Decision Forests
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Explore more → **Decision Forests**
What is Decision Forests?
Decision Forests, often implemented as Random Forests, are an ensemble learning method used for classification, regression and other tasks. They operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees. Random decision forests correct for decision trees' habit of overfitting to their training set.
What other technologies are related to Decision Forests?
Decision Forests Competitor Technologies
Naive Bayes
Naive Bayes is a classification algorithm that can be used as an alternative to Decision Forests.
k-NN
k-Nearest Neighbors is a classification algorithm that provides an alternative to Decision Forests.
SVM
Support Vector Machines are a classification algorithm that serves as an alternative to Decision Forests.
k-Nearest Neighbors
k-Nearest Neighbors is a classification algorithm that provides an alternative to Decision Forests.
Neural Network
Neural Networks are a classification and regression algorithm that can be used as an alternative to Decision Forests.
GBM
Gradient Boosting Machines are ensemble methods that are alternatives to Decision Forests.
RNN
Recurrent Neural Networks are primarily used for sequential data but can also be used as alternatives to Decision Forests in some classification or regression tasks.
CNN
Convolutional Neural Networks are primarily used for image processing, but can be used as alternatives to Decision Forests for tasks involving image-based data.
Number of organizations that mention technology
281
Decision Forests
452
Naive Bayes
312
k-NN
1,368
SVM
156
k-Nearest Neighbors
527
Neural Network
267
GBM
1,146
RNN
1,627
CNN
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Decision Forests Complementary Technologies
ggplot
ggplot is a plotting library for R, used for visualizing data and results from Decision Forests.
Weka
Weka is a suite of machine learning software that includes implementations of Decision Forests and other algorithms.
NumPy
NumPy is a library for numerical computation in Python, often used for data manipulation in machine learning pipelines involving Decision Forests.
Number of organizations that mention technology
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Which job functions commonly mention Decision Forests?
Data Scientist
0.2% of all Data Scientist jobs mention Decision Forests
View 412
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention Decision Forests
View 70
jobs on Sumble
AI Engineer
20 AI Engineer jobs mention Decision Forests
View 20
jobs on Sumble
Data Engineer
21 Data Engineer jobs mention Decision Forests
View 21
jobs on Sumble
Data Analyst
32 Data Analyst jobs mention Decision Forests
View 32
jobs on Sumble
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