Question

Which of the following statements is not true about decision trees? Group of answer choices At each node, the algorithm computes the reduction in error from every possible split on every feature Initially, all training data are grouped into the same partition The algorithm stops when the reduction in error falls below a threshold At each node, the algorithm selects the split giving the greatest reduction in error

Name: which of the following statements is not true about decision trees group of answer choices at each node the algorithm computes the reduction in error from every possible split on every featu 74583
Uploaded: 2023-05-31T08:58:58-08:00
Duration: 2 min 55 s
Channel: Madhur L
Description: which of the following statements is not true about decision trees group of answer choices at each node the algorithm computes the reduction in error from every possible split on every featu 74583

          Which of the following statements is not true about decision trees?
Group of answer choices
At each node, the algorithm computes the reduction in error from every possible split on every feature
Initially, all training data are grouped into the same partition
The algorithm stops when the reduction in error falls below a threshold
At each node, the algorithm selects the split giving the greatest reduction in error

Added by Diana B.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Madhur L

05/31/2023

Step 1

- Decision trees split data at each node based on feature values to reduce error or impurity. - Initially, all training data start in one group (the root node). - At each node, the algorithm evaluates all possible splits on all features to find the best Show more…

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Which of the following statements is not true about decision trees? Group of answer choices At each node, the algorithm computes the reduction in error from every possible split on every feature Initially, all training data are grouped into the same partition The algorithm stops when the reduction in error falls below a threshold At each node, the algorithm selects the split giving the greatest reduction in error