to calculate the misclassification probabilities of different models...
  • MixSim

  • Referenced in 26 articles [sw07914]
  • overlap, defined as a sum of two misclassification probabilities, measures the degree of interaction between...
  • tree

  • Referenced in 16 articles [sw11163]
  • find the deviance or number of misclassifications as a function of the cost-complexity parameter...
  • ada

  • Referenced in 15 articles [sw09505]
  • rules with ”mediocre” performance in terms of misclassification error rate to produce a highly accurate...
  • ENDER

  • Referenced in 14 articles [sw12831]
  • with respect to the trade-off between misclassification (discrimination) and coverage (completeness) of the rule...
  • rpartScore

  • Referenced in 5 articles [sw14366]
  • Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared ... response. Pruning is based on the total misclassification rate or on the total misclassification cost...
  • Foolbox

  • Referenced in 2 articles [sw20935]
  • allows different adversarial criteria such as targeted misclassification and top-k misclassification as well...
  • Daim

  • Referenced in 2 articles [sw12313]
  • bootstrap estimation of the misclassification rate, sensitivity, specificity and AUC. If an application is computationally...
  • episensr

  • Referenced in 2 articles [sw15562]
  • relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows...
  • augSIMEX

  • Referenced in 1 article [sw32773]
  • Data with Mixed Measurement Error and Misclassification in Covariates. Implementation of the augmented Simulation-Extrapolation ... data with mixed measurement error and misclassification. The main function provides a similar summary output...
  • ProbExplorer

  • Referenced in 1 article [sw18625]
  • suspicious regions (e.g. tumors) and correct the misclassification results using a novel uncertainty-based segmentation...
  • VR-BFDT

  • Referenced in 1 article [sw22448]
  • predicted label of the instance and finally misclassification. In this paper, a variance reduction based...
  • TangentBoost

  • Referenced in 1 article [sw29974]
  • addition, TangentBoost gives penalties not only misclassification but also true classification margin in order...
  • poisDoubleSamp

  • Referenced in 1 article [sw30133]
  • Poisson rates under one-way differential misclassification using double sampling. Wald, profile likelihood, and marginal...
  • BayesMFSurv

  • Referenced in 1 article [sw33201]
  • split population survival estimator that models the misclassification probability of failure versus right-censored events...
  • misclassGLM

  • Referenced in 0 articles [sw16680]
  • that extend the standard GLM to take misclassification into account. The models require side information ... from a secondary data set on the misclassification process, i.e. some sort of misclassification probabilities...
  • Biocomb

  • Referenced in 0 articles [sw15143]
  • estimate the classifier performance under unequal misclassification costs problem. Biocomb has the special function...