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
Adult data
File Reader
ReLU, 6 Units
Keras Dense Layer
Dictionary table
Excel Reader
apply trainednetwork
Keras Network Executor
Sigmoid; 1 Unit
Keras Dense Layer
81 Inputs
Keras Input Layer
Relu; 6 Units
Keras Dense Layer
Preprocessing
Adam 80
Keras Network Learner
evaluate network performance
Scorer
extract prediction
Rule Engine

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: 2026-11-10
Created with KNIME version: v5.4.2
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!