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中文题目
题目2566 · 机器学习

Choose the Weakest-Link Node to Prune 24

Node A would have leaf error 12 if pruned, while its current subtree has error 7 and 3 leaves. Node B would have leaf error 9 if pruned, while its current subtree has error 6 and 2 leaves. Which node is the weaker link and should be pruned first under cost-complexity pruning?

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题目2568 · 机器学习

Compare Penalized Tree Options 25

A parent node left uncut has SSE 70. A 2-leaf split gives total SSE 44. A 3-leaf subtree gives total SSE 36. If the complexity penalty is 10 per extra leaf relative to the uncut node, which option has the lowest penalized objective?

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题目2554 · 机器学习

Cost-Sensitive Leaf Label 21

A leaf contains 7 positives and 13 negatives. Predicting negative incurs false-negative cost 4 on each hidden positive, while predicting positive incurs false-positive cost 1 on each hidden negative. Which class should the leaf predict?

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题目2559 · 机器学习

Expected Misroutes From a Surrogate Split

A surrogate split agrees with the primary split on 34 of 40 training cases where both features are present. If 12 production cases are missing the primary split feature and are routed by the surrogate, what is the expected number of misroutes?

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题目2556 · 机器学习

Grouped Values and Feasible Thresholds 22

A sorted feature has five distinct-value blocks of sizes [3, 5, 2, 4, 6], and splits are allowed only between distinct-value blocks. If each child leaf must contain at least 6 observations, how many legal thresholds exist?

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题目2553 · 机器学习

Maximum Balanced Depth Numerically 20

A tree starts with 96 observations at the root and every split is perfectly balanced. If each leaf must contain at least 12 observations, what is the maximum possible depth?

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题目2547 · 机器学习

Numeric Weakest-Link Alpha 16

A node has leaf error 18 if pruned into a single leaf. Its current subtree has training error 10 and 3 leaves. What is the weakest-link alpha for pruning this subtree?

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题目2550 · 机器学习

Optimal Leaf Label Under Asymmetric Trading Costs

A classification leaf contains 6 positive cases and 14 negative cases. Predicting positive costs 1 per false positive, while predicting negative costs 4 per false negative. Which class should the leaf predict to minimize expected leaf loss?

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题目2570 · 机器学习

Surrogate Split Agreement Rate 8

A primary split is missing for some rows, so a surrogate split is trained on the M rows where the primary feature is observed. If it sends A of those rows to the same side as the primary split, what is its agreement rate?

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