Timeline for Are Decision Trees Robust to Outliers
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Mar 19, 2019 at 14:58 | comment | added | oW_ | Variance reduction is used for regression trees and, again, the variance refers to the variance in the target variable, not the inputs. Also the question was about classification. | |
| Mar 19, 2019 at 11:07 | comment | added | Rookie_123 | @But if the technique used for splitting is variance reduction then while calculating the variance/standard deviation of two splitted groups(child nodes) vs the non-splitted group(parent node) outlier will have influence | |
| Mar 18, 2019 at 15:14 | comment | added | oW_ | after a node splits the data into two groups you only need to know the labels (or their counts) in each group to determine how good the split is (the outlier in the input variable has no influence on the calculation) | |
| Mar 18, 2019 at 5:06 | comment | added | Rookie_123 |
Can you please elaborate on based on the sample proportions in each split region. What do you mean by this ?
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| Aug 24, 2018 at 23:06 | vote | accept | Jishan | ||
| Aug 26, 2018 at 20:04 | |||||
| Aug 24, 2018 at 19:55 | history | answered | oW_ | CC BY-SA 4.0 |