#Variableimportance - Twitter Hashtag

almost 3 years ago

🌲 #Forests🌲🆕Feature Paper Article Series👏 "#ForestFire Probability Mapping in Eastern Serbia: Logistic Regression versus #RandomForest Method", written by Slobodan Milanović et al. ➡️https://t.co/7fuD0dMkd9 📗 #machinelearning #variableimportance #predictionaccuracy

Forests_MDPI's tweet photo. 🌲 #Forests🌲🆕Feature Paper Article Series👏

"#ForestFire Probability Mapping in Eastern Serbia: Logistic Regression versus #RandomForest Method", written by Slobodan Milanović et al.

➡️https://t.co/7fuD0dMkd9

📗 #machinelearning #variableimportance #predictionaccuracy https://t.co/kOatafT97P

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IIT Comillas @IIT_Comillas

over 4 years ago

#Openaccess #paper by Jaime Pizarroso, José Portela & Antonio Muñoz, researchers at @IIT_Comillas @Comillas_ICAI @UCOMILLAS https://t.co/pbbm6z1sTU #neuralnetworks #sensitivity #analysis #variableimportance #R #NeuralSens

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Vibing... @amunategui

over 6 years ago

Let's compare presenting a project to non-techies using a Jupyter notebook versus a Web App. https://t.co/DevPkmCZej #Variableimportance #ViralML

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Vibing... @amunategui

about 7 years ago

Modeling for Actionable Insights with XGBoost - What Can You Do about Your Predictions? More on the https://t.co/YFD8E5lA1H show. https://t.co/xEQCpLitI0 #Python, #XGBoost #ActionableInsight #VariableImportance

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Vibing... @amunategui

over 7 years ago

Modeling for Actionable Insights with XGBoost - What Can You Do about Your Predictions? More on the https://t.co/HAZwxmEt4Y show. https://t.co/xEQCpLitI0 #Python, #XGBoost #ActionableInsight #VariableImportance

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