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GitHub / szilard/xgboost-adv-workshop-la issues and pull requests
#14 - question or to discuss: when breaking up a higher dimensional dataset (e.g. latitude, longitude, values) into blocks, should blocks be overlapping?
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State: open - Opened by ikukuyeva over 8 years ago
#13 - question or to discuss: when breaking up dataset into blocks, should all rows across blocks be distinct?
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State: open - Opened by ikukuyeva over 8 years ago
#12 - question or to discuss: sensitivity to initial conditions especially in assigning default branch directions for missing data
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State: open - Opened by ikukuyeva over 8 years ago
- 1 comment
#11 - question: lessons learned in developing the algorithm? things that didn't work?
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State: open - Opened by ikukuyeva over 8 years ago
#10 - The columns ordering change between train and predict
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State: open - Opened by damienbenveniste over 8 years ago
#9 - The Random Forest Through Xgboost
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State: open - Opened by damienbenveniste over 8 years ago
#8 - question: future plan of xgboost
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State: open - Opened by lihang00 over 8 years ago
- 1 comment
#7 - question or to discuss: how to find optimal parameters of xgb?
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State: open - Opened by lihang00 over 8 years ago
- 5 comments
#6 - to discuss: main points of xgboost paper on arxiv
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State: open - Opened by szilard over 8 years ago
- 7 comments
#5 - question: distribution of scores
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State: open - Opened by szilard over 8 years ago
- 2 comments
#4 - to discuss: Kaggle tips and tricks - someone lightening talk?
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State: open - Opened by szilard over 8 years ago
- 1 comment
#3 - to discuss: XGBoost vs alternatives
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State: open - Opened by szilard over 8 years ago
#2 - to discuss: fast real-time scoring
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State: open - Opened by szilard over 8 years ago
- 1 comment
#1 - to discuss: categorical data best practices
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State: open - Opened by szilard over 8 years ago