Cross-validation (statistics)

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Motivation

Model Parameters Optimizes Independent Population

15 related topics

Applications

Optical character recognition Support Vector Machine K-nearest neighbors Variable selection Expression

8 related topics

Overview

Model validation Statistical Generalize Resampling Accurately

23 related topics

Measures of fit

Binary classification Contingency table Confusion matrix Root mean squared error Median absolute deviation

5 related topics

Topics to explore

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Overview

Model validation
Statistical Statistics
Generalize Generalization error
Resampling Resampling (statistics)
Accurately Accuracy
Predictive model Predictive modelling
Validation dataset Validation set
Overfitting
Selection bias
Partitioning Partition of a set
Sample Statistical sample
Data
Complementary Complement (set theory)
Variability Variance
Fitness Goodness of fit
Binomial coefficient
ROC curve
Jackknife Jackknife resampling
Machine learning models Machine learning
F* Cross-validation (statistics)
Monte Carlo Monte Carlo method
Dichotomous
RANSAC

Motivation

Model Statistical model
Parameters
Optimizes Optimization (mathematics)
Independent Independence (probability theory)
Population Statistical population
Real Real number
Vector Euclidean vector
Least squares
Hyperplane
Mean squared error
Expected value
Biased Bias (statistics)
Regularized Regularization (mathematics)
Cost function Loss function
Logistic regression

Nested cross-validation

Hyperparameters Hyperparameter (machine learning)
Validation and test set Training, validation, and test sets

Measures of fit

Using prior information

Shrinkage estimators Shrinkage estimator
Bayesian Bayesian regression
Ridge regression
Lasso Lasso (statistics)

Statistical properties

Confidence intervals Confidence interval

Computational issues

Limitations and misuse

Diagnosed Medical diagnosis
Features Features (pattern recognition)
Pseudoreplication
Confirmation bias

Cross validation for time-series, spatial and spatiotemporal models

Applications

Optical character recognition
Support Vector Machine
K-nearest neighbors K-nearest neighbors algorithm
Variable selection Feature selection
Expression Gene expression
Proteins
Cancer
Drug

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Map overview Semantic statistics

Nodes81

Edges80

Triples5

Avg. degree1.98

Density0.024691

Components1

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Important terminology Word statistics

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Important terminology

cross-validation model training validation set data used test sets using fit one estimate results independent method error prediction repeated also

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
k-fold cross validation may be more appropriate.Pseudo-code algorithm	instance of	in which case other approaches	0.80	text
least squares	instance of	In some cases	0.80	text
kernel regression	instance of	In some cases	0.80	text
cross-validation can be sped up significantly by pre-computing certain values that are needed repeatedly in the training	instance of	In some cases	0.80	text
or by using fast	instance of	In some cases	0.80	text

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Explore this topic

Motivation

Applications

Overview

Measures of fit

Key facts & relationships

Topics to explore

Overview

Motivation

Nested cross-validation

Measures of fit

Using prior information

Statistical properties

Computational issues

Limitations and misuse

Cross validation for time-series, spatial and spatiotemporal models

Applications

Advanced semantic analysis

Map overview Semantic statistics