RO7 ML Runtime Developer Playground

Train a New Model

Local Dataset Shortcuts

Training Data Mode

Single Dataset with Internal Split

Separate Train / Validation / Test Datasets

Dataset URL (CSV only)

Model Name (Optional)

Train Percentage (%)

Validation Percentage (%)

Test Percentage (%)

Problem Type

Target Column

Model Selection

⏱️ Early Stopping Config (Gradient Boosting Only)

Enable Early Stopping

Early Stopping Rounds

Early Stopping Tolerance

📊 Training Result & Diagnostics

🛡️ Overfitting Risk Diagnostics Low

Train Score -

Val Score -

Test Score -

⚠️ Training Warnings

No warnings generated during training.

📊 Split Performance Metrics Summary

Metric	Train Set	Validation Set	Test Set

Result Payload:

Trained Models Registry

Model Name	ID	Problem Type	Best Model	Version	Created At	Actions
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Downloaded Datasets Registry

Dataset Name	Dataset ID	Rows	Columns	Created At	Actions
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Training Jobs History

Job ID	Status	Progress	Created At	Details
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Run Inference on Trained Model

Step 1: Select Model

Step 3: Edit Input JSON Payload (Single Record)

Prediction Result

Evaluate Model on Test Dataset

Evaluation Dataset Shortcuts

Step 1: Select Model

Step 2: Provide Evaluation Dataset URL

Step 3: Specify Target Column

Evaluation Result

Model ID
Dataset ID
Evaluation ID
Evaluation Timestamp

Metrics

⚙️ Local Developer Diagnostics