A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
I have a data set with 14 features and few of them are as below, where sex and marital status are …
r decision-tree rpartI have two problems with understanding the result of decision tree from scikit-learn. For example, this is one of my …
python numpy scipy scikit-learn decision-treeI'm trying to understand how feature importance is calculated for decision trees in sci-kit learn. This question has been asked …
python scikit-learn decision-tree feature-selectionI have been exploring scikit-learn, making decision trees with both entropy and gini splitting criteria, and exploring the differences. My …
python machine-learning scikit-learn decision-treeI have a decision tree that i need to turn to a code in C# The simple way of doing …
c# .net classification decision-treeI can't for the life of me figure out how to compute a confusion matrix on rpart. Here is what …
r machine-learning classification decision-tree confusion-matrixI have constructed a decision tree using rpart for a dataset. I have then divided the data into 2 parts - …
r machine-learning decision-tree rpartHi, I am taking a course on Coursera and came into this question. My answer is 1-(4048+3456)/8124=0.076. However, the answer …
decision-treeI am getting the following error c50 code called exit with value 1 I am doing this on the titanic data …
r machine-learning decision-tree kaggleI am attempting to train models with GradientBoostingClassifier using categorical variables. The following is a primitive code sample, just for …
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