Data Mining - Training (Data|Set)
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In statistics, the training data is the sample whereas in data mining, machine learning, the training data is often a subset of the data set. See Model Building - ReSampling Validation
Training Set represents the hindsight whereas test set represents the foresight.
Articles Related
- Machine Learning - (Overfitting|Overtraining|Robust|Generalization) (Underfitting)
- Statistics Learning - Prediction Error (Training versus Test)
- Statistics - Model Building (Training|Learning|Fitting)
- Statistics - Model Evaluation (Estimation|Validation|Testing)
- Data Mining - (Anomaly|outlier) Detection
- Data Mining - Naive Bayes (NB)
- Statistics - Resampling through Random Percentage Split
- Data Mining - Test Set
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