Examples of 'cross validation' in a sentence
Meaning of "cross validation"
This phrase relates to the process of testing the performance or accuracy of a statistical or machine learning model by using separate data that was not used during the model's training. It is a technique to evaluate the model's ability to generalize to new, unseen data and is commonly used in data analysis and predictive modeling
How to use "cross validation" in a sentence
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cross validation
Regular cross validation to ensure certification equivalence.
Just a follow up on the cross validation question.
Cross validation and lack of fit tests.
Let us look at the cross validation results.
Classification error is estimated by means of cross validation.
Cross validation exercises will be necessary.
These errors are estimated based on cross validation.
We used cross validation also for this purpose.
Might use it for performing cross validation.
Cross validation is accomplished using four subset groups.
Evaluate the model with cross validation.
Cross validation can also be used to choose between competing models.
The number of components is determined by cross validation.
We will use ten fold cross validation to evaluate the accuracy of our.
Test data splitting as well as cross validation.
See also
A full cross validation was performed on all calibration models using standard techniques.
Each model was trained using cross validation.
The cross validation design is used to evaluate and control the degree of overfitting.
Leave one out cross validation.
The cross validation design will be used to evaluate and control the degree of overfitting.
Here are psychological portraits for cross validation.
Cross validation of the model was also done using SIMCA.
This is generally done using cross validation.
It is shown that Cross Validation is more robust than Maximum Likelihood in this case.
Throughout the leave one out cross validation.
In this work, a cross validation approach has been used for validation.
This was achieved using cross validation.
It is based on cross validation and on a weights computation performed by multi-level optimization.
Results of assessment using cross validation.
What cross validation technique would you use on time series data set?
The validity of each component was obtained by cross validation.
MiRs miRs cross validation.
Another method of finding the best number k is use cross validation.
Further cross validation is currently needed, with more subjects and a wide range of diagnostic classifications.
This is done by cross validation.
To validate and compare models, statistical criteria were calculated based on a five-fold cross validation.
The validation is based on 6 cross validation segments.
The most important miRNAs derived from the model were assessed using a leave-one-out cross validation.
Next, let us look at the cross validation error.
The data was analysed as described in Example 1 and the model validated by cross validation.
Currently the financial system does a cross validation between the following,.
Cross validation ( CV ) was used to rank order genes according to their CV performance.
The final method equations were an average of all of the cross validation equations.
Validation, XLSTAT proposes a K-fold cross validation technique to quantify the quality of the classifier.
This is known as Leave one out cross validation.
The standard error of cross validation ( SECV ) indicates the predictive capability of the model.
The model was validated using k-fold cross validation.
Ten-fold cross validation was used.
In order to minimize the risk of overfitting, the cross validation technique is used.
A 10-fold cross validation was performed and the overall misclassification rate was reported.
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Examples of using Cross
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Counter with cross to the left cheek
Cross him the key of our room
Type and cross four units stat
Examples of using Validation
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A shorter validation period thanks to standardized documentation
The major aims of the validation exercise were
Data validation is primarily relevant to point sources
