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Train a Model
Select a dataset and algorithm, configure hyperparameters, and train
Configuration
Experiment Name
Dataset
iris (150 samples, 4 features)
wine (178 samples, 13 features)
breast_cancer (569 samples, 30 features)
digits (1797 samples, 64 features)
Algorithm
Decision Tree
Random Forest
SVM
K-Nearest Neighbours
Logistic Regression
Hyperparameters
Test Ratio
Random Seed
Train Model
Training Results
Accuracy
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Precision
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Recall
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F1 Score
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Feature Importance
Confusion Matrix
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Training model...