Data Science Lecture 10: Training, Testing, and Validation Sets

We need both validation and testing sets to evaluate the model's performance and ensure that it can generalize well.

The training set is used for the model to learn the behavior and patterns in the data.

K-fold cross-validation is a technique to validate the model's performance by dividing the dataset into k subsets and using each subset as the testing set while the remaining k-1 subsets are used for training.

<p>The confusion matrix is used to evaluate the performance of a classification model by comparing the actual and predicted classes.</p> Signup and view all the answers

<p>The different types of cross-validation mentioned are K-fold cross-validation and Holdout cross-validation.</p> Signup and view all the answers

<p>It is important to include both predictor variables and the corresponding output variable to train the model to understand the relationship between the input and output and make accurate predictions.</p> Signup and view all the answers

<p>To evaluate the performance of the model and ensure that it can generalize well to new, unseen data points.</p> Signup and view all the answers

<p>To increase the generalizing capability of the model on new unseen data and to avoid overfitting the test data.</p> Signup and view all the answers

<p>To evaluate deep learning models on a limited data sample and to perform model evaluation and resampling.</p> Signup and view all the answers

<p>It is a method where the data sample is split into 'k' number of equal-sized partitions, and one fold is used for testing while the other K-1 folds are used for training.</p> Signup and view all the answers

<p>Whether the model has been overfitted.</p> Signup and view all the answers

<p>To ensure that the model was not overfitted.</p> Signup and view all the answers

<p>To find the optimal values for the hyperparameters of the used model.</p> Signup and view all the answers

<p>Evaluating on test data many times will quickly overfit the test data.</p> Signup and view all the answers

<p>One partition is used for testing, and the remaining K-1 partitions are used for training.</p> Signup and view all the answers

<p>The number of groups that a given data sample is to be split into.</p> Signup and view all the answers

<p>Identifying patterns and connections within large amounts of data</p> Signup and view all the answers

<p>Audio Data</p> Signup and view all the answers

<p>60 TB</p> Signup and view all the answers

<p>Identifying valuable patterns in large datasets</p> Signup and view all the answers

<p>Finding useful patterns and relationships within large datasets</p> Signup and view all the answers

<p>Google</p> Signup and view all the answers

<p>Extracting meaningful patterns from data</p> Signup and view all the answers

<p>Predicting stock prices</p> Signup and view all the answers

<p>Statistical methods</p> Signup and view all the answers

<p>Data analysis and business intelligence</p> Signup and view all the answers

<p>To generalize patterns based on certain words or sequences of words</p> Signup and view all the answers

<p>It is built on empirical knowledge and historical observations</p> Signup and view all the answers

<p>Natural language processing</p> Signup and view all the answers

<p>Both a and b</p> Signup and view all the answers

<p>To make evidence-based decisions</p> Signup and view all the answers

<p>To generalize patterns based on certain words or sequences of words to identify abusive content</p> Signup and view all the answers