Explain Classification and Regression?

173

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What do you understand by selection bias?

192

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What do you understand by Precision and Recall?

99

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Explain false negative, false positive, true negative and true positive with a simple example?

90

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What is a Confusion Matrix?

115

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What is the difference between inductive and deductive learning?

148

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How is KNN different from K-means clustering?

126

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What is ROC curve and what does it represent?

108

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What’s the difference between Type I and Type II error?

154

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Is it better to have too many false positives or too many false negatives? Explain.

78

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Which is more important to you – model accuracy or model performance?

82

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What is the difference between Gini Impurity and Entropy in a Decision Tree?

229

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What is the difference between Entropy and Information Gain?

134

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What is Overfitting? And how do you ensure you’re not overfitting with a model?

105

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Explain Ensemble learning technique in Machine Learning?

120

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