diff --git a/benchmark/Datasets.py b/benchmark/Datasets.py index 74ed0f4..eb11eb5 100644 --- a/benchmark/Datasets.py +++ b/benchmark/Datasets.py @@ -229,7 +229,7 @@ class Datasets: ------- tuple (X, y) of numpy.ndarray """ - discretiz = FImdlp(algorithm=0) + discretiz = FImdlp() return discretiz.fit_transform(X, y) def __iter__(self) -> Diterator: diff --git a/benchmark/Experiments.py b/benchmark/Experiments.py index 62bb79b..fd2b739 100644 --- a/benchmark/Experiments.py +++ b/benchmark/Experiments.py @@ -240,7 +240,7 @@ class Experiment: cv=kfold, fit_params=fit_params, return_estimator=True, - scoring=self.score_name, + scoring=self.score_name.replace("-", "_"), ) if np.isnan(res["test_score"]).any(): if not self.ignore_nan: diff --git a/benchmark/Models.py b/benchmark/Models.py index cfea692..4e8c1fa 100644 --- a/benchmark/Models.py +++ b/benchmark/Models.py @@ -8,7 +8,7 @@ from sklearn.ensemble import ( ) from sklearn.svm import SVC from stree import Stree -from bayesclass.clfs import TAN, KDB, AODE, KDBNew, TANNew +from bayesclass.clfs import TAN, KDB, AODE, KDBNew, TANNew, AODENew from wodt import Wodt from odte import Odte from xgboost import XGBClassifier diff --git a/benchmark/tests/.env b/benchmark/tests/.env index c4c0029..10a5766 100644 --- a/benchmark/tests/.env +++ b/benchmark/tests/.env @@ -9,4 +9,5 @@ seeds=[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] discretize=0 nodes=Nodes leaves=Leaves -depth=Depth \ No newline at end of file +depth=Depth +fit_features=0 \ No newline at end of file diff --git a/benchmark/tests/.env.arff b/benchmark/tests/.env.arff index 0d1f264..33df877 100644 --- a/benchmark/tests/.env.arff +++ b/benchmark/tests/.env.arff @@ -8,4 +8,5 @@ seeds=[271, 314, 171] discretize=1 nodes=Nodes leaves=Leaves -depth=Depth \ No newline at end of file +depth=Depth +fit_features=1 \ No newline at end of file diff --git a/benchmark/tests/.env.dist b/benchmark/tests/.env.dist index c4c0029..10a5766 100644 --- a/benchmark/tests/.env.dist +++ b/benchmark/tests/.env.dist @@ -9,4 +9,5 @@ seeds=[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] discretize=0 nodes=Nodes leaves=Leaves -depth=Depth \ No newline at end of file +depth=Depth +fit_features=0 \ No newline at end of file diff --git a/benchmark/tests/.env.surcov b/benchmark/tests/.env.surcov index 45a2ebe..8bb1959 100644 --- a/benchmark/tests/.env.surcov +++ b/benchmark/tests/.env.surcov @@ -9,4 +9,5 @@ seeds=[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] discretize=0 nodes=Nodes leaves=Leaves -depth=Depth \ No newline at end of file +depth=Depth +fit_features=0 \ No newline at end of file diff --git a/benchmark/tests/Experiment_test.py b/benchmark/tests/Experiment_test.py index 4ac6b24..6dc0a59 100644 --- a/benchmark/tests/Experiment_test.py +++ b/benchmark/tests/Experiment_test.py @@ -143,9 +143,9 @@ class ExperimentTest(TestBase): expected = { "state_names": { "sepallength": [0, 1, 2], - "sepalwidth": [0, 1, 3, 4], + "sepalwidth": [0, 1, 2, 3, 4, 5], "petallength": [0, 1, 2, 3], - "petalwidth": [0, 1, 2, 3], + "petalwidth": [0, 1, 2], }, "features": [ "sepallength", @@ -161,6 +161,9 @@ class ExperimentTest(TestBase): self.assertEqual(computed["state_names"][key], value) for feature in expected["features"]: self.assertIn(feature, computed["features"]) + # Ask for states of a dataset that does not exist + computed = exp._build_fit_params("not_existing") + self.assertTrue("states" not in computed) @patch("sys.stdout", new_callable=StringIO) def test_experiment_with_nan_not_ignored(self, mock_output): diff --git a/benchmark/tests/Util_test.py b/benchmark/tests/Util_test.py index a0d5fbc..4c99020 100644 --- a/benchmark/tests/Util_test.py +++ b/benchmark/tests/Util_test.py @@ -183,6 +183,7 @@ class UtilTest(TestBase): "nodes": "Nodes", "leaves": "Leaves", "depth": "Depth", + "fit_features": "0", } computed = EnvData().load() self.assertDictEqual(computed, expected) diff --git a/benchmark/tests/results/results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json b/benchmark/tests/results/results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json index 34063a0..fbe2a93 100644 --- a/benchmark/tests/results/results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json +++ b/benchmark/tests/results/results_accuracy_ODTE_Galgo_2022-04-20_10:52:20_0.json @@ -1,59 +1 @@ -{ - "score_name": "accuracy", - "title": "Gridsearched hyperparams v022.1b random_init", - "model": "ODTE", - "version": "0.3.2", - "language_version": "3.11x", - "language": "Python", - "stratified": false, - "folds": 5, - "date": "2022-04-20", - "time": "10:52:20", - "duration": 22591.471411943436, - "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], - "platform": "Galgo", - "results": [ - { - "dataset": "balance-scale", - "samples": 625, - "features": 4, - "classes": 3, - "hyperparameters": { - "base_estimator__C": 57, - "base_estimator__gamma": 0.1, - "base_estimator__kernel": "rbf", - "base_estimator__multiclass_strategy": "ovr", - "n_estimators": 100, - "n_jobs": -1 - }, - "nodes": 7.361199999999999, - "leaves": 4.180599999999999, - "depth": 3.536, - "score": 0.96352, - "score_std": 0.024949741481626608, - "time": 0.31663217544555666, - "time_std": 0.19918813895255585 - }, - { - "dataset": "balloons", - "samples": 16, - "features": 4, - "classes": 2, - "hyperparameters": { - "base_estimator__C": 5, - "base_estimator__gamma": 0.14, - "base_estimator__kernel": "rbf", - "base_estimator__multiclass_strategy": "ovr", - "n_estimators": 100, - "n_jobs": -1 - }, - "nodes": 2.9951999999999996, - "leaves": 1.9975999999999998, - "depth": 1.9975999999999998, - "score": 0.785, - "score_std": 0.2461311755051675, - "time": 0.11560620784759522, - "time_std": 0.012784241828599895 - } - ] -} +{"score_name": "accuracy", "title": "Gridsearched hyperparams v022.1b random_init", "model": "ODTE", "version": "0.3.2", "language_version": "3.11x", "language": "Python", "stratified": false, "folds": 5, "date": "2022-04-20", "time": "10:52:20", "duration": 22591.471411943436, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "Galgo", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"base_estimator__C": 57, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 7.361199999999999, "leaves": 4.180599999999999, "depth": 3.536, "score": 0.96352, "score_std": 0.024949741481626608, "time": 0.31663217544555666, "time_std": 0.19918813895255585}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"base_estimator__C": 5, "base_estimator__gamma": 0.14, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 2.9951999999999996, "leaves": 1.9975999999999998, "depth": 1.9975999999999998, "score": 0.785, "score_std": 0.2461311755051675, "time": 0.11560620784759522, "time_std": 0.012784241828599895}], "discretized": false} \ No newline at end of file diff --git a/benchmark/tests/results/results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json b/benchmark/tests/results/results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json index e4e5490..39afe9c 100644 --- a/benchmark/tests/results/results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json +++ b/benchmark/tests/results/results_accuracy_RandomForest_iMac27_2022-01-14_12:39:30_0.json @@ -1,45 +1 @@ -{ - "score_name": "accuracy", - "title": "Test default paramters with RandomForest", - "model": "RandomForest", - "version": "-", - "language_version": "3.11x", - "language": "Python", - "stratified": false, - "folds": 5, - "date": "2022-01-14", - "time": "12:39:30", - "duration": 272.7363500595093, - "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], - "platform": "iMac27", - "results": [ - { - "dataset": "balance-scale", - "samples": 625, - "features": 4, - "classes": 3, - "hyperparameters": {}, - "nodes": 196.91440000000003, - "leaves": 98.42, - "depth": 10.681399999999998, - "score": 0.83616, - "score_std": 0.02649630917694009, - "time": 0.08222018241882324, - "time_std": 0.0013026326815120633 - }, - { - "dataset": "balloons", - "samples": 16, - "features": 4, - "classes": 2, - "hyperparameters": {}, - "nodes": 9.110800000000001, - "leaves": 4.58, - "depth": 3.0982, - "score": 0.625, - "score_std": 0.24958298553119898, - "time": 0.07016648769378662, - "time_std": 0.002460508923990468 - } - ] -} +{"score_name": "accuracy", "title": "Test default paramters with RandomForest", "model": "RandomForest", "version": "-", "language_version": "3.11x", "language": "Python", "stratified": false, "folds": 5, "date": "2022-01-14", "time": "12:39:30", "duration": 272.7363500595093, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "iMac27", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {}, "nodes": 196.91440000000003, "leaves": 98.42, "depth": 10.681399999999998, "score": 0.83616, "score_std": 0.02649630917694009, "time": 0.08222018241882324, "time_std": 0.0013026326815120633}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {}, "nodes": 9.110800000000001, "leaves": 4.58, "depth": 3.0982, "score": 0.625, "score_std": 0.24958298553119898, "time": 0.07016648769378662, "time_std": 0.002460508923990468}], "discretized": false} \ No newline at end of file diff --git a/benchmark/tests/results/results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json b/benchmark/tests/results/results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json index 4988acf..4a08ea8 100644 --- a/benchmark/tests/results/results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json +++ b/benchmark/tests/results/results_accuracy_STree_iMac27_2021-09-30_11:42:07_0.json @@ -1,57 +1 @@ -{ - "score_name": "accuracy", - "model": "STree", - "stratified": false, - "folds": 5, - "language_version": "3.11x", - "language": "Python", - "date": "2021-09-30", - "time": "11:42:07", - "duration": 624.2505249977112, - "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], - "platform": "iMac27", - "results": [ - { - "dataset": "balance-scale", - "samples": 625, - "features": 4, - "classes": 3, - "hyperparameters": { - "C": 10000, - "gamma": 0.1, - "kernel": "rbf", - "max_iter": 10000, - "multiclass_strategy": "ovr" - }, - "nodes": 7.0, - "leaves": 4.0, - "depth": 3.0, - "score": 0.97056, - "score_std": 0.015046806970251203, - "time": 0.01404867172241211, - "time_std": 0.002026269126958884 - }, - { - "dataset": "balloons", - "samples": 16, - "features": 4, - "classes": 2, - "hyperparameters": { - "C": 7, - "gamma": 0.1, - "kernel": "rbf", - "max_iter": 10000, - "multiclass_strategy": "ovr" - }, - "nodes": 3.0, - "leaves": 2.0, - "depth": 2.0, - "score": 0.86, - "score_std": 0.28501461950807594, - "time": 0.0008541679382324218, - "time_std": 3.629469326417878e-5 - } - ], - "title": "With gridsearched hyperparameters", - "version": "1.2.3" -} +{"score_name": "accuracy", "model": "STree", "stratified": false, "folds": 5, "language_version": "3.11x", "language": "Python", "date": "2021-09-30", "time": "11:42:07", "duration": 624.2505249977112, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "iMac27", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"C": 10000, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000, "multiclass_strategy": "ovr"}, "nodes": 7.0, "leaves": 4.0, "depth": 3.0, "score": 0.97056, "score_std": 0.015046806970251203, "time": 0.01404867172241211, "time_std": 0.002026269126958884}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000, "multiclass_strategy": "ovr"}, "nodes": 3.0, "leaves": 2.0, "depth": 2.0, "score": 0.86, "score_std": 0.28501461950807594, "time": 0.0008541679382324218, "time_std": 3.629469326417878e-05}], "title": "With gridsearched hyperparameters", "version": "1.2.3", "discretized": false} \ No newline at end of file diff --git a/benchmark/tests/results/results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json b/benchmark/tests/results/results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json index ee64f53..bbd1d30 100644 --- a/benchmark/tests/results/results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json +++ b/benchmark/tests/results/results_accuracy_STree_iMac27_2021-10-27_09:40:40_0.json @@ -1,51 +1 @@ -{ - "score_name": "accuracy", - "model": "STree", - "language": "Python", - "language_version": "3.11x", - "stratified": false, - "folds": 5, - "date": "2021-10-27", - "time": "09:40:40", - "duration": 3395.009148836136, - "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], - "platform": "iMac27", - "results": [ - { - "dataset": "balance-scale", - "samples": 625, - "features": 4, - "classes": 3, - "hyperparameters": { - "splitter": "best", - "max_features": "auto" - }, - "nodes": 11.08, - "leaves": 5.9, - "depth": 5.9, - "score": 0.98, - "score_std": 0.001, - "time": 0.28520655155181884, - "time_std": 0.06031593282605064 - }, - { - "dataset": "balloons", - "samples": 16, - "features": 4, - "classes": 2, - "hyperparameters": { - "splitter": "best", - "max_features": "auto" - }, - "nodes": 4.12, - "leaves": 2.56, - "depth": 2.56, - "score": 0.695, - "score_std": 0.2756860130252853, - "time": 0.021201000213623047, - "time_std": 0.003526023309468471 - } - ], - "title": "default A", - "version": "1.2.3" -} +{"score_name": "accuracy", "model": "STree", "language": "Python", "language_version": "3.11x", "stratified": false, "folds": 5, "date": "2021-10-27", "time": "09:40:40", "duration": 3395.009148836136, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "iMac27", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"splitter": "best", "max_features": "auto"}, "nodes": 11.08, "leaves": 5.9, "depth": 5.9, "score": 0.98, "score_std": 0.001, "time": 0.28520655155181884, "time_std": 0.06031593282605064}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"splitter": "best", "max_features": "auto"}, "nodes": 4.12, "leaves": 2.56, "depth": 2.56, "score": 0.695, "score_std": 0.2756860130252853, "time": 0.021201000213623047, "time_std": 0.003526023309468471}], "title": "default A", "version": "1.2.3", "discretized": false} \ No newline at end of file diff --git a/benchmark/tests/results/results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json b/benchmark/tests/results/results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json index 3703250..faea536 100644 --- a/benchmark/tests/results/results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json +++ b/benchmark/tests/results/results_accuracy_STree_macbook-pro_2021-11-01_19:17:07_0.json @@ -1,51 +1 @@ -{ - "score_name": "accuracy", - "model": "STree", - "language_version": "3.11x", - "language": "Python", - "stratified": false, - "folds": 5, - "date": "2021-11-01", - "time": "19:17:07", - "duration": 4115.042420864105, - "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], - "platform": "macbook-pro", - "results": [ - { - "dataset": "balance-scale", - "samples": 625, - "features": 4, - "classes": 3, - "hyperparameters": { - "max_features": "auto", - "splitter": "mutual" - }, - "nodes": 18.78, - "leaves": 9.88, - "depth": 5.9, - "score": 0.97, - "score_std": 0.002, - "time": 0.23330417156219482, - "time_std": 0.048087665954193885 - }, - { - "dataset": "balloons", - "samples": 16, - "features": 4, - "classes": 2, - "hyperparameters": { - "max_features": "auto", - "splitter": "mutual" - }, - "nodes": 4.72, - "leaves": 2.86, - "depth": 2.78, - "score": 0.5566666666666668, - "score_std": 0.2941277122460771, - "time": 0.021352062225341795, - "time_std": 0.005808742398555902 - } - ], - "title": "default B", - "version": "1.2.3" -} +{"score_name": "accuracy", "model": "STree", "language_version": "3.11x", "language": "Python", "stratified": false, "folds": 5, "date": "2021-11-01", "time": "19:17:07", "duration": 4115.042420864105, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "macbook-pro", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"max_features": "auto", "splitter": "mutual"}, "nodes": 18.78, "leaves": 9.88, "depth": 5.9, "score": 0.97, "score_std": 0.002, "time": 0.23330417156219482, "time_std": 0.048087665954193885}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"max_features": "auto", "splitter": "mutual"}, "nodes": 4.72, "leaves": 2.86, "depth": 2.78, "score": 0.5566666666666668, "score_std": 0.2941277122460771, "time": 0.021352062225341795, "time_std": 0.005808742398555902}], "title": "default B", "version": "1.2.3", "discretized": false} \ No newline at end of file diff --git a/benchmark/tests/test_files/be_list_report.test b/benchmark/tests/test_files/be_list_report.test index ba72218..c86213b 100644 --- a/benchmark/tests/test_files/be_list_report.test +++ b/benchmark/tests/test_files/be_list_report.test @@ -6,7 +6,7 @@ ************************************************************************************************************************* * STree ver. 1.2.3 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2021-11-01 19:17:07 * * default B * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 4115.04 seconds, 1.14 hours, on macbook-pro * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/be_main_best.test b/benchmark/tests/test_files/be_main_best.test index a694c57..4bdcb37 100644 --- a/benchmark/tests/test_files/be_main_best.test +++ b/benchmark/tests/test_files/be_main_best.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.4 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2022-05-09 00:15:25 * * test * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 0.80 seconds, 0.00 hours, on iMac27 * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/be_main_complete.test b/benchmark/tests/test_files/be_main_complete.test index edbfead..d53a956 100644 --- a/benchmark/tests/test_files/be_main_complete.test +++ b/benchmark/tests/test_files/be_main_complete.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.4 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2022-05-08 20:14:43 * * test * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 0.48 seconds, 0.00 hours, on iMac27 * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/be_main_dataset.test b/benchmark/tests/test_files/be_main_dataset.test index 4c56e14..2d10fb3 100644 --- a/benchmark/tests/test_files/be_main_dataset.test +++ b/benchmark/tests/test_files/be_main_dataset.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.4 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2022-05-08 19:38:28 * * Test with only one dataset * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 0.06 seconds, 0.00 hours, on iMac27 * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/be_main_grid.test b/benchmark/tests/test_files/be_main_grid.test index adcf79a..11a63f6 100644 --- a/benchmark/tests/test_files/be_main_grid.test +++ b/benchmark/tests/test_files/be_main_grid.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.4 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2022-05-09 00:21:06 * * test * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 0.89 seconds, 0.00 hours, on iMac27 * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/report.test b/benchmark/tests/test_files/report.test index c4b783f..207bf35 100644 --- a/benchmark/tests/test_files/report.test +++ b/benchmark/tests/test_files/report.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.3 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2021-09-30 11:42:07 * * With gridsearched hyperparameters * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 624.25 seconds, 0.17 hours, on iMac27 * * Score is accuracy * ************************************************************************************************************************* diff --git a/benchmark/tests/test_files/report_compared.test b/benchmark/tests/test_files/report_compared.test index 6229759..cc9d717 100644 --- a/benchmark/tests/test_files/report_compared.test +++ b/benchmark/tests/test_files/report_compared.test @@ -1,7 +1,7 @@ ************************************************************************************************************************* * STree ver. 1.2.3 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2021-09-30 11:42:07 * * With gridsearched hyperparameters * -* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False * +* Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1] Stratified: False Discretized: False * * Execution took 624.25 seconds, 0.17 hours, on iMac27 * * Score is accuracy * *************************************************************************************************************************