题目内容
（请给出正确答案）
A、Cross-validation can be used to determine a good value by using an independent dataset to validate the K values.
B、Low values for K (like k=1 or k=2) can be noisy and subject to the effect of outliers.
C、A large k value can reduce the overall noise so the value for 'k' can be as big as possible.
D、Historically, the optimal K for most datasets has been between 3-10.
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B．Identify a? research topi
C．Narrow the topic down as much as possible
D．Review the literature on the topic as completely as possible
E．State the problem in a question form.
F．Translate or turn your research question into a thesis statement.
A、split
B、sustain
C、thrust
D、thrive
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C、How to make your writing vivid & clear?
D、All of them
A、after 6 weeks later
B、after 4 weeks later
C、after 8 weeks later
D、after 2 weeks later
A、Eager learners would generate a model for classification while lazy learner would not.
B、Eager learners classify the turple based on its similarity to the stored training turple while lazy learner not.
C、Eager learners simply store data (or does only a little minor processing) while lazy learner not.
D、Lazy learner would generate a model for classification while eager learner would not.
A、How to measure similarity?
B、How to choose "k"?
C、How are class labels assigned?
D、How to decide the distance?
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