Eğitim Seti Boyutu: (236, 9)
Test Seti Boyutu: (102, 9)

Linear Regression - Cross-Validation R²: 0.8237 (+/- 0.0303)

Ridge Regression - Cross-Validation R²: 0.8237 (+/- 0.0303)

Lasso Regression - Cross-Validation R²: 0.8237 (+/- 0.0303)

Elastic Net - Cross-Validation R²: 0.8023 (+/- 0.0337)

Bayesian Ridge - Cross-Validation R²: 0.6178 (+/- 0.1003)

ARD Regression - Cross-Validation R²: 0.8109 (+/- 0.0364)

Stochastic Gradient Descent - Cross-Validation R²: -16747615789034279199064457216.0000 (+/- 15406528372484856481497219072.0000)

Theil-Sen Regressor - Cross-Validation R²: 0.5143 (+/- 0.0611)

Huber Regressor - Cross-Validation R²: -4.8779 (+/- 6.5635)

Passive Aggressive Regressor - Cross-Validation R²: -20.8927 (+/- 10.6177)

RANSAC Regressor - Cross-Validation R²: 0.7955 (+/- 0.0335)

Orthogonal Matching Pursuit - Cross-Validation R²: 0.4550 (+/- 0.0607)

Support Vector Regressor (RBF Kernel) - Cross-Validation R²: -0.0289 (+/- 0.0287)

Nu Support Vector Regressor - Cross-Validation R²: -0.0264 (+/- 0.0197)

Random Forest Regressor - Cross-Validation R²: 0.7785 (+/- 0.0262)

Gradient Boosting Regressor - Cross-Validation R²: 0.7892 (+/- 0.0311)

AdaBoost Regressor - Cross-Validation R²: 0.7580 (+/- 0.0395)

Extra Trees Regressor - Cross-Validation R²: 0.7763 (+/- 0.0257)

K-Nearest Neighbors Regressor - Cross-Validation R²: 0.5667 (+/- 0.1127)

Decision Tree Regressor - Cross-Validation R²: 0.5963 (+/- 0.0533)

Kernel Ridge Regressor - Cross-Validation R²: 0.5721 (+/- 0.0432)

Gaussian Process Regressor - Cross-Validation R²: -30.9341 (+/- 3.0360)

Multi-layer Perceptron Regressor - Cross-Validation R²: -9.4722 (+/- 2.8524)

En İyi Model: Ridge Regression with Cross-Validation R²: 0.8237

Ridge Regression Test Seti R²: 0.7968

En iyi model başarıyla kaydedildi: best_model.pkl