Questions tagged [mlr]
"mlr" is an R Package focussing on machine learning. The abbreviation "mlr" stands for "machine learning in R"
26 questions
4 votes
1 answer
89 views
Confused about the utility of nested cross-validation vs k-fold cross-validation
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 ...
2 votes
0 answers
41 views
Should spatial models be tuned with spatial resampling techniques?
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 ...
0 votes
1 answer
119 views
Why multiple linear regression perform better than single layer neural network in predicting time?
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 ...
0 votes
0 answers
76 views
normal qq plot and OLS
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 ...
0 votes
0 answers
123 views
How to select features while keeping covariates in mlr3
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 ...
1 vote
0 answers
747 views
Error "Feature names stored in `object` and `newdata` are different!" using xgboost in mlr package [closed]
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: ...
3 votes
1 answer
326 views
Multiple Linear Regression with more variables than samples
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)...
0 votes
1 answer
286 views
What is the default feature importance for classif.randomForestSRC in mlr?
Below is the code I used, "ano.cla.filter" is a filtering method defined by myself ...