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Which algorithm is commonly used for decision-making tasks in classification models?
Which algorithm is commonly used for decision-making tasks in classification models?A . K-MeansB . Decision TreesC . Principal Component Analysis (PCA)D . Linear RegressionView AnswerAnswer: B
What does API stand for in the context of data sources?
What does API stand for in the context of data sources?A . Application Programming InterfaceB . Advanced Programming IntegrationC . Automated Program IntegrationD . Application Program InterfaceView AnswerAnswer: A
What is the purpose of cross-validation in model building and evaluation?
What is the purpose of cross-validation in model building and evaluation?A . Splitting the dataset into training and testing setsB . Reducing the dataset sizeC . Assessing the model's generalization performanceD . Generating synthetic dataView AnswerAnswer: C
Which of the following best describes unstructured data?
Which of the following best describes unstructured data?A . Data that is organized in rows and columnsB . Data that is difficult to process and lacks a predefined structureC . Data stored in a relational databaseD . Data with a clear schemaView AnswerAnswer: B
In model assessment, what does "cross-validation" aim to address?
In model assessment, what does "cross-validation" aim to address?A . Training a modelB . Overfitting and generalizationC . Data preprocessingD . Model deploymentView AnswerAnswer: B
Which machine learning technique is typically used for building a model to predict a numeric target variable?
Which machine learning technique is typically used for building a model to predict a numeric target variable?A . ClassificationB . RegressionC . ClusteringD . Dimensionality reductionView AnswerAnswer: B
What is "model reevaluation" in the model deployment phase?
What is "model reevaluation" in the model deployment phase?A . The process of data preprocessingB . The process of selecting featuresC . The periodic assessment of a deployed model's performance and potential retrainingD . The evaluation of data distributionView AnswerAnswer: C
What is the significance of the "bias-variance trade-off" in machine learning?
What is the significance of the "bias-variance trade-off" in machine learning?A . It represents the trade-off between underfitting and overfitting.B . It indicates the trade-off between accuracy and precision.C . It refers to the trade-off between the number of features and the model's complexity.D . It is not relevant in...
Which type of model is commonly used for anomaly detection in datasets?
Which type of model is commonly used for anomaly detection in datasets?A . Decision TreesB . Clustering ModelsC . Linear RegressionD . Principal Component Analysis (PCA)View AnswerAnswer: B
Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:
Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted: A . There are no hidden units in the model.B . The number of hidden units is 1.C . The number of hidden units is...
