Icon

Basic_​Example_​Adult_​Dataset

Simple Example for Binary Classification with Keras

This workflow trains a fully connected, feedforward network using the adult dataset.


Read and preprocess adult data Define network strucuture and train the network Apply trained network and extract predictions extract predictionAdam 80apply trainednetworkReLU, 6 Units81 InputsSigmoid; 1 UnitRelu; 6 UnitsDictionary tableAdult dataevaluate network performance Rule Engine Keras NetworkLearner Keras NetworkExecutor Keras Dense Layer Keras Input Layer Keras Dense Layer Keras Dense Layer Excel Reader (XLS) File Reader Preprocessing Scorer Read and preprocess adult data Define network strucuture and train the network Apply trained network and extract predictions extract predictionAdam 80apply trainednetworkReLU, 6 Units81 InputsSigmoid; 1 UnitRelu; 6 UnitsDictionary tableAdult dataevaluate network performance Rule Engine Keras NetworkLearner Keras NetworkExecutor Keras Dense Layer Keras Input Layer Keras Dense Layer Keras Dense Layer Excel Reader (XLS) File Reader Preprocessing Scorer

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: Emilio Silvestri
Created at: 2020-02-12
On NodePit since: 2020-12-17
Last update: 2024-04-18
Created with KNIME version: v4.2.5
Tags: neural networksdeep learningCodeless Deep Learning with KNIME

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

Try NodePit Runner!