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Questions tagged [mlr]

"mlr" is an R Package focussing on machine learning. The abbreviation "mlr" stands for "machine learning in R"

4 votes
1 answer
89 views

I am using nested cross validation in mlr3 to tune my model's hyperparameters and gauge its out-of-sample performance. Previously, when I was performing regular k-fold CV, my understanding was that ...
Adverse Effect's user avatar
2 votes
0 answers
41 views

I am working with a dataset, where my target variable is spatialy heterogenous. I´m working in R and use the mlr3 package, for wich the mlr3 book helped me out quite a bit, but there is still a ...
ChickenTartR's user avatar
0 votes
1 answer
119 views

I am doing research on predicting failing time of a component of a machine. Response is failing time of the component of a machine, and the input is location information (consists of integers). I fit ...
wildcat's user avatar
0 votes
0 answers
76 views

Just have a quick question. You have to know by looking at the residual plot and the normal qq plot that the residual should be distributed as normal, average of residuals should be 0 and residuals ...
user398060's user avatar
0 votes
0 answers
123 views

I am doing a classification job using mlr3. There are several covariates besides independent variables (features) in my dataset. I wonder how to select a feature ...
YiweiZhu's user avatar
1 vote
0 answers
747 views

I am trying to make a multilabel classification model for XGBoost. I have one that works for RF, but when I try this code below for XGBoost I get the error: ...
agnesg2g's user avatar
3 votes
1 answer
326 views

I'm currently learning chemometrics for my work and I have a simple question about Multiple Linear Regression (MLR). Just to explain the context: I am simply using UV-Vis-NIR spectra (2500 wavelengths)...
Snedron's user avatar
  • 31
0 votes
1 answer
286 views

Below is the code I used, "ano.cla.filter" is a filtering method defined by myself ...
purod's user avatar
  • 305

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