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 and created a J48 model using WEKA gui. I saved the model file to my computer and now …
machine-learning classification weka prediction decision-treeUsing a LogisticRegression class in scikit-learn on a version of the flight delay dataset. I use pandas to select some …
machine-learning scikit-learn classification logistic-regression aucI have a simple 2-dimensional dataset that I wish to cluster in an agglomerative manner (not knowing the optimal number …
matlab cluster-analysis classification dendrogramI have saved the result of weka classification by right clicking on the model and selecting "save model". Now, I …
java model machine-learning classification wekaI am implementing logistic regression using batch gradient descent. There are two classes into which the input samples are to …
matlab machine-learning classification logistic-regression gradient-descentI would like to do classification based on HOG Features using SVM. I understand that HOG features is the combination …
matlab classification svm feature-extraction matlab-cvstI am using document-term vectors to represent a collection of document. I use TF*IDF to calculate the term weight …
machine-learning classification information-retrieval text-mining document-classificationI use the pre-trained VGG-16 model from Keras. My working source code so far is like this: from keras.applications.…
python keras deep-learning classification vgg-netHow do I visualize the SVM classification once I perform SVM training in Matlab? So far, I have only trained …
matlab classification svm libsvm pcaI am using the gbm function in R (gbm package) to fit stochastic gradient boosting models for multiclass classification. I …
r machine-learning classification data-mining gbm