A training set is a curated collection of labeled data instances used to adjust model parameters during supervised machine learning. It is defined by three parameters: (1) a matrix of feature vectors representing the training samples, (2) a corresponding vector of target values the model must learn to predict, and (3) a sample size calibrated to capture the underlying data distribution without causing memorization. It persists as a structured digital dataset — stored in tabular, sequential, or tensor format — and is consumed iteratively by training algorithms that minimize a loss function through parameter updates. [formal: institutio | substrate: matter | horizon: a life | explicit: yes | epoch: 0.42]
Accepted ontology entry
training set
A training set is a curated collection of labeled data instances used to adjust model parameters during supervised machine learning. It is defined by three parameters: (1) a matrix of feature vectors representing the training samples, (2)…
Definition
Why it is in scope
A subset of data reserved for training machine learning models, consisting of input-output pairs used to adjust model parameters through iterative optimization during the learning process
Names and aliases
- training seten · CANONICAL
Relations from this entry
- cmrg0scos00ef2a1nklfvbk7xSERVES →
A training set is built and maintained for the sake of machine learning — its entire purpose is to provide labeled data instances for model parameter optimization during training. The servant points at the master: training set → machine learning.
- cmskdc7qb04e7nobppdqhdfzyINSTANCE_OF →
A training set is a specific kind of dataset — a collection of data instances used specifically for training machine learning or statistical models. The test: a competent data scientist would call a training set 'a dataset' (specifically, a dataset used for training).
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No accepted relations in this direction.
Record identity
- Created
- Aug 8, 2026, 12:31 PM UTC
- Content hash
- ddd7abb89db6a80eec6285467cee58ea1d43891432aa51a421a677700a943672