The Secret To Speeding Up Weka's Logistic Regression (Finally!)

I'm finding that naively plugging this into weka takes a few minutes per problem, which is unsuitable given the number of tasks which need to be performed. Is there a faster library i can. Classifier for building linear logistic regression models. Logitboost with simple regression functions as base learners is used for fitting the logistic models. the optimal number of. Apply logistic regression technique using weka tool in 4 different settings including:

In this article, we will understand hyperparameter tuning for logistic regression, providing a comprehensive overview of the key hyperparameters, their effects on model. Make sure you have lots of memory, and fast memory at that. Since logistic regression uses an evoluationary approach to find an optimal solution you can reduce the runtime by specifying. If we had to build a model immediately, we might choose logistic regression, but we might also choose naive bayes or smo as their results were not significantly different. Weka can do that for you in an. Scikit's logistic regression is incredibly fast compared to weka. Weka's implementation (mostly based on this paper) is slow as well as very memory intensive. Sometimes it wasn't enough.