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Alle Oberthemen / Telematik / Computational Intelligence / Computational Intelligence VO (442.070 TUGraz 2014)
75
Types of cross-validation?
  • k-fold
  • Split the data into k parts. Use k-1 parts for Training and the last for validation. Repeat k times.
  • 2-fold
  • Split the data into 2 parts. Use each part once for training and validate with the other.
  • Leave-one-out
  • Split the data into as many parts as you have data points. Train with all but one and validate with the one left out.
  • Repeated random sub-sampling
  • Split the dataset randomly k times. Choose independantly how large each validation set is.
Tags:
Quelle: CI Teil 1 Lecture 6
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Karteninfo:
Autor: Sepp Samuel
Oberthema: Telematik
Thema: Computational Intelligence
Schule / Uni: TU Graz
Veröffentlicht: 02.07.2014

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