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xgboost #machinelearning #mathematics #dataanlysis #datascience #machinelearning
2:23
xgboost #machinelearning #mathematics #dataanlysis #datas…
1.1K views3 days ago
YouTubeDataMListic
El estudio probó y comparó tres enfoques de modelos de ensamble—bagging (RF), boosting (XGBoost) y stacking (gcForest)—utilizando 25 factores ambientales y topográficos. El análisis determinó que la altitud, la distancia a los ríos y las residencias, y el uso del suelo son los elementos más influyentes en la ocurrencia de deslizamientos. #randomForest #XGBoost #boosting #stacking
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El estudio probó y comparó tres enfoques de modelos de ensambl…
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Why Do 90% of Kaggle Winners Use THIS Algorithm? 🏆
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bilibili罗永浩的十字路口
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