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 am using an rpart classifier in R. The question is - I would want to test the trained classifier …
r classification auc precision-recallThe classifiers in machine learning packages like liblinear and nltk offer a method show_most_informative_features(), which is really …
python machine-learning classification scikit-learnI have 7 classes that needs to be classified and I have 10 features. Is there a optimal value for k that …
classification knnI am using the LogisticRegression() method in scikit-learn on a highly unbalanced data set. I have even turned the class_…
machine-learning scikit-learn classification logistic-regressionWhat is the difference between back-propagation and feed-forward neural networks? By googling and reading, I found that in feed-forward there …
machine-learning neural-network classification backpropagationAlright. Now this question is pretty hard. I am going to give you an example. Now the left numbers are …
algorithm classification cluster-analysis confusion-matrixSorry, I am new to WEKA and just learning. In my decision tree (J48) classifier output, there is a confusion …
classification weka decision-treeI am using few data sets available online and trying to visualize tree. However, it does not let me visualize …
data-visualization classification weka decision-treeI'm doing a multiclass text classification in Scikit-Learn. The dataset is being trained using the Multinomial Naive Bayes classifier having …
python text machine-learning scikit-learn classificationWhat is the difference between categorical_accuracy and sparse_categorical_accuracy in Keras? There is no hint in the documentation …
python keras deep-learning neural-network classification