Dataset

Upload CSV or Excel with a numeric target

Try with a sample dataset

Pick one to explore instantly — no upload needed

Model Settings

ElasticNet

Combined L1 + L2 regularization

Fit Intercept

Include bias term in the model

Alpha (α)1.00

10⁻³ = weak1 = default10³ = strong

L1 Ratio

Balanced0.50

0 = Ridge (L2)0.5 = balanced1 = Lasso (L1)

Controls the mix: low values favour Ridge-style shrinkage, high values favour Lasso-style feature selection.

Train / Test Split

Holdout proportion for evaluation

Test Size20%

Train: 80%Test: 20%

Preprocessing

Feature transformations

Enable preprocessing

Advanced settings

Projection

2D visualization method

PCA for quick linear projection. UMAP for complex manifolds.

Parameter Guide

Click to expand

Performance Metrics

R²

—

Awaiting training

RMSE

—

Awaiting training

MAE

—

Awaiting training

Adj. R²

—

Awaiting training

BIC

—

Awaiting training

AIC

—

Awaiting training

Train R²

—

Awaiting training

Sparsity

—

Awaiting training

Actual vs Predicted

Train the model to see actual vs predicted scatter

Advanced Analysis

Deep Dive Analysis

Run training to populate analysis

Run training to populate this tab

Job History

Recent jobs — auto-pruned to keep 10 per type

No jobs recorded yet. Run a clustering, classification, or pipeline job to see results here.

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Dataset

Upload CSV or Excel with a numeric target

Try with a sample dataset

Pick one to explore instantly — no upload needed

Model Settings

ElasticNet

Combined L1 + L2 regularization

Fit Intercept

Include bias term in the model

Alpha (α)1.00

10⁻³ = weak1 = default10³ = strong

L1 Ratio

Balanced0.50

0 = Ridge (L2)0.5 = balanced1 = Lasso (L1)

Controls the mix: low values favour Ridge-style shrinkage, high values favour Lasso-style feature selection.

Train / Test Split

Holdout proportion for evaluation

Test Size20%

Train: 80%Test: 20%

Preprocessing

Feature transformations

Enable preprocessing

Advanced settings

Projection

2D visualization method

PCA for quick linear projection. UMAP for complex manifolds.

Parameter Guide

Click to expand

Performance Metrics

R²

—

Awaiting training

RMSE

—

Awaiting training

MAE

—

Awaiting training

Adj. R²

—

Awaiting training

BIC

—

Awaiting training

AIC

—

Awaiting training

Train R²

—

Awaiting training

Sparsity

—

Awaiting training

Actual vs Predicted

Train the model to see actual vs predicted scatter

Advanced Analysis

Deep Dive Analysis

Run training to populate analysis

Run training to populate this tab

Job History

Recent jobs — auto-pruned to keep 10 per type

No jobs recorded yet. Run a clustering, classification, or pipeline job to see results here.

ElasticNet Regression — Interactive Analysis