This quiz is sponsored by DeepAlgorithms.in, a leading data science / machine learning training/consultancy provider (classroom coaching / online courses) based out of Hyderabad, India. Contact DeepAlgorithms to know details about their upcoming classroom/online training sessions. These questions can as well be used for checking/testing your for knowledge on data science for upcoming interviews. Following are some of the topics which are covered as part of this quiz:
- Classification
- Decision trees
- Ensemble model
- SVM
- KNN
In Classification Model, Which Technique can help you to choose a threshold that balance sensitivity and specificity
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Wrong!
In Decision Tree, by comparing the impurity across all possible splits in all possible Predictors, the next split is choosen. How we can measure the Impurity ?
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Wrong!
How we can avoid the overfitting in Decision Tree
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Wrong!
Predictive Errors are due to
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Wrong!
Random Forest Modeling (Ensemble Modeling) uses
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Wrong!
Gradient Boosting (Ensemble Modeling) uses
Correct!
Wrong!
Support Vector Machines are based on the concept of decision planes that define decision boundaries. Which technique used to identify the right hyperplances
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Which one is NOT used as a Kernel in Support Vector Machine Modeling
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Wrong!
To Identify the similar(neighbouring) records, K-Nearest Neighbous uses which distance metrics
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Wrong!
Machine Learning (Decision Trees, SVM) Quiz by DeepAlgorithms.in
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