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Mendeley readers
| Chapter title |
Interpretability via Random Forests
|
|---|---|
| Chapter number | 3 |
| Book title |
Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
|
| Published by |
Springer, Cham, January 2022
|
| DOI | 10.1007/978-3-031-12402-0_3 |
| Book ISBNs |
978-3-03-112401-3, 978-3-03-112402-0
|
| Authors |
Bénard, Clément, Veiga, Sébastien Da, Scornet, Erwan |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Student > Ph. D. Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Earth and Planetary Sciences | 1 | 50% |