For questions related to statistical prediction, especially for programming tasks.
I'm using linear_model.LinearRegression from scikit-learn as a predictive model. It works and it's perfect. I have a problem …
python machine-learning scikit-learn linear-regression predictionI am receiving the error: ValueError: Wrong number of items passed 3, placement implies 1, and I am struggling to figure out …
python pandas prediction data-sciencedataset = read.csv('dataset/housing.header.binary.txt') dataset1 = dataset[6] #higest positive correlation dataset2 = dataset[13] #lowest negative correlation dependentVal= dataset[14] #…
r classification prediction rpartI found peculiarity while using predict and lm function in R. I got different results for data frame and vector …
r prediction lmI have a dataframe. first column contains my the predictive score (range from 0 to 100, smaller values is expected to be …
r predictionWith programming, it is never "random". Even the random generator uses an algorithm to predict a random number. But, if …
random predictionI am writing a very basic program to predict missing values in a dataset using scikit-learn's Imputer class. I have …
python numpy scikit-learn prediction imputationI'm in the process of attempting to learn to work with neural networks in R. As a learning problem, I've …
r regression prediction kaggleI'm tring to use neuralnet for prediction. Create some X: x <- cbind(seq(1, 50, 1), seq(51, 100, 1)) Create Y: y <…
r formula predictionI ran a regression: CopierDataRegression <- lm(V1~V2, data=CopierData1) and my task was to obtain a 90% confidence …
r regression linear-regression prediction lm