- A Your decision trees are too shallow
- B You need to increase the learning rate
- C You are overfitting
- D All the options
- GK Home
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MMachine Learning - Exploring the Model
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PPerformance Evaluation Measures
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SStructured Data Classification
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CClustering
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NNeural Networks
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KKernel Methods
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SSupport Vector Machine
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LLogistic Regression
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LLinear Regression
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DDecision Trees
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SSupervised & Unsupervised Learning
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GGradient Descent
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UUnstructured Data Classification
Machine Learning Unstructured Data Classification
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Q: Imagine you have just finished training a decision tree for spam classification, and it is showing abnormal bad performance on both your training and test sets. Assume that your implementation has no bugs. What could be the reason for this problem?
Unstructured Data Classification
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