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fix: remove url
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be-marc committed Jul 22, 2024
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -44,7 +44,7 @@ Successor of [mlr](https://github.com/mlr-org/mlr).
- [useR2019 talk on mlr3](https://www.youtube.com/watch?v=wsP2hiFnDQs)
- [useR2019 talk on mlr3pipelines and mlr3tuning](https://www.youtube.com/watch?v=gEW5RxkbQuQ)
- [useR2020 tutorial on mlr3, mlr3tuning and mlr3pipelines](https://www.youtube.com/watch?v=T43hO2o_nZw)
- [Recorded talk about mlr3spatiotempcv and mlr3spatial at OpenDataScience Europe Conference 2021 in Wageningen, NL](https://av.tib.eu/media/55271)
<!-- - [Recorded talk about mlr3spatiotempcv and mlr3spatial at OpenDataScience Europe Conference 2021 in Wageningen, NL](https://av.tib.eu/media/55271) -->
* **Courses/Lectures**
- The course [Introduction to Machine learning (I2ML)](https://slds-lmu.github.io/i2ml/) is a free and open flipped classroom course on the basics of machine learning. `mlr3` is used in the [demos](https://github.com/slds-lmu/lecture_i2ml/tree/master/code-demos-pdf) and [exercises](https://github.com/slds-lmu/lecture_i2ml/tree/master/exercises).
* **Templates/Tutorials**
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8 changes: 3 additions & 5 deletions README.md
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Expand Up @@ -47,9 +47,7 @@ Status](https://www.r-pkg.org/badges/version-ago/mlr3)](https://cran.r-project.o
mlr3tuning](https://www.youtube.com/watch?v=gEW5RxkbQuQ)
- [useR2020 tutorial on mlr3, mlr3tuning and
mlr3pipelines](https://www.youtube.com/watch?v=T43hO2o_nZw)
- [Recorded talk about mlr3spatiotempcv and mlr3spatial at
OpenDataScience Europe Conference 2021 in Wageningen,
NL](https://av.tib.eu/media/55271)
<!-- - [Recorded talk about mlr3spatiotempcv and mlr3spatial at OpenDataScience Europe Conference 2021 in Wageningen, NL](https://av.tib.eu/media/55271) -->
- **Courses/Lectures**
- The course [Introduction to Machine learning
(I2ML)](https://slds-lmu.github.io/i2ml/) is a free and open
Expand Down Expand Up @@ -143,7 +141,7 @@ measure = msr("classif.acc")
prediction$score(measure)
```

## classif.acc
## classif.acc
## 0.9651163

### Resample
Expand All @@ -168,7 +166,7 @@ rr$score(measure)[, .(task_id, learner_id, iteration, classif.acc)]
rr$aggregate(measure)
```

## classif.acc
## classif.acc
## 0.938927

## Extension Packages
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