
Kuis Machine Learning
Quiz
•
Computers
•
12th Grade
•
Practice Problem
•
Easy
Lia Kamelia
Used 2+ times
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14 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Apa yang menjadi dasar dari algoritma Naive Bayes?
Kernel Function
Teorema Naive
K-Nearest Neighbour
Teorema Bayes
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Apa yang dimaksud dengan hyperplane dalam algoritma Support Vector Machine 2D?
Sebuah garis
Sebuah bidang
Sebuah subruang
Sebuah titik
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Bagaimana cara kerja algoritma K-Nearest Neighbour dalam mengklasifikasikan objek?
Mencari objek terdekat
Menggunakan kernel function
Menghitung probabilitas
Mencari objek terjauh
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Apa kelebihan dari algoritma Naive Bayes?
Membutuhkan banyak data latih
Bekerja dengan noise
Efektif pada dataset besar
Tidak prone to overfitting
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Kernel yang default digunakan dalam Support Vector Machine adalah?
Kernel Sigmoid
Kernel RBF
Kernel Polinomial
Kernel Linear
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Apa yang dilakukan SVM untuk memaksimalkan performa model?
Maksimalkan margin
Menggunakan kernel
Mencari hyperplane
Meminimalkan margin
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Apa kelemahan utama dari algoritma Support Vector Machine?
Efisien untuk dataset besar
Tidak sensitif terhadap kernel
Komputasi intensif
Bekerja dengan noise
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