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Author Question: Using the k-nearest neighbor machine learning algorithm for classification, larger values of k A) ... (Read 89 times)

sjones

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on: Jul 7, 2018
Using the k-nearest neighbor machine learning algorithm for classification, larger values of k
 
  A) sharpen the distinction between classes.
  B) reduce the effect of noise on the classification.
  C) increase the effect of noise on the classification.
  D) do not change the effect of noise on the classification.

Question 2

Several benefits of Microsoft's ________ are that distributors can check inventory, make transactions, and look up the status of their orders, significantly reducing the number of phone calls, e-mails, and incorrect product shipments.
 
  A) extranet-based order-entry tool
  B) electronic data interchange
  C) customized catalog
  D) auto-responder
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diesoon

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Reply #1 on: Jul 7, 2018
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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sjones

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Reply 2 on: Jul 7, 2018
Wow, this really help

recede

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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