Questions tagged [mlr]

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

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R, Multiple Linear Regression, variables expressed as percentage

I wasn't able to find any answers to the following question on the www, so I am hoping you will be able to help me! I am running a simple multiple regression. All of my variables are percentages, that ...
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1answer
63 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)...
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50 views

Why does the accuracy of leave-one-out CV change between runs for my kNN task?

I'm getting into ML, working through the book Machine Learning with R, the Tidyverse and MLR. Early on the concept of cross validation is introduced as a means to gauge the ability of my model to work ...
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MLR: Does scaling a predictor variable also scale the standard error of that predictor variable?

In MLR, say we have a predictor value $\hat\beta_1=0.5$ with $SE(\hat\beta_1)=0.25$. Say also that in our model, $\hat\beta_1$ represents how many inches you grow by eating 10 carrots per day. If I ...
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58 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 ...
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25 views

How to get boundary points that are at interface of differnet classes in multilabel classification dataset

I am working on finding points which are at boundary of different classes. In other words finding points on which a classifier would be most confused or uncertain about. For a setting like multi label ...
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192 views

R alternative to scikit-learn [closed]

As a statics researcher, I've been using R since university and I know it quite well, I also know that it's immediate, but it quickly gets chaotic, and this also happens because of the variety and ...
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1answer
568 views

Making a residual plot in multiple linear regression

I need to make a residual plot and I was wondering whether I make the plots in multiple linear regression on one independent variable at a time (like making a simple linear regression) or the all of ...
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11 views

Significance between classification models using one classifier and multiple tasks

I have run a benchmark classification experiment and I would like now to compare if the models are significantly different or not. The benchmark experiment has following characteristics: ...
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1answer
163 views

R mlr - How does tuneThreshold work?

I would like to tune the threshold for the following classification task using tuneThreshold in conjunction with a learner parameter. I first tried to tune the ...
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2answers
180 views

How do I fit models with predetermined covariates?

I'm trying to fit a multiple linear regression model. It has 10 variables, 2 of which are specified (e.g. $\beta_4 = 0.5$, $\beta_7 = 0.77$). How do I go about fitting this in R? I need to find the ...
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47 views

Multiple regression results help

For my first ever research paper I've run a hierarchal multiple linear regression with two predictors and one outcome variable, however I don't understand my results. I've found predictor A to be a ...
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218 views

How could I do parameter tuning with feature selection in R package mlr?

In this project, I am trying to tune the parameters(especially the step number parameter) of the CoxBoost model for survival analysis. I have more features than samples and many features are highly ...
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248 views

Predicting house pricing using MLR

My problem I want to predict housing prices in a city (for an upcoming year). My solution Create a MLR, where average housing price is dependent and macroeconomic fundamentals (population, gdp, ...
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2k views

mlr compared to caret

I’ve been using mlr a little to learn about machine learning, but recently found out about caret. The way I understand it is that both are wrappers to various ML packages, but have slightly different ...
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245 views

Poor model fit - Difference between SEM and MLR

For a study I am researching a quite simple research model (7 IVs - 1 DV), in which I am not interested in underlying relations between the IVs: the relation between the IVs and the DV is all that ...
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444 views

Generate ensemble of classifiers based on predefined feature subsets in R using mlr

I would like to create an ensemble classifier for a dataset and use different classification models for different subsets of features (these feature subsets are predefined as the data set I am working ...