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  2. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  3. PRESS statistic - Wikipedia

    en.wikipedia.org/wiki/PRESS_statistic

    Instead of fitting only one model on all data, leave-one-out cross-validation is used to fit N models (on N observations) where for each model one data point is left out from the training set. The out-of-sample predicted value is calculated for the omitted observation in each case, and the PRESS statistic is calculated as the sum of the squares ...

  4. Regression validation - Wikipedia

    en.wikipedia.org/wiki/Regression_validation

    For example, if the functional form of the model does not match the data, R 2 can be high despite a poor model fit. Anscombe's quartet consists of four example data sets with similarly high R 2 values, but data that sometimes clearly does not fit the regression line. Instead, the data sets include outliers, high-leverage points, or non-linearities.

  5. Cross-validation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Cross-validation_(statistics)

    A single k-fold cross-validation is used with both a validation and test set. The total data set is split into k sets. One by one, a set is selected as test set. Then, one by one, one of the remaining sets is used as a validation set and the other k - 2 sets are used as training sets until all possible combinations have been evaluated. Similar ...

  6. Statistical model validation - Wikipedia

    en.wikipedia.org/wiki/Statistical_model_validation

    In statistics, model validation is the task of evaluating whether a chosen statistical model is appropriate or not. Oftentimes in statistical inference, inferences from models that appear to fit their data may be flukes, resulting in a misunderstanding by researchers of the actual relevance of their model.

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  8. SPSS - Wikipedia

    en.wikipedia.org/wiki/SPSS

    Companion software in the "IBM SPSS" family are used for data mining and text analytics (IBM SPSS Modeler), realtime credit scoring services (IBM SPSS Collaboration and Deployment Services), and structural equation modeling (IBM SPSS Amos). SPSS Data Collection and SPSS Dimensions were sold in 2015 to UNICOM Systems, Inc., a division of UNICOM ...

  9. 4 brain games to keep your mind sharp and improve memory ...

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