
Post-Test (Regression & Time-Series)
Quiz
•
Computers
•
Professional Development
•
Practice Problem
•
Hard
Rahman Kesuma
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10 questions
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1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Perbedaan utama antara regresi dan klasifikasi adalah ...
Jumlah fitur (X) yang dipertimbangkan
Tipe data fitur (X) yang digunakan
Jumlah variabel target (y) yang dipertimbangkan
Tipe data variabel target (y) yang dipertimbangkan
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Regresi merupakan task yang termasuk dalam kategori pembelajaran ...
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Dimensionality Reduction
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Pada estimasi parameter terbaik untuk suatu fungsi regresi, tujuan utama adalah...
Meminimumkan error
Memaksimalkan error
Meminimumkan running-time
Memaksimalkan running-time
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Regresi linier tetap dapat digunakan meskipun hubungan fitur data dan variabel target tidak bersifat linier. Pernyataan tersebut benar atau salah?
Benar
Salah
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Kode untuk mengakses module dari sklearn pada penerapan regresi linier adalah...
import sklearn
from sklearn import LinearRegression
from sklearn.linear_model import LinearRegression
from sklearn.LinearRegression import linear_model
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Pada regression tree, tingkat homogenitas dari suatu sample numerik diperoleh dengan menerapkan ...
Variance
Mean
Standard Deviation
Error
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Berbeda dengan decision tree classification, decision tree regression tidak menggunakan konsep impurity dalam pembentukan pohon keputusannya. Apakah pernyataan tersebut benar?
Benar
Salah
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