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Can you elaborate on the concept of bias and variance as they pertain to decision trees? Also, which one poses more of a challenge: high bias or high variance, and why?

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Interview question asked to Machine Learning Engineers interviewing at Cohesity, Pinterest, Deloitte and others: Can you elaborate on the concept of bias and variance as they pertain to decision trees? Also, which one poses more of a challenge: high bias or high variance, and why?.