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'm trying to use weka API in my java code. I use J48 tree classification to Classify my dataset in …
java api classification wekaI trained an ExtraTreesClassifier (gini index) using scikit-learn and it suits my needs fairly. Not so good accuracy, but using …
python scikit-learn classification threshold rocIt is described in Mahout in Action that normalization can slightly improve the accuracy. Can anyone explain the reason, thanks!
machine-learning nlp classification mahoutI am fairly new to Weka and even more new to Weka on the command line. I find documentation is …
machine-learning classification wekaI have a scenario where I have several thousand instances of data. The data itself is represented as a single …
machine-learning classificationI have a bunch of already human-classified documents in some groups. Is there a modified version of lda which I …
machine-learning nlp classification document-classification ldaGiven a set of data very similar to the Motley Fool CAPS system, where individual users enter BUY and SELL …
f# artificial-intelligence machine-learning finance classificationI know that logistic regression is for binary classification and softmax regression for multi-class problem. Would it be any differences …
algorithm machine-learning classification logistic-regression softmaxCan someone please explain (with example maybe) what is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit-learn? I've read documentation …
python scikit-learn classification multilabel-classification multiclass-classificationI'm solving a classification problem with sklearn's logistic regression in python. My problem is a general/generic one. I have …
python scikit-learn classification