Random Forests

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In this video, we explore interpretability in classification trees take a look at large trees using the Pythagorean Tree viewer. We introduce random forests, compare their performance to single trees through cross-validation, and discuss the trade-off between accuracy and interpretability in complex models.

#machinelearning #orange #visualanalytics #datamining
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Presented by: Noah Novšak
Production and edit: Lara Zupan
Intro/outro: Agnieszka Rovšnik
Music by: Damjan Jović – Dravlje Rec
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Is there an additional orange package for processing spatial data? if there is, how do I install it? can machine learning models from orange be run in python-spatial, for example random forest regression? thanks.

nurdinsulistyono-tba
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Great job! Where can I find the interpretation of random forest video?

MrFischvogel
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I'm not finding most widgets that appear in the videos, such as Text Preprocessing, Corpus, etc
Do you know de answer for this ? :)

ismaeldeusmarques
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which softwear is used during the vide0?

BhaumikSolanki-spnz
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I am facing a little difficulty while using the prediction widget. It is showing that the target variable is not in domain. Although i checked my data and i found out that the data is alright. kindly help me in solving my issue. how can i contact you? i tried with a different data also (the heart disease data), it also showed thae the same error.

travellingengineer
welcome to shbcf.ru