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I have a set of examples, which are each annotated with feature data. The examples and features describe the settings of an experiment in an arbitrary domain (e.g. number-of-switches, number-of-days-p
I have the following data.frame d from an experiment: - Variable y (response, continuous) - Factor f (500 levels)
I have a legacy code base in php, and we have a few applications in python (new codebase). I am attempting to migrate the legacy pieces to the new codebase/language. Currently I can only think of the
I\'m using regression SVMs in python and I am wondering if there is any way to get a \"confidence-measure\" value for its predictions.
I\'m pretty new to R and I\'m stuck with a pretty dumb problem. I\'m calibrating a regression tree using the rpart package in order to do some classification and some forecasting.
In normal 2 or multi class classification problem, we can use any famous machine learning algorithm like Naive Bayes or SVM to train and test the model.
I have a set of 2 data vectors representing X and Y. I was able to plot them using JFreeChart both on a linear and a logarithmic scale. On the linear scale the curve is exponantial and on the logarith
开发者_StackOverflow社区How to interprete the resultsof panel data models of R? I estimate a adapted form ofKoenker\'s (2004) suggestion for a quantile regression approach with panel data, for my dat
I\'m training Weka\'s logistic regress开发者_开发知识库ion classifier and I\'m trying to figure out what is going on under the hood.I know that I can use the classifier to look at the confidence distr
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