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Continuous Integration 23 days ago
ran flow TEST01c74e38e3sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 23 days ago
ran flow TEST2b219c01e3sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow TESTf8677a2fefsklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TESTc7edde461csklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TEST89d98a4c11sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, weighted_recall: 0.651, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, unweighted_recall: 0.5,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7776, kappa: 0.5172, kb_relative_information_score: 0.3121, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7787, number_of_instances: 253, precision: 0.7769, predictive_accuracy: 0.7787, prior_entropy: 0.9463, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8418, unweighted_recall: 0.7562,
Continuous Integration 23 days ago
ran flow TEST0982d85597sklearn.pipeline ... es.DecisionTreeClassifier))(1) on task Learning Curve on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 0.3291, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7422, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9331, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8588, unweighted_recall: 0.7033,
Continuous Integration 23 days ago
ran flow TESTa3657681a1sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.758, kappa: 0.4597, kb_relative_information_score: 0.306, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.844, unweighted_recall: 0.7219,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8644, kappa: 0.8606, kb_relative_information_score: 0.6588, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1212, weighted_recall: 0.874, number_of_instances: 500, precision: 0.8794, predictive_accuracy: 0.874, prior_entropy: 3.6489, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.16, root_relative_squared_error: 0.6502, unweighted_recall: 0.7666,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.822, kappa: 0.4224, kb_relative_information_score: 0.2431, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8203, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8627, unweighted_recall: 0.6848,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7407, kappa: 0.4357, kb_relative_information_score: 0.3037, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7431, number_of_instances: 253, precision: 0.7396, predictive_accuracy: 0.7431, prior_entropy: 0.9463, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8479, unweighted_recall: 0.7143,
Continuous Integration 23 days ago
ran flow TEST5f0e56eec2sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8899, kappa: 0.7796, kb_relative_information_score: 0.6512, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8903, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6015, unweighted_recall: 0.8902,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 0.6151, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6356, unweighted_recall: 0.863,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8899, kappa: 0.7796, kb_relative_information_score: 0.6512, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8903, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6015, unweighted_recall: 0.8902,
Test Test 23 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8455, kappa: 0.6876, kb_relative_information_score: 0.6863, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8455, number_of_instances: 14980, precision: 0.8455, predictive_accuracy: 0.8455, prior_entropy: 0.9924, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7902, unweighted_recall: 0.8436,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.957, kappa: 0.9034, kb_relative_information_score: 0.8444, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.141, weighted_recall: 0.9595, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.309, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.389,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 0.3066, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8472, unweighted_recall: 0.7298,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 0.3017, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7656, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9331, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, unweighted_recall: 0.7265,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8651, kappa: 0.8607, kb_relative_information_score: 0.6517, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1212, weighted_recall: 0.874, number_of_instances: 500, precision: 0.8768, predictive_accuracy: 0.874, prior_entropy: 3.6489, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.6557, unweighted_recall: 0.7672,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8855, kappa: 0.771, kb_relative_information_score: 0.6568, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8868, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5849, unweighted_recall: 0.8863,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8722, kappa: 0.7449, kb_relative_information_score: 0.5907, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.875, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6457, unweighted_recall: 0.8736,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, kappa: 0.8684, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.141, weighted_recall: 0.9459, number_of_instances: 296, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.398,
Test Test 23 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8411, kappa: 0.6788, kb_relative_information_score: 0.6775, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8412, number_of_instances: 14980, precision: 0.8411, predictive_accuracy: 0.8412, prior_entropy: 0.9924, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8012, unweighted_recall: 0.8392,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8855, kappa: 0.771, kb_relative_information_score: 0.6568, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8868, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5849, unweighted_recall: 0.8863,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8598, kappa: 0.8563, kb_relative_information_score: 0.6531, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1212, weighted_recall: 0.87, number_of_instances: 500, precision: 0.8744, predictive_accuracy: 0.87, prior_entropy: 3.6489, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.6546, unweighted_recall: 0.7589,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7801, kappa: 0.5099, kb_relative_information_score: 0.3163, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7839, number_of_instances: 768, precision: 0.7797, predictive_accuracy: 0.7839, prior_entropy: 0.9331, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, unweighted_recall: 0.7474,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 0.2457, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8655, unweighted_recall: 0.7022,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7617, kappa: 0.4828, kb_relative_information_score: 0.3147, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7609, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8414, unweighted_recall: 0.7391,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9445, kappa: 0.8762, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.141, weighted_recall: 0.9493, number_of_instances: 296, precision: 0.9505, predictive_accuracy: 0.9493, prior_entropy: 1.309, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.3958,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 0.2515, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8268, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8597, unweighted_recall: 0.7046,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8591, kappa: 0.7184, kb_relative_information_score: 0.6065, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4978, weighted_recall: 0.859, number_of_instances: 227, precision: 0.8612, predictive_accuracy: 0.859, prior_entropy: 1.0024, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6409, unweighted_recall: 0.8602,
Test Test 23 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8461, kappa: 0.6889, kb_relative_information_score: 0.6877, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8462, number_of_instances: 14980, precision: 0.8461, predictive_accuracy: 0.8462, prior_entropy: 0.9924, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7885, unweighted_recall: 0.8442,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.6341, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5943, unweighted_recall: 0.8687,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8591, kappa: 0.7184, kb_relative_information_score: 0.6065, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4978, weighted_recall: 0.859, number_of_instances: 227, precision: 0.8612, predictive_accuracy: 0.859, prior_entropy: 1.0024, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6409, unweighted_recall: 0.8602,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7623, kappa: 0.4852, kb_relative_information_score: 0.3094, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7618, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8448, unweighted_recall: 0.7415,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8782, kappa: 0.874, kb_relative_information_score: 0.6725, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1212, weighted_recall: 0.886, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.886, prior_entropy: 3.6489, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.6356, unweighted_recall: 0.7859,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 0.2431, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.864, unweighted_recall: 0.6975,
Test Test 23 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 0.31, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.838, unweighted_recall: 0.7236,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, kappa: 0.8504, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.141, weighted_recall: 0.9392, number_of_instances: 296, predictive_accuracy: 0.9392, prior_entropy: 1.309, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4002,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8809, kappa: 0.7628, kb_relative_information_score: 0.6344, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8866, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.301, root_relative_squared_error: 0.601, unweighted_recall: 0.8831,
Test Test 23 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8444, kappa: 0.6855, kb_relative_information_score: 0.6842, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8445, number_of_instances: 14980, precision: 0.8444, predictive_accuracy: 0.8445, prior_entropy: 0.9924, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7929, unweighted_recall: 0.8426,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8767, kappa: 0.7533, kb_relative_information_score: 0.6009, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8773, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6317, unweighted_recall: 0.8772,
Test Test 23 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8809, kappa: 0.7628, kb_relative_information_score: 0.6344, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8866, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.301, root_relative_squared_error: 0.601, unweighted_recall: 0.8831,
Test Test 23 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6988, kappa: 0.3363, kb_relative_information_score: 0.3111, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6992, number_of_instances: 768, precision: 0.6984, predictive_accuracy: 0.6992, prior_entropy: 0.9331, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1506, unweighted_recall: 0.6677,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(10) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6909, kappa: 0.3215, kb_relative_information_score: 0.2902, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6901, number_of_instances: 768, precision: 0.6917, predictive_accuracy: 0.6901, prior_entropy: 0.9331, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1679, unweighted_recall: 0.6616,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(14) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(9) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.6961, kappa: 0.3329, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6953, number_of_instances: 768, precision: 0.6969, predictive_accuracy: 0.6953, prior_entropy: 0.9331, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581, unweighted_recall: 0.6673,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6845, kappa: 0.3115, kb_relative_information_score: 0.2723, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6823, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.6823, prior_entropy: 0.9331, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.1826, unweighted_recall: 0.6582,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(14) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7022, kappa: 0.3455, kb_relative_information_score: 0.317, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7018, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7018, prior_entropy: 0.9331, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, unweighted_recall: 0.6732,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(15) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6958, kappa: 0.3317, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6953, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6953, prior_entropy: 0.9331, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581, unweighted_recall: 0.6664,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... s.DecisionTreeClassifier))(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6864, kappa: 0.3136, kb_relative_information_score: 0.2783, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6849, number_of_instances: 768, precision: 0.6883, predictive_accuracy: 0.6849, prior_entropy: 0.9331, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1777, unweighted_recall: 0.6584,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(6) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(6) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(15) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(16) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(16) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(12) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6843, kappa: 0.3066, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6836, number_of_instances: 768, precision: 0.685, predictive_accuracy: 0.6836, prior_entropy: 0.9331, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801, unweighted_recall: 0.654,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... =sklearn.svm._classes.SVC)(13) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(13) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(5) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 23 days ago
ran flow TEST1036cf875dsklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow TESTedd1772c51sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow TEST7cbad889bfsklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TEST064b4286basklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TESTbc5469c412sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TESTa164e6331dsklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow sklearn.model_selection._searc ... s.DecisionTreeClassifier))(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 23 days ago
ran flow sklearn.model_selection._searc ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
Continuous Integration 23 days ago
ran flow TESTc87c7e870asklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(5) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 23 days ago
ran flow TEST0085a94c92sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 23 days ago
ran flow TEST956bf64ffasklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow TESTa841c518a3sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(10) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(12) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
Continuous Integration 23 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... es.DecisionTreeClassifier)(11) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 23 days ago
ran flow TEST21d90a6c98sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 23 days ago
ran flow TESTd9ae0e5778sklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 23 days ago
ran flow TEST4fa50d18e7sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,