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- Bias–variance_tradeoff abstract "In statistics and machine learning, the bias–variance tradeoff (or dilemma) is the problem of simultaneously minimizing two sources of error that prevent supervised learning algorithms from generalizing beyond their training set: The bias is error from erroneous assumptions in the learning algorithm. High bias can cause an algorithm to miss the relevant relations between features and target outputs (underfitting). The variance is error from sensitivity to small fluctuations in the training set. High variance can cause overfitting: modeling the random noise in the training data, rather than the intended outputs.The bias–variance decomposition is a way of analyzing a learning algorithm's expected generalization error with respect to a particular problem as a sum of three terms, the bias, variance, and a quantity called the irreducible error, resulting from noise in the problem itself.This tradeoff applies to all forms of supervised learning: classification, regression (function fitting), and structured output learning. It has also been invoked to explain the effectiveness of heuristics in human learning.".
- Bias–variance_tradeoff thumbnail Test_function_and_noisy_data.png?width=300.
- Bias–variance_tradeoff wikiPageExternalLink BiasVariance.html.
- Bias–variance_tradeoff wikiPageID "40678189".
- Bias–variance_tradeoff wikiPageLength "16481".
- Bias–variance_tradeoff wikiPageOutDegree "56".
- Bias–variance_tradeoff wikiPageRevisionID "707488036".
- Bias–variance_tradeoff wikiPageWikiLink Accuracy_and_precision.
- Bias–variance_tradeoff wikiPageWikiLink Algorithm.
- Bias–variance_tradeoff wikiPageWikiLink Artificial_neural_network.
- Bias–variance_tradeoff wikiPageWikiLink Bias_of_an_estimator.
- Bias–variance_tradeoff wikiPageWikiLink Boosting_(machine_learning).
- Bias–variance_tradeoff wikiPageWikiLink Bootstrap_aggregating.
- Bias–variance_tradeoff wikiPageWikiLink Category:Dilemmas.
- Bias–variance_tradeoff wikiPageWikiLink Category:Machine_learning.
- Bias–variance_tradeoff wikiPageWikiLink Category:Model_selection.
- Bias–variance_tradeoff wikiPageWikiLink Category:Statistical_classification.
- Bias–variance_tradeoff wikiPageWikiLink Closed-form_expression.
- Bias–variance_tradeoff wikiPageWikiLink Cognitive_science.
- Bias–variance_tradeoff wikiPageWikiLink Decision_tree.
- Bias–variance_tradeoff wikiPageWikiLink Dimensionality_reduction.
- Bias–variance_tradeoff wikiPageWikiLink Ensemble_learning.
- Bias–variance_tradeoff wikiPageWikiLink Errors_and_residuals.
- Bias–variance_tradeoff wikiPageWikiLink Exemplar.
- Bias–variance_tradeoff wikiPageWikiLink Expected_value.
- Bias–variance_tradeoff wikiPageWikiLink Feature_selection.
- Bias–variance_tradeoff wikiPageWikiLink Gauss–Markov_theorem.
- Bias–variance_tradeoff wikiPageWikiLink Generalization.
- Bias–variance_tradeoff wikiPageWikiLink Generalization_error.
- Bias–variance_tradeoff wikiPageWikiLink Generalized_linear_model.
- Bias–variance_tradeoff wikiPageWikiLink Gerd_Gigerenzer.
- Bias–variance_tradeoff wikiPageWikiLink Hyperparameter_optimization.
- Bias–variance_tradeoff wikiPageWikiLink Instance-based_learning.
- Bias–variance_tradeoff wikiPageWikiLink K-nearest_neighbors_algorithm.
- Bias–variance_tradeoff wikiPageWikiLink Linear_model.
- Bias–variance_tradeoff wikiPageWikiLink Machine_learning.
- Bias–variance_tradeoff wikiPageWikiLink Mean_squared_error.
- Bias–variance_tradeoff wikiPageWikiLink Minimum-variance_unbiased_estimator.
- Bias–variance_tradeoff wikiPageWikiLink Mixture_model.
- Bias–variance_tradeoff wikiPageWikiLink Model_selection.
- Bias–variance_tradeoff wikiPageWikiLink Noise_(signal_processing).
- Bias–variance_tradeoff wikiPageWikiLink Overfitting.
- Bias–variance_tradeoff wikiPageWikiLink Probabilistic_classification.
- Bias–variance_tradeoff wikiPageWikiLink Prototype.
- Bias–variance_tradeoff wikiPageWikiLink Q.E.D..
- Bias–variance_tradeoff wikiPageWikiLink Radial_basis_function.
- Bias–variance_tradeoff wikiPageWikiLink Regression_analysis.
- Bias–variance_tradeoff wikiPageWikiLink Regression_validation.
- Bias–variance_tradeoff wikiPageWikiLink Regularization_(mathematics).
- Bias–variance_tradeoff wikiPageWikiLink Statistical_classification.
- Bias–variance_tradeoff wikiPageWikiLink Statistics.
- Bias–variance_tradeoff wikiPageWikiLink Structured_prediction.
- Bias–variance_tradeoff wikiPageWikiLink Supervised_learning.
- Bias–variance_tradeoff wikiPageWikiLink Test_set.
- Bias–variance_tradeoff wikiPageWikiLink Variance.
- Bias–variance_tradeoff wikiPageWikiLinkText "Bias–variance tradeoff".
- Bias–variance_tradeoff wikiPageWikiLinkText "bias–variance tradeoff".
- Bias–variance_tradeoff wikiPageWikiLinkText "low bias, but very high variance".
- Bias–variance_tradeoff wikiPageWikiLinkText "variance".
- Bias–variance_tradeoff align "right".
- Bias–variance_tradeoff caption "Function and noisy data.".
- Bias–variance_tradeoff caption "spread=0.1".
- Bias–variance_tradeoff caption "spread=1".
- Bias–variance_tradeoff caption "spread=5".
- Bias–variance_tradeoff direction "vertical".
- Bias–variance_tradeoff footer "A function is approximated using radial basis functions . Several trials are shown in each graph. For each trial, a few noisy data points are provided as training set . For a wide spread the bias is high: the RBFs cannot fully approximate the function , but the variance between different trials is low. As spread decreases the bias decreases: the blue curves more closely approximate the red. However, depending on the noise in different trials the variance between trials increases. In the lowermost image the approximated values for x=0 varies wildly depending on where the data points were located.".
- Bias–variance_tradeoff image "Radial basis function fit, spread=0.1.png".
- Bias–variance_tradeoff image "Radial basis function fit, spread=1.png".
- Bias–variance_tradeoff image "Radial basis function fit, spread=5.png".
- Bias–variance_tradeoff image "Test function and noisy data.png".
- Bias–variance_tradeoff width "200".
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- Bias–variance_tradeoff subject Category:Dilemmas.
- Bias–variance_tradeoff subject Category:Machine_learning.
- Bias–variance_tradeoff subject Category:Model_selection.
- Bias–variance_tradeoff subject Category:Statistical_classification.
- Bias–variance_tradeoff hypernym Problem.
- Bias–variance_tradeoff type Disease.
- Bias–variance_tradeoff comment "In statistics and machine learning, the bias–variance tradeoff (or dilemma) is the problem of simultaneously minimizing two sources of error that prevent supervised learning algorithms from generalizing beyond their training set: The bias is error from erroneous assumptions in the learning algorithm. High bias can cause an algorithm to miss the relevant relations between features and target outputs (underfitting). The variance is error from sensitivity to small fluctuations in the training set.".
- Bias–variance_tradeoff label "Bias–variance tradeoff".
- Bias–variance_tradeoff sameAs Q17003119.
- Bias–variance_tradeoff sameAs Bias-Varianz-Dilemma.
- Bias–variance_tradeoff sameAs Dilemme_biais-variance.
- Bias–variance_tradeoff sameAs 편향-분산_트레이드오프.
- Bias–variance_tradeoff sameAs m.0y4vgj6.
- Bias–variance_tradeoff sameAs Q17003119.
- Bias–variance_tradeoff wasDerivedFrom Bias–variance_tradeoff?oldid=707488036.
- Bias–variance_tradeoff depiction Test_function_and_noisy_data.png.
- Bias–variance_tradeoff isPrimaryTopicOf Bias–variance_tradeoff.