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.
How to plot a ROC curve using ROCR package in r, with only a classification contingency table? I have a …
r plot classification rocI am using LogisticRegression from the sklearn package, and have a quick question about classification. I built a ROC curve …
python scikit-learn classification regressionI'd like to ask everyone a question about how correlated features (variables) affect the classification accuracy of machine learning algorithms. …
machine-learning classification correlation feature-selectionI am working on classifying simple data using KNN with Euclidean distance. I have seen an example on what I …
matlab machine-learning classification knnI write a classifier (Gaussian Mixture Model) to classify five human actions. For every observation the classifier compute the posterior …
matlab classification threshold false-positive rocI'm working on classification problem where i need to add different levels of gaussian noise to my dataset and do …
python-3.x machine-learning classification noiseI want to do a 10-fold cross-validation in my one-against-all support vector machine classification in MATLAB. I tried to somehow …
matlab machine-learning classification svm libsvmWhen doing regression or classification, what is the correct (or better) way to preprocess the data? Normalize the data -&…
machine-learning normalization classification regression pcaI've trained a classifier in Weka, and I'm able to use it on test data. Additionally, I can opt to …
csv weka classification outputI'm working on doing a logistic regression using MATLAB for a simple classification problem. My covariate is one continuous variable …
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