Which method should you use?
You need to select a feature extraction method. Which method should you use?A . Spearman correlationB . Mutual informationC . Mann-Whitney testD . Pearson’s correlationView AnswerAnswer: A Explanation: Spearman's rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function. Note: Both Spearman's...
How should you complete the code segment?
HOTSPOT You need to use the Python language to build a sampling strategy for the global penalty detection models. How should you complete the code segment? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: import...
What should you do?
You need to implement a feature engineering strategy for the crowd sentiment local models. What should you do?A . Apply an analysis of variance (ANOVA).B . Apply a Pearson correlation coefficient.C . Apply a Spearman correlation coefficient.D . Apply a linear discriminant analysis.View AnswerAnswer: D Explanation: The linear discriminant analysis...
Which environment should you use?
You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: ✑ Models must be built using Caffe2 or Chainer frameworks. ✑ Data scientists must be able to use a data science...
Which technique should you use?
You need to implement a model development strategy to determine a user’s tendency to respond to an ad. Which technique should you use?A . Use a Relative Expression Split module to partition the data based on centroid distance.B . Use a Relative Expression Split module to partition the data based...
Which module should you use?
You are solving a classification task. The dataset is imbalanced. You need to select an Azure Machine Learning Studio module to improve the classification accuracy. Which module should you use?A . Fisher Linear Discriminant Analysis.B . Filter Based Feature SelectionC . Synthetic Minority Oversampling Technique (SMOTE)D . Permutation Feature ImportanceView...
Does the solution meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you...
Which three modules should you recommend be used in sequence?
DRAG DROP You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct...
Which properties should you select?
HOTSPOT You need to set up the Permutation Feature Importance module according to the model training requirements. Which properties should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Accuracy Scenario: You want to...
Which value should you use?
You are solving a classification task. You must evaluate your model on a limited data sample by using k-fold cross validation. You start by configuring a k parameter as the number of splits. You need to configure the k parameter for the cross-validation. Which value should you use?A . k=0.5B...