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Test Test 2 months 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 2 months 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: 0.8239, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 0.311, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, unweighted_recall: 0.7331,
Test Test 2 months 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: 0.9918, f_measure: 0.8662, kappa: 0.8586, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1212, weighted_recall: 0.872, number_of_instances: 500, precision: 0.879, predictive_accuracy: 0.872, prior_entropy: 3.6489, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.6518, unweighted_recall: 0.7813,
Test Test 2 months 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: 0.8103, f_measure: 0.8272, kappa: 0.4445, kb_relative_information_score: 0.2492, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8372, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8372, prior_entropy: 0.7318, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.8575, unweighted_recall: 0.6999,
Continuous Integration 2 months 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 2 months 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 2 months ago
ran flow sklearn.model_selection._searc ... es.DecisionTreeClassifier))(4) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(4) 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,
Test Test 2 months 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: 0.9961, kappa: 0.8594, kb_relative_information_score: 0.8124, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.141, weighted_recall: 0.9426, number_of_instances: 296, predictive_accuracy: 0.9426, prior_entropy: 1.309, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.4223,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(prep ... ses.DecisionTreeClassifier)(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9898, kappa: 0.9748, kb_relative_information_score: 0.9638, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, weighted_recall: 0.99, number_of_instances: 898, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 1.1915, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238,
Test Test 2 months 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: 0.8417, f_measure: 0.8436, kappa: 0.6837, kb_relative_information_score: 0.6824, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8436, number_of_instances: 14980, precision: 0.8435, predictive_accuracy: 0.8436, prior_entropy: 0.9924, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7952, unweighted_recall: 0.8417,
Test Test 2 months 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: 0.932, f_measure: 0.8855, kappa: 0.771, kb_relative_information_score: 0.6428, mean_absolute_error: 0.1907, 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: 0.3832, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6172, unweighted_recall: 0.8863,
Test Test 2 months 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: 0.9339, f_measure: 0.8547, kappa: 0.7095, kb_relative_information_score: 0.5967, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8546, number_of_instances: 227, precision: 0.8563, predictive_accuracy: 0.8546, prior_entropy: 1.0024, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6339, unweighted_recall: 0.8556,
Test Test 2 months 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: 0.9339, f_measure: 0.8547, kappa: 0.7095, kb_relative_information_score: 0.5967, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8546, number_of_instances: 227, precision: 0.8563, predictive_accuracy: 0.8546, prior_entropy: 1.0024, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6339, unweighted_recall: 0.8556,
Test Test 2 months 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 2 months 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: 0.8161, f_measure: 0.7713, kappa: 0.5004, kb_relative_information_score: 0.3045, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7747, number_of_instances: 253, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9463, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8495, unweighted_recall: 0.7438,
Test Test 2 months 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 2 months 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: 0.8249, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 0.3118, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, unweighted_recall: 0.7312,
Test Test 2 months 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: 0.9929, f_measure: 0.8704, kappa: 0.8674, kb_relative_information_score: 0.6574, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1212, weighted_recall: 0.88, number_of_instances: 500, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 3.6489, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.6514, unweighted_recall: 0.7711,
Test Test 2 months 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: 0.8098, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 0.2461, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8621, unweighted_recall: 0.6918,
Test Test 2 months 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: 0.9965, kappa: 0.886, kb_relative_information_score: 0.8367, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.141, weighted_recall: 0.9527, number_of_instances: 296, predictive_accuracy: 0.9527, prior_entropy: 1.309, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4033,
Continuous Integration 2 months ago
ran flow sklearn.model_selection._searc ... es.DecisionTreeClassifier))(2) 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 2 months 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,
Test Test 2 months 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: 0.8447, f_measure: 0.8468, kappa: 0.6903, kb_relative_information_score: 0.6892, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8469, number_of_instances: 14980, precision: 0.8468, predictive_accuracy: 0.8469, prior_entropy: 0.9924, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7866, unweighted_recall: 0.8447,
Test Test 2 months 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: 0.9379, f_measure: 0.8722, kappa: 0.7451, kb_relative_information_score: 0.6308, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8762, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6128, unweighted_recall: 0.874,
Test Test 2 months 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: 0.9273, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.6007, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8732, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6304, unweighted_recall: 0.8729,
Test Test 2 months 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: 0.9273, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.6007, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8732, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6304, unweighted_recall: 0.8729,
Continuous Integration 2 months ago
ran flow TESTafbc2e9bbcsklearn.model_se ... =sklearn.svm._classes.SVC))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
Test Test 2 months 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 2 months ago
ran flow TEST5cefa5289dsklearn.linear_m ... odel._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 2 months ago
ran flow TEST6ee25c830csklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 2 months ago
ran flow TEST3f44804d4asklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 2 months ago
ran flow TESTbec32a0b43sklearn.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 2 months ago
ran flow TEST6423ee9b75sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,
Continuous Integration 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7421, kappa: 0.441, kb_relative_information_score: 0.2982, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7431, number_of_instances: 253, precision: 0.7414, predictive_accuracy: 0.7431, prior_entropy: 0.9463, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8588, unweighted_recall: 0.7189,
Test Test 2 months 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: 0.8236, f_measure: 0.7623, kappa: 0.4852, kb_relative_information_score: 0.3163, mean_absolute_error: 0.3174, 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: 0.6917, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8404, unweighted_recall: 0.7415,
Test Test 2 months 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 2 months 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: 0.8319, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 0.3153, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7682, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9331, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, unweighted_recall: 0.7311,
Test Test 2 months 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: 0.9938, f_measure: 0.858, kappa: 0.8517, kb_relative_information_score: 0.6649, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1212, weighted_recall: 0.866, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.866, prior_entropy: 3.6489, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.6439, unweighted_recall: 0.7647,
Test Test 2 months 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: 0.7976, f_measure: 0.8231, kappa: 0.4315, kb_relative_information_score: 0.2427, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8661, unweighted_recall: 0.694,
Test Test 2 months 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: 0.9977, f_measure: 0.9564, kappa: 0.9024, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.141, weighted_recall: 0.9595, number_of_instances: 296, precision: 0.9602, predictive_accuracy: 0.9595, prior_entropy: 1.309, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3923,
Test Test 2 months 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: 0.8425, f_measure: 0.8445, kappa: 0.6856, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8446, number_of_instances: 14980, precision: 0.8445, predictive_accuracy: 0.8446, prior_entropy: 0.9924, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7926, unweighted_recall: 0.8425,
Test Test 2 months 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: 0.9303, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.6156, mean_absolute_error: 0.2053, 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: 0.4124, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6281, unweighted_recall: 0.8687,
Test Test 2 months 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: 0.8767, kappa: 0.7534, kb_relative_information_score: 0.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6289, unweighted_recall: 0.8775,
Test Test 2 months 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: 0.8767, kappa: 0.7534, kb_relative_information_score: 0.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6289, unweighted_recall: 0.8775,
Test Test 2 months 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 2 months 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: 0.6702, f_measure: 0.6987, kappa: 0.3386, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6979, number_of_instances: 768, precision: 0.6995, predictive_accuracy: 0.6979, prior_entropy: 0.9331, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531, unweighted_recall: 0.6702,
Continuous Integration 2 months 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 2 months 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 2 months ago
ran flow TESTdfe0b513besklearn.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 2 months ago
ran flow TESTd9d9a2b414sklearn.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 2 months ago
ran flow TEST7371138cb0sklearn.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 2 months ago
ran flow TEST8358f4e6fdsklearn.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 2 months 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 2 months ago
ran flow TESTe6f7017591sklearn.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 2 months ago
ran flow TESTc27affc91esklearn.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 2 months ago
ran flow TESTfbffa3d78fsklearn.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,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... st.RandomForestClassifier))(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9033, kappa: 0.806, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9032, number_of_instances: 1054, precision: 0.9039, predictive_accuracy: 0.9032, prior_entropy: 0.9969, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6513, unweighted_recall: 0.904,
Continuous Integration 2 months ago
ran flow TEST918d5e77ecsklearn.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,
Test Test 2 months 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: 0.8174, f_measure: 0.7665, kappa: 0.4949, kb_relative_information_score: 0.3101, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7663, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8459, unweighted_recall: 0.7469,
Continuous Integration 2 months ago
ran flow TEST67ce2d386csklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Continuous Integration 2 months ago
ran flow TEST3949460e54sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Test Test 2 months 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,
Continuous Integration 2 months ago
ran flow TEST300c0af3acsklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 2 months ago
ran flow TESTf621bbf24dsklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 2 months ago
ran flow TEST6f8c3db903sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,
Test Test 2 months 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: 0.817, f_measure: 0.7512, kappa: 0.4459, kb_relative_information_score: 0.2997, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7552, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7552, prior_entropy: 0.9331, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8494, unweighted_recall: 0.7168,
Test Test 2 months 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: 0.9929, f_measure: 0.8885, kappa: 0.8829, kb_relative_information_score: 0.6663, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1212, weighted_recall: 0.894, number_of_instances: 500, precision: 0.8962, predictive_accuracy: 0.894, prior_entropy: 3.6489, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6417, unweighted_recall: 0.8017,
Test Test 2 months 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: 0.8021, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 0.2385, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.8703, unweighted_recall: 0.6952,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(3) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(3) 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 2 months ago
ran flow TESTTEST827c4bd049sklearn.naive_bayes.GaussianNB(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859, unweighted_recall: 0.7232,
Continuous Integration 2 months ago
ran flow TESTTEST6d79eca7d3sklearn.naive_bayes.GaussianNB(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859, unweighted_recall: 0.7232,
Continuous Integration 2 months ago
ran flow TESTTESTd2554c7d94sklearn.tree ... sses.DecisionTreeClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7448, kappa: 0.4317, kb_relative_information_score: 0.3586, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7487, number_of_instances: 768, precision: 0.7434, predictive_accuracy: 0.7487, prior_entropy: 0.9331, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8828, unweighted_recall: 0.71,
Continuous Integration 2 months ago
ran flow TEST628eae3d8fsklearn.linear_m ... odel._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 2 months 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: 0.9978, kappa: 0.8488, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0362, 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: 0.257, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.4101,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(prep ... ses.DecisionTreeClassifier)(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9922, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.1915, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
Continuous Integration 2 months ago
ran flow TESTfea0007503sklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 2 months ago
ran flow TEST5ccc74fc5dsklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Continuous Integration 2 months ago
ran flow TEST44c2ee618esklearn.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 2 months ago
ran flow TEST85c4524789sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,
Test Test 2 months 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: 0.8429, f_measure: 0.8446, kappa: 0.6859, kb_relative_information_score: 0.6846, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8447, number_of_instances: 14980, precision: 0.8446, predictive_accuracy: 0.8447, prior_entropy: 0.9924, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7924, unweighted_recall: 0.8429,
Test Test 2 months 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: 0.9332, f_measure: 0.8635, kappa: 0.7269, kb_relative_information_score: 0.5996, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8644, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6349, unweighted_recall: 0.8641,
Test Test 2 months 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: 0.9285, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.6193, mean_absolute_error: 0.2035, 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: 0.4088, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6267, unweighted_recall: 0.8687,
Test Test 2 months 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: 0.9285, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.6193, mean_absolute_error: 0.2035, 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: 0.4088, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6267, unweighted_recall: 0.8687,
Test Test 2 months 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 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2799, mean_absolute_error: 0.3307, 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: 0.7206, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8823, unweighted_recall: 0.6957,
Test Test 2 months 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: 0.8253, f_measure: 0.7676, kappa: 0.4928, kb_relative_information_score: 0.3169, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.767, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8353, unweighted_recall: 0.7407,
Test Test 2 months 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 2 months 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: 0.821, f_measure: 0.7571, kappa: 0.4582, kb_relative_information_score: 0.305, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8443, unweighted_recall: 0.7218,
Test Test 2 months 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: 0.8427, kappa: 0.8364, kb_relative_information_score: 0.6675, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1212, weighted_recall: 0.852, number_of_instances: 500, precision: 0.8463, predictive_accuracy: 0.852, prior_entropy: 3.6489, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.158, root_relative_squared_error: 0.642, unweighted_recall: 0.7343,
Test Test 2 months 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: 0.8043, f_measure: 0.8118, kappa: 0.3969, kb_relative_information_score: 0.2451, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8218, number_of_instances: 522, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 0.7318, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.866, unweighted_recall: 0.6799,
Test Test 2 months 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: 0.996, kappa: 0.8488, kb_relative_information_score: 0.8231, mean_absolute_error: 0.0386, 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: 0.2737, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.421,
Test Test 2 months 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: 0.8429, f_measure: 0.8448, kappa: 0.6862, kb_relative_information_score: 0.685, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8449, number_of_instances: 14980, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9924, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7919, unweighted_recall: 0.8429,
Test Test 2 months 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: 0.9234, f_measure: 0.8502, kappa: 0.7008, kb_relative_information_score: 0.6045, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8502, number_of_instances: 227, precision: 0.8524, predictive_accuracy: 0.8502, prior_entropy: 1.0024, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6445, unweighted_recall: 0.8514,
Test Test 2 months 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: 0.934, f_measure: 0.8719, kappa: 0.7456, kb_relative_information_score: 0.6124, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8815, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6247, unweighted_recall: 0.875,
Test Test 2 months 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: 0.934, f_measure: 0.8719, kappa: 0.7456, kb_relative_information_score: 0.6124, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8815, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6247, unweighted_recall: 0.875,
Test Test 2 months 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 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(2) 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,