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Models
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Metrics
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Learning Curve
ROC Curve
Precision–Recall
Metrics Evaluation
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| Metric | Value | Score |
|---|---|---|
| Accuracy | — | |
| Precision | — | |
| Recall | — | |
| F1-Score | — | |
| AUC-ROC | — |
Confusion Matrix —
Train a model to see the confusion matrix
Accuracy —
Precision —
Recall —
F1 —
Model Comparison
2 models
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Accuracy
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Precision
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Recall
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F1-Score
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AUC-ROC
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Dataset
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Completed
Overview
Training Result
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Overview
Training timing and environment details
Training Configuration
Algorithm, engine and hyperparameters
Performance Metrics
Scores measured on the test set
Evaluation Metrics
Per-class breakdown on the test set
Confusion Matrix
Row = Actual · Column = Predicted
Export Data & Reports
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Training Result JSON
Download full training result including metrics, config and label map as JSON.
Export Dataset CSV
Download the original dataset file used to train this model.
Export Model (.pkl)
Download the trained model as a ready-to-use pickle (.pkl) file.
Export Report PDF
Download a professional PDF report with metrics, charts and confusion matrix.
Figure Adjustment
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