Predictive Analytics with TensorFlow 5.2: Using kNN for Predictive Analytics

What type of learning algorithm is KNN?

• Reinforcement learning

• Semi-supervised learning

• Supervised learning

• Unsupervised learning

Which of the following is NOT a common application of KNN?

• Image generation

• Genetic expression profiling

• Data compression

• Economic forecasting

In KNN, what is the primary goal when using a labeled dataset?

• To generate new data

• To reduce dimensionality

• To predict labels from features

• To cluster data points

What is the purpose of Min-Max scaling in KNN implementation?

• To normalize features within a specific range

• To enhance feature correlation

• To increase the dataset size

• To remove outliers

Which distance metric is used in the example implementation of KNN?

• Euclidean distance

• Manhattan distance

• Hamming distance

• Cosine similarity

What is the role of the hyperparameter 'K' in KNN?

• It specifies the batch size

• It defines the learning rate

• It sets the number of nearest neighbors considered

• It determines the number of features

Why is accuracy not a significant metric for evaluating KNN in this context?

• Because accuracy is always low for KNN

• Because KNN is not a classification algorithm

• Because the dataset is too small

• Because the task involves predicting continuous values