Post-Test (Regression & Time-Series)

Post-Test (Regression & Time-Series)

Professional Development

10 Qs

quiz-placeholder

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Post-Test (Regression & Time-Series)

Post-Test (Regression & Time-Series)

Assessment

Quiz

Computers

Professional Development

Hard

Created by

Rahman Kesuma

FREE Resource

10 questions

Show all answers

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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