In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership (label) is known.
I have a logistic regression and a random forest and I'd like to combine them (ensemble) for the final classification …
python machine-learning classification scikit-learnWhen we calculate the F-Measure considering both Precision and Recall, we take the harmonic mean of the two measures instead …
machine-learning classification data-miningIs there a way to predict how long it will take to run a classifier from sci-kit learn based on …
python machine-learning classification scikit-learnI am embarking upon a NLP project for sentiment analysis. I have successfully installed NLTK for python (seems like a …
nlp nltk weka classificationI'm using the package e1071 in R in order to build a one-class SVM model. I don't know how to …
r classification svm libsvmI have a large corpus of opinions (2500) in raw text. I would like to use scikit-learn library to split them …
machine-learning scikit-learn classification cross-validation text-classificationSee below for 50 tweets about "apple." I have hand labeled the positive matches about Apple Inc. They are marked as 1 …
java python r machine-learning classificationIm trying to build a text classifier in JAVA with Weka. I have read some tutorials, and I´m trying …
java classification weka document-classificationI would like to create a dendrogram in R which has colored branches, like the one shown below. So far …
r classification dendrogram dendextendI split Train data set and Test data set. I used a package rpart for CART (classification tree) in R (…
r classification predict roc