For questions related to statistical prediction, especially for programming tasks.
I'm trying to predict on the validation data with pre-trained and fine-tuned DL models. The code follows the example available …
compiler-errors keras predictionI would like to get a confidence score of each of the predictions that it makes, showing on how sure …
python machine-learning scikit-learn probability predictionWhat is the difference between classification and prediction in machine learning?
machine-learning classification prediction definitionI've been exploring the xgboost package in R and went through several demos as well as tutorials but this still …
r machine-learning prediction xgboostIm new to weka and I'm confused with the tool. What I needed to do is im having a data …
dataset data-mining classification weka predictionI'm trying to do a 10-fold cross validation for some glm models that I have built earlier in R. I'm …
r partitioning prediction glm cross-validationI am building a prediction model in python with two separate training and testing sets. The training data contains numerical …
python dataframe scikit-learn prediction dummy-variableI have following model x <- rep(seq(0, 100, by=1), 10) y <- 15 + 2*rnorm(1010, 10, 4)*x + rnorm(1010, 20, 100) id <- NULL …
r prediction confidence-interval mixed-modelsI am using a multiple output model in Keras model1 = Model(input=x, output=[y2, y3]) model1.compile((optimizer='sgd', …
model keras prediction loss multipleoutputsI am trying to predict probabilities in a dataset using glmnet. My code reads: bank <- read.table("http://…
r probability prediction glmnet