Tag random-forest - Esta é a página 85 - GeneraCodice

finding maximum depth of random forest given the number of features

https://www.generacodice.com/pt/articolo/1109658/finding-maximum-depth-of-random-forest-given-the-number-of-features
  machine-learning  -  random-forest
datascience.stackexchange datascience.stackexchange

When to use Random Forest over SVM and vice versa?

https://www.generacodice.com/pt/articolo/1107524/when-to-use-random-forest-over-svm-and-vice-versa
  machine-learning  -  svm  -  classification  -  random-forest
datascience.stackexchange datascience.stackexchange

How to preprocess different kinds of data (continuous, discrete, categorical) before Decision Tree learning

https://www.generacodice.com/pt/articolo/1107279/how-to-preprocess-different-kinds-of-data-continuous-discrete-categorical-before-decision-tree-learning
  data-mining  -  random-forest  -  decision-trees  -  preprocessing  -  data
datascience.stackexchange datascience.stackexchange

How to avoid overfitting in random forest?

https://www.generacodice.com/pt/articolo/1106632/how-to-avoid-overfitting-in-random-forest
  machine-learning  -  r  -  data-mining  -  random-forest  -  predictive-modeling
datascience.stackexchange datascience.stackexchange

Cross validation for C5.0 algorithm

https://www.generacodice.com/pt/articolo/1106515/cross-validation-for-c5-0-algorithm
  machine-learning  -  data-mining  -  classification  -  random-forest  -  decision-trees
datascience.stackexchange datascience.stackexchange

How to combine two different random forest models into one in R?

https://www.generacodice.com/pt/articolo/1106361/how-to-combine-two-different-random-forest-models-into-one-in-r
  machine-learning  -  r  -  random-forest
datascience.stackexchange datascience.stackexchange

Assumptions/Limitations of Random Forest Models

https://www.generacodice.com/pt/articolo/1105853/assumptions-limitations-of-random-forest-models
  random-forest  -  ensemble-modeling
datascience.stackexchange datascience.stackexchange

Random Forest, Type - Regression, Calculation of Importance Example

https://www.generacodice.com/pt/articolo/1105764/random-forest-type-regression-calculation-of-importance-example
  machine-learning  -  r  -  random-forest  -  logistic-regression
datascience.stackexchange datascience.stackexchange

strings as features in decision tree/random forest

https://www.generacodice.com/pt/articolo/1104239/strings-as-features-in-decision-tree-random-forest
  python  -  machine-learning  -  random-forest  -  scikit-learn  -  decision-trees
datascience.stackexchange datascience.stackexchange

Why isn't dimension sampling used with gradient boosting machines (GBM)?

https://www.generacodice.com/pt/articolo/1098849/why-isn-t-dimension-sampling-used-with-gradient-boosting-machines-gbm
  random-forest  -  accuracy  -  gbm  -  ensemble-modeling
datascience.stackexchange datascience.stackexchange
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