Questions tagged [decision-tree]

For question involving decision trees in any form of AI.

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How to gauge importance in random forest when there is overlap between variables

I have a dataset where I'm trying to gauge the importance of certain drivers (X and Y) over various time periods. I'd like to look at the importance of certain ranges of times, which will overlap with ...
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1answer
32 views

What are possible functions assigned on decision nodes for decision tree prediction?

In Decision Tree or Random Forest, each tree has a collection of decision nodes (in which each node has a threshold value) and a class labels (or regression values). I know that threshold values are ...
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21 views

At which point we have to stop post pruning in decision tree?

Post pruning is start from downward discarding subtree and include leaf node performance. so what is the best point or condition of the tree where we have to stop further pruning.
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102 views

Is decision tree learning a deterministic algorithm?

Is decision tree learning a deterministic algorithm? Given a fixed dataset, does it always produce a tree of a same topology? What about random forest?
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40 views

What kind of decision rule algorithm is usable in this situation?

I am trying to write an AI to a game, where there is no real adversary. This means, that only the AI player has choices in which move to perform, his opponent may or may not react to the move the AI ...
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79 views

Why KNN, Decision Trees, etc have a high variance?

Some examples of low-variance Machine Learning algorithms include Linear Regression, Linear Discriminant Analysis and Logistic Regression. Examples of high-variance Machine Learning algorithms ...
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41 views

How many trees should be generated in a random forest?

What are ways of determining the number of trees to be generated in a random forest algorithm?
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105 views

Decision making systems applications

Machine learning and data science are mainly made for processing large amounts of data nowadays, for example - a multitude of pictures. But do these fields have some applications in the decision ...
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66 views

How can I minimize the number of answers that are relevant to a machine learning model?

Problem: We have a fairly big database that is built up by our own users. The way this data is entered is by asking the users 30ish questions that all have around 12 answers (x, a, A, B, C, ..., H). ...
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66 views

In the implementation of AI programming, does DFS always stop when it has found the leftmost solution?

I'm a fresh learner of AI. I was told that depth-first search is not an optimal searching algorithm since "it finds the 'leftmost' solution, regardless of depth or cost". Therefore, does it mean that ...
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1answer
103 views

Why was Go a harder game for an AI to master than Chess?

AI became superior to the best human players in chess around 20 years ago (when the 2nd Deep Blue match concluded). However, it took until 2016 for an AI to beat the Go world chess champion, and this ...
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57 views

Decision tree: more than 2 classes, how to represent elements that are in a class vs ones that aren't?

I'm building a decision tree and would like to separate (for example) the elements that are in class 0 from those in classes 1 and 2, case in point: ...
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118 views

Scikit learn: Decision tree data meaning

This is more of a technical question rather than a practical one. I've exported a decision tree made with python/scikit learn and would like to know what the "value" field of each leaf corresponds to....
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153 views

Why does nobody use decision trees for visual question answering?

I'm starting a project that will involve computer vision, visual question answering and explainability, and am currently choosing what type of algorithm to use for my classifier - a neural net, or a ...