DP-100 V3

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B The variation of Class B is very high. You need to resolve imbalances. Which method should you use?A . Partition and Sample B. Cluster Centroids C. Tomek links D....

DRAG DROP You need to correct the model fit issue. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. View AnswerAnswer: Explanation: Step 1: Augment the data Scenario: Columns...

HOTSPOT You create an experiment in Azure Machine Learning Studio- You add a training dataset that contains 10.000 rows. The first 9.000 rows represent class 0 (90 percent). The first 1.000 rows represent class 1 (10 percent). The training set is unbalanced between two Classes. You must increase the number...

DRAG DROP You need to define a process for penalty event detection. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. View AnswerAnswer:

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=0.5...

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...

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 Selection C. Synthetic Minority Oversampling Technique (SMOTE) D. Permutation Feature ImportanceView...

You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments. Which three environments can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . MI.NET Library on...

HOTSPOT You need to identify the methods for dividing the data according to the testing 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: Scenario: Testing You must produce multiple partitions of...

You are performing clustering by using the K-means algorithm. You need to define the possible termination conditions. Which three conditions can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . A fixed number of iterations is executed. B. The residual sum...