The Rashomon Effect, coined by Leo Breiman, describes the phenomenon that there exist many equally good predictive models for the same dataset. This phenomenon happens for many real datasets and when it does, it sparks both magic and consternation, but mostly magic. In light of the Rashomon Eff...
Create Regression or Classification Jobs Using the AutoML API Datasets Format and Problem Types Training Modes and Algorithms Metrics and validation Model deployment and prediction Deploy models for real-time inference Run batch inference jobs View model details View a model performance report Notebooks ge...
You may have a quantity like a weight, distance or timing. A linear transform may be useful to regression and other scale dependent methods. For example, you may haveItem_Weightin grams, with a value like 6289. You could create a new feature with this quantity in kilograms as...
Independent variables with at least one missing value were imputed using predictive mean matching for numerical variables, and binary/multinomial logistic regression or an ordered logit model for categorical variables. Outcome variables were not imputed to avoid the introduction of bias into the results....
datasets containing security vulnerability information from two open-source systems: (1) Apache Tomcat (versions 4.x and five 2.5.x minor versions). We also computed source code metrics for these versions of both systems. We examined four classifiers, including Naive Bayes, Decision Tree, XGBoost...