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.
What's the best way to handle missing feature attribute values with Weka's C4.5 (J48) decision tree? The problem of missing …
machine-learning data-mining weka decision-tree classificationAs my classifier yields about 99% accuracy on test data, I am a bit suspicious and want to gain insight in …
python machine-learning scikit-learn classification text-classificationWhat is the difference between objective and feval in xgboost in R? I know this is something very fundamental but …
r classification xgboost objective-function evaluation-functionI am using scikit-learn Multinomial Naive Bayes classifier for binary text classification (classifier tells me whether the document belongs to …
python machine-learning classification scikit-learn text-classificationI am currently using H2O for a classification problem dataset. I am testing it out with H2ORandomForestEstimator in …
python machine-learning classification random-forest h2oI'm starting to use the scikit-learn to do some NLP. I've already used some classifiers from NLTK and now I …
python scikit-learn classification text-processing feature-engineeringI'm trying to follow a tutorial on sound classification in neural networks, and I've found 3 different versions of the same …
python neural-network classification mfccI'm trying to extract a classification from a dendrogram in R that I've cut at a certain height. This is …
r classification cluster-analysis dendrogram dendextendI would like to use rfcv to cull the unimportant variables from a data set before creating a final random …
r machine-learning classification random-forest feature-selectionCan you please let me know how to represent attribute or class for text classification in weka. By using what …
java machine-learning classification weka arff