Titlebook: Assessing and Improving Prediction and Classification; Theory and Algorithm Timothy Masters Book 2018 Timothy Masters 2018 prediction.class

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BUST

Resampling for Assessing Parameter Estimates,r (or several numbers) that result from the interaction. For example, we may use the random sample to train a model and then examine one or more of the model’s learned parameters. More often, we apply a previously trained model to the cases and compute a measure of the model’s performance so that we

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Resampling for Assessing Prediction and Classification,model is trained with one dataset, the training set, and then tested with a completely independent dataset, the test set or validation set or out-of-sample set. (The choice of term is usually personal preference.) A performance measure, such as mean squared error, median absolute error, profit facto

Mnemonics

Miscellaneous Resampling Techniques,s be estimated. This included model parameters as well as performance measures based on independent test data. Then in Chapter 4 we saw that performance measures for a model could be safely obtained from the very same data that was used to train the model. In this chapter we will explore assorted me

Gustatory

Combining Numeric Predictions,or the final use. But there is usually a better approach: keep and use many or all of the models. In all likelihood, some models will have weaknesses that can be alleviated by the strengths of others. By intelligently combining the predictions made by multiple models, a consensus prediction can be m

phase-2-enzyme

鬧劇

Gating Methods,rder to obtain an opinion superior to what could be obtained from a single model. These models may be numeric predictors or classifiers. What distinguishes the techniques of this chapter from the model combination methods described in prior chapters is that a gated combiner requires the use of a ded

一瞥

饒舌的人

Food Adulteration and Authenticityone of several competing categories (benign versus malignant, tank versus truck versus rock, and so forth). In numeric prediction, the goal is to assign a specific numeric value to a case (expected profit of a trade, expected yield in a chemical batch, and so forth). Actually, such a clear distincti