Machine Learning Flash

Front

In the context of machine learning, what is 'overfitting'?

Back

When a model is too complex and captures noise in the training data

Front

What is the main goal of unsupervised learning?

Back

To discover hidden patterns in data without labels

Front

What does 'cross-validation' in machine learning refer to?

Back

A technique for evaluating a model by partitioning the data

Front

In machine learning, what is 'feature selection' primarily used for?

Back

To identify the most important variables in the dataset

Front

Neural network in machine learning

Back

An algorithm inspired by the structure and function of the human brain

Front

Which of these is a common metric for evaluating the performance of a regression model? Options:

1. Accuracy 

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2. Precision and Recall 

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3. Mean Squared Error 

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4. F1 Score 

Back

Mean Squared Error

Front

Why is data preprocessing important in machine learning?

Back

To ensure the data is in a suitable format for analysis

Front

What is 'bias' in the context of machine learning?

Back

The model's tendency to consistently learn the wrong thing 

Front

Which technique is used to handle imbalanced datasets in supervised learning?

Back

Data augmentation

Front

Ensemble learning

Back

Combining multiple machine learning models to improve performance