Linear regression with autofeat engineered features-I
Linear Regression with 'autofeat' Engineered Features This workflow demonstrates use of the component autofeat feature generator in feature generation. […]
Regression_Plotter
<p>Only keep the columns that are not selected</p>
Auto feature generation workflow
Auto feature engineering workflow There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for […]
CN-112 Differentiation Vertical Node v05
[Community Nodes] CN-112 Differentiation Vertical Node The Differentiation Vertical node is designed to take a list of Features, along with an optional […]
Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization
use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters […]
MS-196 Learning Curves v05
[Market Simulation] MS-196 Learning Curves Simulates how Customers overcome their mistrust of Products and move up the 'Learning Curve' as they become […]