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Quiz Machine Learning

Quiz by Syarifah Permai

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31 questions
Show answers
  • Q1

    Dalam Pemodelan ada 2 variabel yaitu Independent variables and Dependent variable

    true
    false
    True or False
    30s
  • Q2

    Jika Variabel dependen merupakan variabel numerik, apakah metode yang bisa digunakan untuk memprediksi nilai dari varibel dependen tersebut?

    Logistic Regression

    Naive Bayes

    K-Means

    Linear Regression

    30s
  • Q3

    Which algorithm is based on the concept of probability theory and Bayes' theorem?

    Naive Bayes

    Support Vector Machine (SVM)

    K-Means

    Decision Tree

    30s
  • Q4

    Proses untuk mengatasi missing values dan data yang tidak konsisten disebut dengan

    Building a Model

    Data Pre-Processing

    Data Gathering

    Model Evaluation

    30s
  • Q5

    Which algorithm is suitable for finding patterns in data based on similarity measures?

    Naive Bayes

    Random Forest

    K-Nearest Neighbors

    Support Vector Machine (SVM)

    30s
  • Q6

    Berikut ini yang termasuk dalam Machine Learning, KECUALI

    Unsupervised Learning

    Reinforcement Learning

    Transfer Learning

    Supervised Learning

    45s
  • Q7

    Which algorithm is used for ensemble learning by combining multiple weak learners to create a strong learner?

    K-Means

    AdaBoost

    Decision Tree

    Linear Regression

    30s
  • Q8

    Berikut ini yang termasuk dalam Machine Learning Algorithms, KECUALI

    Regression

    Classification

    Hypothesis Testing

    Clustering

    45s
  • Q9

    Which algorithm is known for its ability to handle non-linear relationships between input and output?

    Linear Regression

    K-Nearest Neighbors

    Support Vector Machine (SVM)

    Decision Tree

    30s
  • Q10

    Artificial Intelligence merupakan bagian dari Machine Learning

    false
    true
    True or False
    30s
  • Q11

    Which algorithm is used for finding patterns in data through unsupervised learning?

    Naive Bayes

    K-Means

    Logistic Regression

    Random Forest

    30s
  • Q12

    Berikut ini contoh dari hasil analisis

    Question Image

    Hypothesis Testing

    Clustering

    Classification

    Regression

    30s
  • Q13

    Which algorithm is useful for handling high-dimensional data?

    Naive Bayes

    K-Nearest Neighbors

    Principal Component Analysis (PCA)

    AdaBoost

    30s
  • Q14

    Prediksi Nilai mahasiswa jika dia belajar selama 10 jam.

    Jika model regresinya berikut:

    Nilai = 20 + 6 Jam belajar

    26

    20

    80

    60

    60s
  • Q15

    Which algorithm is used for both classification and regression tasks with a hyperplane separating classes in high-dimensional space?

    Support Vector Machine

    Random Forest

    Decision Tree

    K-Means

    30s

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