model_trainingModels

Iris Classifier

  1. Algorithm F1
  2. linear 0.935
  3. linear_svm 0.935
  4. passive_aggressive 0.877
  5. stochastic_gradient_descent 0.875
  6. svm 0.875
  7. bagging 0.875
  8. gradient_boosting_trees 0.875
  9. random_forest 0.875
  10. nu_svm 0.816
  11. ada_boost 0.816
  12. extra_trees 0.816
  13. xgboost 0.816
  14. ridge 0.805
  15. perceptron 0.643

Diabetes Progression

  1. Algorithm R2
  2. extra_trees 0.586
  3. linear 0.586
  4. automatic_relevance_determination 0.584
  5. huber 0.581
  6. bayesian_ridge 0.579
  7. theil_sen 0.571
  8. passive_aggressive 0.546
  9. bagging 0.525
  10. ridge 0.485
  11. stochastic_gradient_descent 0.481
  12. ada_boost 0.465
  13. xgboost 0.459
  14. random_forest 0.451
  15. orthoganl_matching_pursuit 0.406
  16. lasso_least_angle 0.355
  17. lasso 0.340
  18. ransac 0.320
  19. gradient_boosting_trees 0.270
  20. least_angle 0.251
  21. svm 0.012
  22. elastic_net -0.028
  23. linear_svm -0.435
  24. nu_svm -0.916

Handwritten Digit Image Classifier

  1. Algorithm F1
  2. svm 1.000
  3. nu_svm 0.984
  4. linear_svm 0.978
  5. stochastic_gradient_descent 0.972
  6. xgboost 0.968
  7. extra_trees 0.967
  8. linear 0.961
  9. passive_aggressive 0.957
  10. random_forest 0.956
  11. perceptron 0.956
  12. ridge 0.939
  13. bagging 0.929
  14. gradient_boosting_trees 0.915
  15. ada_boost 0.224

Exercise vs Physiology

  1. Algorithm R2
  2. xgboost -2.702
  3. ada_boost -3.196
  4. gradient_boosting_trees -4.297
  5. nu_svm -4.825
  6. svm -5.322
  7. bayesian_ridge -5.469
  8. random_forest -5.503
  9. extra_trees -5.599
  10. lasso_least_angle -5.675
  11. bagging -5.807
  12. automatic_relevance_determination -6.034
  13. huber -7.356
  14. orthoganl_matching_pursuit -7.500
  15. lasso -9.217
  16. elastic_net -9.241
  17. ridge -9.345
  18. least_angle -9.350
  19. linear -9.350
  20. ransac -19.341
  21. theil_sen -25.665
  22. passive_aggressive -193.763
  23. linear_svm -247.921
  24. stochastic_gradient_descent -28796055651065830000000000.000