K-Nearest Neighbors (KNN) Algorithm
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Questions and Answers

What type of algorithm is K-nearest neighbors (KNN)?

  • Reinforcement learning algorithm
  • Supervised machine learning algorithm (correct)
  • Unsupervised machine learning algorithm
  • Semi-supervised learning algorithm

    • Why is KNN called a lazy learning algorithm?

  • It builds a model immediately after training
  • It doesn’t perform any training when you supply the training data (correct)
  • It requires significant computational resources during training
  • It performs extensive pre-processing before training

    • What kind of problems is KNN mainly used for?

  • Regression problems
  • Classification problems (correct)
  • Association rule learning problems
  • Clustering problems

    • What does KNN do during the training time?

    <p>Stores the data and doesn’t perform any calculations</p> Signup and view all the answers

    Why is KNN considered ideal for data mining?

    <p>It doesn’t build a model until a query is performed on the dataset</p> Signup and view all the answers

    Was ist das Hauptanwendungsgebiet des K-nearest neighbors (KNN) Algorithmus?

    <p>Klassifikationsprobleme lösen</p> Signup and view all the answers

    Warum wird KNN als lazy learning Algorithmus bezeichnet?

    <p>Es führt keine Trainingsberechnungen durch, bis eine Abfrage auf dem Datensatz durchgeführt wird.</p> Signup and view all the answers

    Welche Art von Algorithmus ist K-nearest neighbors (KNN)?

    <p>Nicht-parametrischer Algorithmus</p> Signup and view all the answers

    Was tut der KNN-Algorithmus während der Trainingszeit?

    <p>Er speichert die Daten, führt aber keine Berechnungen durch.</p> Signup and view all the answers

    Warum wird KNN als ideal für Data Mining betrachtet?

    <p>Da es sich gut für die Identifizierung von Mustern in großen Datensätzen eignet.</p> Signup and view all the answers

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