Supervised ML

What is supervised learning?

• A type of learning where the model is trained on unlabeled data

• A type of learning where the model is trained on labeled data

• A type of learning where the model learns from its mistakes

• A type of learning that does not require any training data

In supervised learning, what are the labels used for?

• To reduce the dimensionality of the data

• To cluster the data into different groups

• To provide the correct answers for the model to learn from

• To normalize the data

What is the main goal of a classification algorithm in supervised learning?

• To predict continuous values

• To categorize data into predefined classes

• To find patterns in data

• To reduce the dimensionality of data

Which of the following is a key characteristic of supervised learning?

• It uses labeled data to train the model

• It is used for clustering and association problems

• It does not require a training phase

• It is mainly used for anomaly detection

In the context of supervised learning, what is a training set?

• The data used to test the model

• The data used to validate the model

• The data used to train the model

• The data used to deploy the model

Which of the following is a disadvantage of supervised learning?

• It requires a large amount of labeled data

• It cannot handle complex data patterns

• It does not provide any insights into the data structure

• It always results in overfitting

What is a hyperparameter \(Learning rate, Epoch, Batch Size etc.)in the context of machine learning?

• A parameter that is learned from the data

• A parameter that controls the learning process and is set before training

• A parameter that measures the performance of the model

• A parameter that normalizes the data

What is a labeled dataset in supervised learning?

• A dataset that contains only numeric values

• A dataset that contains features and corresponding target values

• A dataset that is used only for clustering

• A dataset that is used to test the performance of a model

What is a test dataset used for in supervised learning?

• To train the model

• To optimize the model’s hyperparameters

• To evaluate the model’s performance on unseen data

• To preprocess the data

Which of the following is a common type of supervised learning task that can be performed with Teachable Machine?

• Image classification

• Clustering

• Dimensionality reduction

• Outlier detection