Glossary Archives

Partial dependence

Written by Evispot. Posted in Glossary, p, Uncategorized. Leave a Comment

Partial dependence is a measure of the average model prediction with respect to an input variable. Partial dependence plots display how machine-learned response functions change based on the values of an input variable of interest while taking nonlinearity...

Training data set

Written by Evispot. Posted in Glossary, t.

A training set is a subset of your data set which contains all the data points available to create a model during training.

Test data set

Written by Evispot. Posted in Glossary, t.

The test data set is used for the final stage scoring and is the data set for which model metrics will be computed against. Test set predictions will be available at the end of the experiment. This data set is not used during training of the modeling...

Target Leakage

Written by Evispot. Posted in Glossary, t.

Target leakage, sometimes called data leakage, is one of the most difficult problems when developing an AI model. It happens when you train your algorithm on a data set that includes information that would not be available at the time of prediction...

Overfitting

Written by Evispot. Posted in Glossary, o.

Overfitting is the phenomenon of a model not performing well, i.e., not making good predictions, because it captured the noise as well as the signal in the training set. In other words, the model is generalizing too little and instead of just characterizing...

Underfitting

Written by Evispot. Posted in Glossary, u.

Underfitting is the phenomenon of a model not performing well, i.e., not making good predictions, because it wasn’t able to correctly or completely capture the signal in the training set. In other words, the model is generalizing too much, to the...

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