TA M3 D
Authored by ML IBES
Computers
University
10 Questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Training data yang mempunyai target class adalah….
Insupervised learning
Supervised learning
Unsupervised learning
Semi-supervised learning
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Training data yang tidak mempunyai target class adalah…
Reinforcement learning
Supervised learning
Unsupervised learning
Semi-supervised learning
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Pada saat melakukan pembersihan data masuk kedalam merupakan langkah …
Data preprocessing
Train models
Evaluate model
Deploy model
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Pada saat memilih algoritma fitur atau extract yang dipilih merupakan langkah…
Data preprocessing
Train models
Evaluate model
Deploy model
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Apa yang dimaksud variansi adalah…
variabel dari prediksi yang memberikan kita informasi perserbaran data hasil regression.
variabel dari prediksi yang memberikan kita informasi perserbaran data hasil prediksi.
variabel dari prediksi yang memberikan kita informasi perserbaran data hasil dependen.
variabel dari prediksi yang memberikan kita informasi perserbaran data hasil variabel.
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Pada sintaks dan tampilan berikut, dapat digunakan untuk…
Melihat detail age
Melihat detail statistik
Melihat detail arrays
Melihat detail bmi
7.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Sintaks pd.read_csv digunakan untuk…
membaca file comma-separated values atau biasa dikenal dengan CS menjadi dataframe pandas.
membaca file comma-separated values atau biasa dikenal dengan ATC menjadi dataframe pandas.
membaca file comma-separated values atau biasa dikenal dengan CSV menjadi dataframe pandas.
membaca file comma-separated values atau biasa dikenal dengan SV menjadi dataframe pandas.
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