Supervised ML Foundations Quiz

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Basics of supervised learning and regression.

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Froggy Jumps Supervised ML Foundations QuizVersión en línea Basics of supervised learning and regression. por sherin joyson 1 What is supervised learning? a Learning from labeled data b Learning by trial and error c Learning from unlabeled data 2 Which is a type of supervised learning for predicting a continuous value? a Clustering b Regression c Classification 3 What measures linear association between variables? a Causation b Convolution c Correlation 4 Which algorithm is commonly used for regression? a Naive Bayes b Linear Regression c K-Means clustering 5 What is the difference between correlation and causation? a Correlation doesn't imply causation b Correlation is always stronger than causation c Causation implies correlation 6 What is a typical way to reduce overfitting in supervised learning? a Training on more labeled data without validation b Increasing model complexity c Regularization 7 What does a confusion matrix summarize in classification? a TP, FP, TN, FN counts b Regression coefficients c Feature importances 8 What is underfitting in a model? a Model too simple to capture patterns b Too much training data c Model too noisy 9 Why is feature scaling used in many regression algorithms? a To normalize ranges for some algorithms b To increase data size c To change labels 10 What indicates a strong positive correlation coefficient? a Close to 0 b Close to -1 c Close to +1

Froggy Jumps

Supervised ML Foundations QuizVersión en línea

Basics of supervised learning and regression.

por sherin joyson

What is supervised learning?

Learning from labeled data

Learning by trial and error

Learning from unlabeled data

Which is a type of supervised learning for predicting a continuous value?

Clustering

Regression

Classification

What measures linear association between variables?

Causation

Convolution

Correlation

Which algorithm is commonly used for regression?

Naive Bayes

Linear Regression

K-Means clustering

What is the difference between correlation and causation?

Correlation doesn't imply causation

Correlation is always stronger than causation

Causation implies correlation

What is a typical way to reduce overfitting in supervised learning?

Training on more labeled data without validation

Increasing model complexity

Regularization

What does a confusion matrix summarize in classification?

TP, FP, TN, FN counts

Regression coefficients

Feature importances

What is underfitting in a model?

Model too simple to capture patterns

Too much training data

Model too noisy

Why is feature scaling used in many regression algorithms?

To normalize ranges for some algorithms

To increase data size

To change labels

What indicates a strong positive correlation coefficient?

Close to 0

Close to -1

Close to +1

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Supervised ML Foundations Quiz

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Froggy Jumps

Supervised ML Foundations QuizVersión en línea

por sherin joyson

What is supervised learning?

Which is a type of supervised learning for predicting a continuous value?

What measures linear association between variables?

Which algorithm is commonly used for regression?

What is the difference between correlation and causation?

What is a typical way to reduce overfitting in supervised learning?

What does a confusion matrix summarize in classification?

What is underfitting in a model?

Why is feature scaling used in many regression algorithms?

What indicates a strong positive correlation coefficient?

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