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SISA CSPAI Exam - Topic 6 Question 18 Discussion

How does machine learning improve the accuracy of predictive models in finance?
C) By continuously learning from new data patterns to refine predictions
A) By using historical data patterns to make predictions without updates
B) By relying exclusively on manual adjustments and human input for predictions.
D) By avoiding any use of past data and focusing solely on current trends

SISA CSPAI Exam - Topic 6 Question 18 Discussion

Actual exam question for SISA's CSPAI exam
Question #: 18
Topic #: 6
[All CSPAI Questions]

How does machine learning improve the accuracy of predictive models in finance?

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Suggested Answer: C

by Mitsue at Jul 01, 2026, 07:30 PM

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Stephaine
2 days ago
Really? I doubt C is as effective as they say.
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Corinne
7 days ago
D seems totally off; past data is crucial for predictions.
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Maxima
12 days ago
I can't believe some people think B is a good approach!
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Timothy
17 days ago
A is misleading; models need updates to stay accurate.
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Tayna
22 days ago
C is definitely the way to go! Continuous learning is key.
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Andra
28 days ago
I’m a bit confused about option D; it seems counterintuitive to ignore past data when predicting future trends.
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Fidelia
1 month ago
I feel like option C makes the most sense since it mentions refining predictions, which is a key aspect of machine learning.
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Marylyn
1 month ago
I remember a practice question that emphasized the importance of historical data patterns, but I don't think it was about making predictions without updates.
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Cristal
1 month ago
I think machine learning improves accuracy by continuously learning from new data, but I'm not entirely sure if that's the main point.
upvoted 0 times
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