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AI ✨
Machine Learning Tutorial
BOSS QUIZ
10 questions · 5 minutes · pass at 70% to clear the track.
05:00
Start
Q1.
A useful first step on any new problem is…
from Intro
Use the biggest model possible
Train a baseline model
Skip data exploration
Skip cross-validation
Q2.
ML is most generally…
from Intro
Hard-coded rules
Algorithms that learn from data
A type of database
A scripting language
Q3.
Early stopping helps because…
from Over / Underfitting
It saves disk
It halts training when val performance stops improving
It deletes the model
It is mandatory
Q4.
Hyperparameter search is supported by…
from scikit-learn API
GridSearchCV / RandomizedSearchCV / HalvingSearchCV
tune()
sklearn-hp
estim.search()
Q5.
For regression, a common metric is…
from Metrics
Accuracy
MSE / RMSE / MAE
F1
Recall
Q6.
Overfitting is when…
from Over / Underfitting
Train acc is low
Train acc is high, val acc is much lower
Both are equally bad
Validation is missing
Q7.
ROC AUC measures…
from Metrics
Ranking quality across thresholds
A single point
Calibration
Speed
Q8.
Supervised learning uses…
from Intro
Unlabelled data
Labelled data (x → y)
Rewards
Only synthetic data
Q9.
A random forest is an ensemble of…
from Random Forest
Linear models
Decision trees
k-means runs
Neural networks
Q10.
Every estimator implements…
from scikit-learn API
.fit (and usually .predict / .transform)
A custom API per model
Only .train()
Only .infer()
Submit
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