Estimation of minimum sample size for identification of the most important features: a case study providing a qualitative B2B sales data set
An important task in machine learning is to reduce data set dimensionality, which in turn contributes to reducing computational load and data collection costs, while improving human understanding and interpretation of models. We introduce an operational guideline for determining the minimum number o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Operational Research Society
2017-01-01
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| Series: | Croatian Operational Research Review |
| Online Access: | http://hrcak.srce.hr/file/285662 |