• HandTill2001

  • Referenced in 69 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 29 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 42 articles [sw14871]
  • estimates, and to calculate the misclassification probabilities of different models...
  • MixSim

  • Referenced in 34 articles [sw07914]
  • overlap, defined as a sum of two misclassification probabilities, measures the degree of interaction between...
  • tree

  • Referenced in 18 articles [sw11163]
  • find the deviance or number of misclassifications as a function of the cost-complexity parameter...
  • ada

  • Referenced in 17 articles [sw09505]
  • rules with ”mediocre” performance in terms of misclassification error rate to produce a highly accurate...
  • ENDER

  • Referenced in 15 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...
  • holcroft.f77

  • Referenced in 2 articles [sw37147]
  • outcome to the exposure of interest. Misclassification rates were assumed to be independent ... assess the effect of misspecifying the misclassification rates. Under the scenarios considered, our results suggested...
  • hmeasure

  • Referenced in 2 articles [sw40466]
  • link.springer.com/article/10.1007/s10994-009-5119-5>, which computes the minimum total misclassification cost, integrating over any uncertainty about ... relative misclassification costs, as per a user-defined prior. It also offers a one-stop...
  • episensr

  • Referenced in 3 articles [sw15562]
  • relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows...
  • Daim

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

  • Referenced in 2 articles [sw40352]
  • supports cost-sensitive learning by defining a misclassification cost matrix and weighted sensitive learning...
  • ImbTreeAUC

  • Referenced in 2 articles [sw40353]
  • supports cost-sensitive learning by defining a misclassification cost matrix and weight-sensitive learning...
  • 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...
  • extended_rmcv.m

  • Referenced in 1 article [sw34281]
  • usually uninformative about the distribution of misclassifications; and (3) is insensitive to error severity (making ... distinction between misclassification types). In this study, we propose to learn the structure...
  • 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...