query: The idea behind bootstrapping
positive_passages.docid: 7187
positive_passages.text: Explaining to laypeople why bootstrapping works
negative_passages.docid: 118434
negative_passages.text: Lift measure in data mining
negative_passages.docid: 93219
negative_passages.text: Is bootstrapping standard errors and confidence intervals appropriate in regressions where homoscedasticity assumption is violated?
negative_passages.docid: 41761
negative_passages.text: Determining the default Method used in optimization and root-finding algorithms
negative_passages.docid: 16157
negative_passages.text: Questions on parametric and non-parametric bootstrap
negative_passages.docid: 8922
negative_passages.text: Opinions about Oversampling in general, and the SMOTE algorithm in particular
negative_passages.docid: 99257
negative_passages.text: Dot Product Intuition
negative_passages.docid: 89241
negative_passages.text: Bootstrap sample with size greater than the original sample
negative_passages.docid: 45583
negative_passages.text: Is there a visual web editor based on bootstrap?
negative_passages.docid: 98625
negative_passages.text: theoretical basis for logistic regression
negative_passages.docid: 60571
negative_passages.text: Interweaving vectors
negative_passages.docid: 69637
negative_passages.text: Random Forests and data transformations
negative_passages.docid: 37246
negative_passages.text: Armijo rule intuition and implementation
negative_passages.docid: 36728
negative_passages.text: Choosing the number of bootstrap resamples
negative_passages.docid: 81133
negative_passages.text: Adaboost vs Gradient Boosting
negative_passages.docid: 150891
negative_passages.text: What are examples where a "naive bootstrap" fails?
negative_passages.docid: 22001
negative_passages.text: What is bootstrapping?