Icon

bigmartSales_​randomForest model-III

Predict BigMart Sales using randomForest--III
Problem description and Data download:https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/ Node 1Node 10Node 12Node 15Node 16sqrt(Item_Outlet_Sales)Node 19Node 21Takes timeNode 31Node 32Node 33Node 34Node 39MRP File Reader Random Forest Learner(Regression) Partitioning Random Forest Predictor(Regression) Numeric Scorer Math Formula Math Formula Statistics Missing values imputationwith random Forest Counting Loop Start Loop End Row Filter Single samplet-test Column Filter Discretize multiplenumeric columns Problem description and Data download:https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/ Node 1Node 10Node 12Node 15Node 16sqrt(Item_Outlet_Sales)Node 19Node 21Takes timeNode 31Node 32Node 33Node 34Node 39MRPFile Reader Random Forest Learner(Regression) Partitioning Random Forest Predictor(Regression) Numeric Scorer Math Formula Math Formula Statistics Missing values imputationwith random Forest Counting Loop Start Loop End Row Filter Single samplet-test Column Filter Discretize multiplenumeric columns

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: ashok
Created at: 2019-10-26
On NodePit since: 2021-09-04
Last update: 2024-04-24
Created with KNIME version: v4.0.2
Tags: Missing value imputation using randomForestrandom forest

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!