ML Mastery Quiz

Froggy Jumps

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Test your ML knowledge.

Mohamed Fathi

United Arab Emirates

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ML Mastery Quiz


Froggy Jumps ML Mastery QuizVersion en ligne Test your ML knowledge. par Mohamed Fathi 1 What is supervised learning? a Learning from unlabeled data only b Learning rules without data c Learning from labeled data to predict outcomes 2 Which issue indicates the model performs well on training data but poorly on new data? a Overfitting b Underfitting c Data leakage 3 Which technique helps estimate model performance using multiple data splits? a Cross-validation b Gradient checking c Boosting 4 What is the main goal of regularization? a Increase model size b Reduce overfitting by penalizing complexity c Improve data collection 5 Which optimization method uses gradients to minimize a loss function? a Gradient Descent b Random Search c Grid Search 6 Which loss is common for regression tasks? a Hinge Loss b Mean Squared Error c Cross-Entropy Loss 7 What is feature scaling primarily used for? a Ensure features contribute equally to distance-based models b Increase data size c Remove outliers automatically 8 Which model is an ensemble method that averages predictions? a Neural Network b Boosting c Bagging (e.g., Random Forest) 9 Which activation function is common in neural networks to introduce nonlinearity? a Softmax b Linear c ReLU 10 What does a confusion matrix primarily show? a Model hyperparameters b True/False positives and negatives c Feature importance