query: Finding and using a single (best) decision tree from random forest to evalute a sample
positive_passages.docid: 149239
positive_passages.text: Making a single decision tree from a random forest
negative_passages.docid: 108282
negative_passages.text: How to choose between learning algorithms
negative_passages.docid: 114625
negative_passages.text: Model selection and cross-validation: The right way
negative_passages.docid: 55917
negative_passages.text: Verifying representativeness of a sample, after simple random sampling
negative_passages.docid: 16895
negative_passages.text: "User memory limit exceeded" using Random Forest classification
negative_passages.docid: 152229
negative_passages.text: Decision Tree in LaTeX with TikZ
negative_passages.docid: 94509
negative_passages.text: Statistical methods for data where only a minimum/maximum value is known
negative_passages.docid: 66209
negative_passages.text: What is the equation for random forest?
negative_passages.docid: 121270
negative_passages.text: How does random forest generate the random forest
negative_passages.docid: 79483
negative_passages.text: How do I sample from a discrete (categorical) distribution in log space?
negative_passages.docid: 66215
negative_passages.text: Training a decision tree against unbalanced data
negative_passages.docid: 132761
negative_passages.text: independent variables in Random forest model
negative_passages.docid: 64175
negative_passages.text: How to estimate confidence level for SVM or Random Forest?
negative_passages.docid: 70886
negative_passages.text: Hypothesis testing with the geometric distribution for dummies
negative_passages.docid: 23840
negative_passages.text: How to determine best cutoff point and its confidence interval using ROC curve in R?
negative_passages.docid: 69637
negative_passages.text: Random Forests and data transformations
negative_passages.docid: 52676
negative_passages.text: Explanatory power of a Decision Tree