132 citations · 314 across the 8 of their papers we have counts for
3 papers · 1 filter
The Impact of Using Regression Models to Build Defect Classifiers
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
It is common practice to discretize continuous defect counts into defective and non-defective classes and use them as a target variable when building defect classifiers (discretize…
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
Researchers usually discretize a continuous dependent variable into two target classes by introducing an artificial discretization threshold (e.g., median). However, such discretiz…
The impact of feature importance methods on the interpretation of defect classifiers
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
Classifier specific (CS) and classifier agnostic (CA) feature importance methods are widely used (often interchangeably) by prior studies to derive feature importance ranks from a…