Platform
Machine Learning Model Analysis
A dashboard for detailed performance statistics on your trained models. Review classification metrics like F1-score and precision, regression metrics like R² and MSE, and test models with new data.
Model Testing
Prediction Interface
Test trained models with new data using intuitive inputs. View class probabilities for classification models or predicted values for regression.
Make a Prediction
Prediction Result
Performance Indicators
Model Metrics
Key metrics used to evaluate machine learning model performance.
95.8
Performance Score
Model accuracy displayed as a percentage.
Seconds
Processing Time
Predictions complete quickly, even for complex models.
Automatic
Data Visualization
Performance visualizations generate automatically.
Multiple
Metric Types
Tailored metrics for classification and regression models.
Performance Evaluation
Model Analysis Tools
Tools that help you understand and test your trained models.
View detailed metrics for your trained models including accuracy scores and performance statistics.
Test models with new data using simple input forms and get instant predictions.
Make a Prediction
Prediction Result
Access detailed information about model types, metrics, and usage guides.
Train multiple machine learning algorithms automatically to find the best model for your data.
Model Library
Trained Machine Learning Models
Browse all trained models with their performance scores, algorithm types, and readiness indicators to understand which are production-ready.
Model Analysis Capabilities
Key Features
Evaluate and understand your machine learning models with these workflows.
Model Metrics Visualization
View interactive dashboards showing accuracy scores, error measurements, and other statistics for trained models.
Model Testing Tools
Enter feature values and get instant predictions to validate model performance.
Training Progress Tracking
Monitor training progress with visual indicators for each stage in the pipeline.
Performance Statistics
Model Metrics Dashboard
See F1, precision, recall and regression metrics like R² or MSE in a single dashboard, with tabs to switch between metric views.
Analysis Features
The model analysis dashboard provides these capabilities.
Model Types
Multiple
Support for classification and regression models with appropriate metrics.
Visualization
Automatic
Charts and graphs generated for every model.
Detail Level
Comprehensive
View overall scores or drill down into specific metrics and parameters.
Evaluation Measures
Performance Metrics
Metrics that show how well your models are performing.
Classification Metrics
Multiple
F1-score, precision, recall, and confusion matrices.
Regression Metrics
Detailed
R², MSE, MAE, and more for regression assessment.
Feature Analysis
Visual
Charts highlighting which features influence predictions.