Timeline for understading the corr heatmap
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| S Mar 30, 2021 at 10:19 | history | suggested | Shayan Shafiq | CC BY-SA 4.0 |
Removed redundant words, fixed grammar
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| Mar 30, 2021 at 5:13 | review | Suggested edits | |||
| S Mar 30, 2021 at 10:19 | |||||
| Feb 14, 2020 at 11:30 | comment | added | Nischal Hp | @slowmonk based on the problem you have at hand, you decide this. Ideally when you do feature reduction, you end up removing highly correlated features. Do take a look at PCA and tsne for feature reduction. You would evalute your model with certain domain knowledge to drop certain features as a permutation combination approach. This could help your model to predict with better accuracy. | |
| Feb 14, 2020 at 11:22 | comment | added | slowmonk | thx if you apply this to the Randomforest,lgb or xgboost what whould you do? you would find any features to remove or something else? | |
| Feb 14, 2020 at 10:52 | history | answered | Nischal Hp | CC BY-SA 4.0 |