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Empirical Research in Software Engineering
book

Empirical Research in Software Engineering

by Ruchika Malhotra
March 2016
Intermediate to advanced content levelIntermediate to advanced
498 pages
18h 20m
English
Chapman and Hall/CRC
Content preview from Empirical Research in Software Engineering
290 Empirical Research in Software Engineering
7.4 Concerns in Model Prediction
The prediction models must be carefully developed. Before and during model prediction,
there are many issues and concerns that must be addressed.
Data must be preprocessed using outlier analysis, normality tests and so on. It
may help in increasing the accuracy of the models. Section 6.1presents the pre-
processing techniques.
The model must be checked for multicollinearity effects (see Section 7.4.2).
Dealing with imbalanced data (see Section 7.4.3).
A suitable learning technique must be selected for model development (see
Section7.4.4).
The training a ...
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Publisher Resources

ISBN: 9781498719735