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 want to add a few more words to stop_words in TfidfVectorizer. I followed the solution in Adding words …
python scikit-learn classification stop-words text-classificationIm new to weka and I'm confused with the tool. What I needed to do is im having a data …
dataset data-mining classification weka predictionI'm new to R and I'm using the e1071 package for SVM classification in R. I used the following code: …
r classification svmThere doesn't seem to be too many options for deploying predictive models in production which is surprising given the explosion …
r deployment machine-learning classification pmmlI'm wondering how to calculate precision and recall measures for multiclass multilabel classification, i.e. classification where there are more …
machine-learning classification multilabel-classification precision-recallI am using R to classify a data-frame called 'd' containing data structured like below: The data has 576666 rows and …
r machine-learning classification decision-tree rpartmultilabel-indicator is not supported is the error message I get, when trying to run: confusion_matrix(y_test, predictions) y_…
python numpy scikit-learn classificationI am working on a classification problem to classify product reviews as positive, negative or neutral as per the training …
java lucene classification query-parserWith the maven jar plugin I build two jar: bar-1.0.0.jar and bar-1.0.0-client.jar. Actually in my POM I …
maven-2 maven-plugin dependency-management classification maven-jar-pluginHow should I approach a situtation when I try to apply some ML algorithm (classification, to be more specific, SVM …
machine-learning classification svm