amir9979 / HungaBunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
MIT License
1 stars 1 forks source link

continuum #12

Closed amir9979 closed 3 years ago

github-actions[bot] commented 3 years ago

{"winner": "BernoulliNB", "score": "0.524.", "params": {"alpha": 1e-05, "binarize": 0.0, "class_prior": null, "fit_prior": true}}

github-actions[bot] commented 3 years ago

{"winner": "GaussianNB", "score": "0.439.", "params": {"priors": null, "var_smoothing": 1e-09}}

github-actions[bot] commented 3 years ago

{"winner": "QuadraticDiscriminantAnalysis", "score": "0.568.", "params": {"priors": null, "reg_param": 0.0, "store_covariance": false, "tol": 0.0001}}

github-actions[bot] commented 3 years ago

{"winner": "DummyClassifier", "score": "0.370.", "params": {"constant": null, "random_state": null, "strategy": "warn"}}

github-actions[bot] commented 3 years ago

{"winner": "LinearDiscriminantAnalysis", "score": "0.441.", "params": {"n_components": null, "priors": null, "shrinkage": null, "solver": "svd", "store_covariance": false, "tol": 0.01}}

github-actions[bot] commented 3 years ago

{"winner": "ComplementNB", "score": "-inf.", "params": {"alpha": 1.0, "class_prior": null, "fit_prior": true, "norm": false}}

github-actions[bot] commented 3 years ago

{"winner": "CategoricalNB", "score": "-inf.", "params": {"alpha": 1.0, "class_prior": null, "fit_prior": true}}

github-actions[bot] commented 3 years ago

{"winner": "MultinomialNB", "score": "-inf.", "params": {"alpha": 1.0, "class_prior": null, "fit_prior": true}}

github-actions[bot] commented 3 years ago

{"winner": "NoSampleWeightWrapper", "score": "-inf.", "params": {"est": null}}

github-actions[bot] commented 3 years ago

{"winner": "ExtraTreeClassifier", "score": "0.513.", "params": {"ccp_alpha": 0.0, "class_weight": null, "criterion": "gini", "max_depth": null, "max_features": null, "max_leaf_nodes": null, "min_impurity_decrease": 0.0, "min_impurity_split": null, "min_samples_leaf": 2, "min_samples_split": 2, "min_weight_fraction_leaf": 0.0, "random_state": null, "splitter": "random"}}

github-actions[bot] commented 3 years ago

{"winner": "DecisionTreeClassifier", "score": "0.484.", "params": {"max_depth": 10, "max_features": "log2", "min_samples_leaf": 2, "min_samples_split": 2}}

github-actions[bot] commented 3 years ago

{"winner": "CalibratedClassifierCV", "score": "0.424.", "params": {"base_estimator": null, "cv": null, "method": "sigmoid"}}

github-actions[bot] commented 3 years ago

{"winner": "GaussianProcessClassifier", "score": "0.440.", "params": {"copy_X_train": true, "kernel": null, "max_iter_predict": 100, "multi_class": "one_vs_rest", "n_jobs": null, "n_restarts_optimizer": 0, "optimizer": "fmin_l_bfgs_b", "random_state": null, "warm_start": false}}

github-actions[bot] commented 3 years ago

{"winner": "DecisionTreeClassifier", "score": "0.483.", "params": {"ccp_alpha": 0.0, "class_weight": null, "criterion": "gini", "max_depth": 5, "max_features": 10, "max_leaf_nodes": null, "min_impurity_decrease": 0.0, "min_impurity_split": null, "min_samples_leaf": 2, "min_samples_split": 0.1, "min_weight_fraction_leaf": 0.0, "presort": "deprecated", "random_state": null, "splitter": "best"}}

github-actions[bot] commented 3 years ago

{"winner": "MLPClassifier", "score": "0.459.", "params": {"activation": "relu", "batch_size": "auto", "early_stopping": true, "hidden_layer_sizes": [32, 64], "learning_rate": "adaptive", "max_iter": 500}}

github-actions[bot] commented 3 years ago

{"winner": "SGDClassifier", "score": "0.555.", "params": {"alpha": 0.1, "loss": "log", "penalty": "l2"}}

github-actions[bot] commented 3 years ago

{"winner": "LogisticRegression", "score": "0.513.", "params": {"C": 0.1, "max_iter": 300, "penalty": "l1", "solver": "liblinear", "tol": 0.0001, "warm_start": true}}

github-actions[bot] commented 3 years ago

{"winner": "_BinaryGaussianProcessClassifierLaplace", "score": "0.601.", "params": {"copy_X_train": true, "kernel": null, "max_iter_predict": 100, "n_restarts_optimizer": 0, "optimizer": "fmin_l_bfgs_b", "random_state": null, "warm_start": false}}