MLS-C01 · Question #51
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age…
The correct answer is A. Decision tree. To identity fraudulent or not, you need a model with high accuracy and high recall (low false negative). The data in the graph is non-linear. Generally Decision tree gives better result for non- linear data than Naive Bayes classifier…
Question
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided. Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?
Exhibit
Options
- ADecision tree
- BLinear support vector machine (SVM)
- CNaive Bayesian classifier
- DSingle Perceptron with sigmoidal activation function
How the community answered
(27 responses)- A74% (20)
- B4% (1)
- C7% (2)
- D15% (4)
Explanation
To identity fraudulent or not, you need a model with high accuracy and high recall (low false negative). The data in the graph is non-linear. Generally Decision tree gives better result for non- linear data than Naive Bayes classifier. https://datascience.stackexchange.com/questions/6787/are-decision-tree-algorithms-linear-or- https://sebastianraschka.com/Articles/2014_naive_bayes_1.html
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