Data Mining - (True Function|Truth)

Thomas Bayes

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The True model (or truth) is the model that represents perfectly the response without noise.




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Model Funny
Data Mining - (Function|Model)

The model is the function, equation, algorithm that predicts an outcome value from one of several predictors. During the training process, the models are build. A model uses a logic and one of several...
Thomas Bayes
Fuzzy Logic (Partial Truth)

Fuzzy logic is a form of many-valued logic that deals with approximate, rather than fixed and exact reasoning. Compared to traditional binary logic (where variables may take on true or false values),...
Model Performance Michaelangelo Uber
Statistics - Model Evaluation (Estimation|Validation|Testing)

Evaluation is how to determine if the model is a good representation of the truth. Validation applies the model to test data in order to determine whether the model, built on a training set, is generalizable...
Thomas Bayes
Statistics - Non-linear (effect|function|model)

Non-linear effect The truth is almost never linear but often the linearity assumption is good enough. (Linearity is an approximation) When its not (increasing in complexity): polynomials, step functions,...
Confustion Matrix For Accuracy
Statistics Learning - (Error|misclassification) Rate - false (positives|negatives)

The error rate is a prediction error metrics for a binary classification problem. The error rate metrics for a two-class classification problem are calculated with the help of a Confusion Matrix. The...



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