Classification model using xgboost package
As a valid argument in xgboost model, I converted a character to a factor variable(eg. "A" "B" "C") and further to numeric factor variable(e.g "0" "1" "2"). Which function can I use to convert the numeric factors back to factor variable? I have to use it in a classification model.
Should changing a model's intercept change its Precision and Recall?
GMM Fisher Vector
Can someone give me an example how to count probabilities using Complementary Naive Bayes in Mahout?
Classification results interpretation (TFlearn, Keras)
discretization for feature selection in weka
ROC result interpretation
Classification using Mallet and MaxEntropy
Measuring Error Correlation of Classifiers
caffe: Confused about regression
How to cut a dendrogram in r
Building weka classifier
Does Orange data mining software has multi-layer perceptron classification?
User Classification in RapidMiner - output should be the user based on a fed test data
Error in building mean image file(Caffe)
caffe: probability distribution for regression / expanding classification (softmax layer) to allow 3D output
Does MLE produce a generative or discriminative classifier?