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 trained an IBK classifier with some training data that I created manually as following: ArrayList<Attribute> atts = …
java machine-learning classification wekaI am very new to matlab, hidden markov model and machine learning, and am trying to classify a given sequence …
matlab machine-learning classification hidden-markov-modelsi have a training set and i want to use a classification method for classifying other documents according to my …
classification svmI have a Pandas Dataframe with 2 categorical variables, and ID variable and a target variable (for classification). I managed to …
python pandas scikit-learn classification one-hot-encodingI'm trying to boost a classification tree using the gbm package in R and I'm a little bit confused about …
r classification boostingThere are two classes, let's call them X and O. A number of elements belonging to these classes are spread …
algorithm math machine-learning classificationI'm trying to use a classifier LibSVM-based using Weka, but i got this error: Exception in thread "main" weka.core.…
java classification weka libsvmWhat is the difference between cross-entropy and log loss error? The formulae for both seem to be very similar.
machine-learning classification cross-entropyI'm trying to build an app to detect images which are advertisements from the webpages. Once I detect those I`…
machine-learning classification svm training-dataI want to use train and test in J48 decision-tree on R. here is my code: library("RWeka") data <…
r classification weka decision-tree j48