name	classification-helper
description	Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.

Classification Helper

Auto Model Selection: Compare multiple classifiers
Hyperparameter Tuning: Grid/random search
Evaluation Metrics: Accuracy, precision, recall, F1, ROC-AUC
Cross-Validation: K-fold validation
Confusion Matrix: Detailed error analysis
Feature Importance: Top predictive features
Model Export: Save trained models

Train and evaluate classification models with automatic model selection.

python classification_helper.py --data train.csv --target class --test test.csv --output model.pkl

name	classification-helper
description	Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.

Train and evaluate classification models with automatic model selection.

python classification_helper.py --data train.csv --target class --test test.csv --output model.pkl

classification-helper