- Type: Tree EnsemblesRandom Forest ModelThe output of the learner.
- Type: TableInput dataData to be predicted.
Node / Predictor
Random Forest Predictor
Node details
Input ports
Output ports
- Type: TablePrediction outputInput data along with prediction columns.
Extension
The Random Forest Predictor node is part of this extension:
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Related workflows & nodes
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Predictor workflow that is exposed as RESTful web service.
A data table and one variable is expected and needs to be provided by the rest client. Ty…knime > Examples > 06_Control_Structures > 07_Workflow_Orchestration > 02_Call_Workflow_and_REST > _called_workflows > 01_predictor_flow - Go to item
Prediction Service
This workflow is a workflow service which applies a model to input data. There are three …knime > Examples > 06_Control_Structures > 07_Workflow_Orchestration > 04_Call_Workflow_Service > 01_Prediction_Service - Go to item
Group 3 Write Table Database
Solution to a task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest mo…knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group3_Model_Deployment > Group3_Write_Table_Database - Go to item
Group 3 Deployment Model
Solution to a task for Group 3 in KNIME Data Science Learnathon - Build a workflow that a…knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group3_Model_Deployment > Group3_Call_Workflow > Group3_Deployment_Model - Go to item
04.2. deployed workflow
knime > Education > Courses > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Solutions > 04.2. deployed workflow - Go to item
Adv_Tree_Chap5_Random_Forest
keith_mccormick > Adv Trees with KNIME > Adv_Tree_Chap5_Random_Forest
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