Sensitivity of missing values in classification tree for large sample
Missing values either in predictor or in response variables are a very common problem in statistics and data mining. Cases with missing values are often ignored which results in loss of information and possible bias. The objectives of our research were to investigate the sensitivity of missing data...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , , |
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| வடிவமà¯: | Conference or Workshop Item |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
American Institute of Physics
2011
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| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://psasir.upm.edu.my/57334/ http://psasir.upm.edu.my/57334/ http://psasir.upm.edu.my/57334/1/Sensitivity%20of%20missing%20values%20in%20classification%20tree%20for%20large%20sample.pdf |
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