Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Cross-validation_(statistics)> ?p ?o }
- Cross-validation_(statistics) abstract "Cross-validation, sometimes called rotation estimation, is a model validation technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. In a prediction problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data) against which the model is tested (testing dataset). The goal of cross validation is to define a dataset to \"test\" the model in the training phase (i.e., the validation dataset), in order to limit problems like overfitting, give an insight on how the model will generalize to an independent dataset (i.e., an unknown dataset, for instance from a real problem), etc.One round of cross-validation involves partitioning a sample of data into complementary subsets, performing the analysis on one subset (called the training set), and validating the analysis on the other subset (called the validation set or testing set). To reduce variability, multiple rounds of cross-validation are performed using different partitions, and the validation results are averaged over the rounds.Cross-validation is important in guarding against testing hypotheses suggested by the data (called \"Type III errors\"), especially where further samples are hazardous, costly or impossible to collect.Furthermore, one of the main reasons for using cross-validation instead of using the conventional validation (e.g. partitioning the data set into two sets of 70% for training and 30% for test) is that the error (e.g. Root Mean Square Error) on the training set in the conventional validation is not a useful estimator of model performance and thus the error on the test data set does not properly represent the assessment of model performance. This may be because there is not enough data available or there is not a good distribution and spread of data to partition it into separate training and test sets in the conventional validation method. In these cases, a fair way to properly estimate model prediction performance is to use cross-validation as a powerful general technique.In summary, cross-validation combines (averages) measures of fit (prediction error) to correct for the optimistic nature of training error and derive a more accurate estimate of model prediction performance.".
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- Cross-validation_(statistics) wikiPageLength "25709".
- Cross-validation_(statistics) wikiPageOutDegree "64".
- Cross-validation_(statistics) wikiPageRevisionID "705824849".
- Cross-validation_(statistics) wikiPageWikiLink Accuracy_and_precision.
- Cross-validation_(statistics) wikiPageWikiLink Bias_(statistics).
- Cross-validation_(statistics) wikiPageWikiLink Binary_classification.
- Cross-validation_(statistics) wikiPageWikiLink Binomial_coefficient.
- Cross-validation_(statistics) wikiPageWikiLink Boosting_(machine_learning).
- Cross-validation_(statistics) wikiPageWikiLink Bootstrap_aggregating.
- Cross-validation_(statistics) wikiPageWikiLink Bootstrapping_(statistics).
- Cross-validation_(statistics) wikiPageWikiLink Cancer.
- Cross-validation_(statistics) wikiPageWikiLink Category:Machine_learning.
- Cross-validation_(statistics) wikiPageWikiLink Category:Model_selection.
- Cross-validation_(statistics) wikiPageWikiLink Category:Regression_variable_selection.
- Cross-validation_(statistics) wikiPageWikiLink Closed-form_expression.
- Cross-validation_(statistics) wikiPageWikiLink Complement_(set_theory).
- Cross-validation_(statistics) wikiPageWikiLink Data.
- Cross-validation_(statistics) wikiPageWikiLink Dichotomy.
- Cross-validation_(statistics) wikiPageWikiLink Drug.
- Cross-validation_(statistics) wikiPageWikiLink Euclidean_vector.
- Cross-validation_(statistics) wikiPageWikiLink Expected_value.
- Cross-validation_(statistics) wikiPageWikiLink Feature_(machine_learning).
- Cross-validation_(statistics) wikiPageWikiLink Feature_selection.
- Cross-validation_(statistics) wikiPageWikiLink Hyperplane.
- Cross-validation_(statistics) wikiPageWikiLink Independence_(probability_theory).
- Cross-validation_(statistics) wikiPageWikiLink K-nearest_neighbors_algorithm.
- Cross-validation_(statistics) wikiPageWikiLink Kernel_regression.
- Cross-validation_(statistics) wikiPageWikiLink Least_squares.
- Cross-validation_(statistics) wikiPageWikiLink Linear_regression.
- Cross-validation_(statistics) wikiPageWikiLink Logistic_regression.
- Cross-validation_(statistics) wikiPageWikiLink Mathematical_optimization.
- Cross-validation_(statistics) wikiPageWikiLink Mean_squared_error.
- Cross-validation_(statistics) wikiPageWikiLink Median_absolute_deviation.
- Cross-validation_(statistics) wikiPageWikiLink Medical_diagnosis.
- Cross-validation_(statistics) wikiPageWikiLink Monte_Carlo_method.
- Cross-validation_(statistics) wikiPageWikiLink Optical_character_recognition.
- Cross-validation_(statistics) wikiPageWikiLink Overfitting.
- Cross-validation_(statistics) wikiPageWikiLink PRESS_statistic.
- Cross-validation_(statistics) wikiPageWikiLink Parameter.
- Cross-validation_(statistics) wikiPageWikiLink Partition_of_a_set.
- Cross-validation_(statistics) wikiPageWikiLink Positive_and_negative_predictive_values.
- Cross-validation_(statistics) wikiPageWikiLink Protein.
- Cross-validation_(statistics) wikiPageWikiLink Protein_production_(biotechnology).
- Cross-validation_(statistics) wikiPageWikiLink Real_number.
- Cross-validation_(statistics) wikiPageWikiLink Regression_validation.
- Cross-validation_(statistics) wikiPageWikiLink Resampling_(statistics).
- Cross-validation_(statistics) wikiPageWikiLink Root-mean-square_deviation.
- Cross-validation_(statistics) wikiPageWikiLink Sample_(statistics).
- Cross-validation_(statistics) wikiPageWikiLink Sherman–Morrison_formula.
- Cross-validation_(statistics) wikiPageWikiLink Stability_(learning_theory).
- Cross-validation_(statistics) wikiPageWikiLink Statistical_model.
- Cross-validation_(statistics) wikiPageWikiLink Statistical_population.
- Cross-validation_(statistics) wikiPageWikiLink Statistics.
- Cross-validation_(statistics) wikiPageWikiLink Stock_market_prediction.
- Cross-validation_(statistics) wikiPageWikiLink Support_vector_machine.
- Cross-validation_(statistics) wikiPageWikiLink Test_set.
- Cross-validation_(statistics) wikiPageWikiLink Testing_hypotheses_suggested_by_the_data.
- Cross-validation_(statistics) wikiPageWikiLink Type_III_error.
- Cross-validation_(statistics) wikiPageWikiLink Validity_(statistics).
- Cross-validation_(statistics) wikiPageWikiLink Variance.
- Cross-validation_(statistics) wikiPageWikiLinkText "Cross Validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "Cross validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "Cross-validation (statistics)".
- Cross-validation_(statistics) wikiPageWikiLinkText "Cross-validation (statistics)#Leave-one-out cross-validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "Cross-validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "Generalized Cross Validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "cross validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "cross-validated".
- Cross-validation_(statistics) wikiPageWikiLinkText "cross-validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "evaluation sets".
- Cross-validation_(statistics) wikiPageWikiLinkText "leave-one-out cross-validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "validation".
- Cross-validation_(statistics) wikiPageWikiLinkText "verifying".
- Cross-validation_(statistics) wikiPageUsesTemplate Template:Citation_needed.
- Cross-validation_(statistics) wikiPageUsesTemplate Template:Commons_category.
- Cross-validation_(statistics) wikiPageUsesTemplate Template:Reflist.
- Cross-validation_(statistics) wikiPageUsesTemplate Template:Statistics.
- Cross-validation_(statistics) subject Category:Machine_learning.
- Cross-validation_(statistics) subject Category:Model_selection.
- Cross-validation_(statistics) subject Category:Regression_variable_selection.
- Cross-validation_(statistics) hypernym Technique.
- Cross-validation_(statistics) type Model.
- Cross-validation_(statistics) type TopicalConcept.
- Cross-validation_(statistics) type Model.
- Cross-validation_(statistics) type Redirect.
- Cross-validation_(statistics) comment "Cross-validation, sometimes called rotation estimation, is a model validation technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice.".
- Cross-validation_(statistics) label "Cross-validation (statistics)".
- Cross-validation_(statistics) sameAs Q541014.
- Cross-validation_(statistics) sameAs تصديق_متقاطع.
- Cross-validation_(statistics) sameAs Validació_creuada.
- Cross-validation_(statistics) sameAs Křížová_validace.
- Cross-validation_(statistics) sameAs Kreuzvalidierungsverfahren.
- Cross-validation_(statistics) sameAs Validación_cruzada.
- Cross-validation_(statistics) sameAs Validation_croisée.
- Cross-validation_(statistics) sameAs Convalida_incrociata.
- Cross-validation_(statistics) sameAs 交差検証.
- Cross-validation_(statistics) sameAs Sprawdzian_krzyżowy.
- Cross-validation_(statistics) sameAs Validação_cruzada.