Overfitting with Classification Trees

Publicado em: 21 Agosto 2023
no canal de: Orange Data Mining

3,117

In this video, we examine how classification trees work with the Iris dataset, assess model accuracy using the Predictions widget, and plot the results in the Distributions widget. The tree performs well, with a 98% accuracy rate. We also experiment with randomized data and observe that the tree still makes mostly accurate predictions.

This video is a part of Introduction to Data Science video series that dives into machine learning, visual analytics, and joys of interactive data analysis using Orange Data Mining software (https://orangedatamining.com).
SUBSCRIBE to our channel: / orangedatamining

The development of this video series was supported by grants from the Slovenian Research Agency (including P2-0209, V2-2274, and L2-3170), Slovenia Ministry of Digital Transformation, European Union (including xAIM and ARISA) and Google.org/Tides foundation.

#machinelearning #orange #visualanalytics #datamining
__

Written by: Blaž Zupan (http://biolab.si/blaz)
Presented by: Noah Novšak
Production and edit: Lara Zupan
Intro/outro: Agnieszka Rovšnik
Music by: Damjan Jović – Dravlje Rec
Orange is developed by Biolab at University of Ljubljana (https://www.biolab.si)

Nesta página do site você pode assistir ao vídeo on-line Overfitting with Classification Trees duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Orange Data Mining 21 Agosto 2023, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 3,117 vezes e gostou 28 espectadores. Boa visualização!

298,765

6.5 mil