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Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(1) 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)(1) 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 TEST9746aa6bacsklearn.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 TEST4d8594293fsklearn.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 TEST1088f23694sklearn.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 TESTbb013abb2bsklearn.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.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(1) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(1) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... st.RandomForestClassifier))(1) 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 sklearn.pipeline.Pipeline(Impu ... arn.naive_bayes.GaussianNB)(1) 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,
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: 0.8167, f_measure: 0.7531, kappa: 0.463, kb_relative_information_score: 0.31, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.752, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8452, unweighted_recall: 0.7283,
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 sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6924, kappa: 0.3225, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6927, number_of_instances: 768, precision: 0.6922, predictive_accuracy: 0.6927, prior_entropy: 0.9331, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163, unweighted_recall: 0.661,
Continuous Integration 2 months ago
ran flow TEST0ce0cf5c62sklearn.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 TEST16d7de76e6sklearn.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 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: 0.8277, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 0.3158, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, unweighted_recall: 0.7279,
Continuous Integration 2 months ago
ran flow TEST9796952352sklearn.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 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: 0.863, kappa: 0.8585, kb_relative_information_score: 0.657, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1212, weighted_recall: 0.872, number_of_instances: 500, precision: 0.8785, predictive_accuracy: 0.872, prior_entropy: 3.6489, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.6507, unweighted_recall: 0.7661,
Continuous Integration 2 months ago
ran flow TEST2cec92fbd1sklearn.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 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: 0.8084, f_measure: 0.8288, kappa: 0.4489, kb_relative_information_score: 0.2481, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8633, unweighted_recall: 0.7011,
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(scal ... es.DecisionTreeClassifier))(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6937, kappa: 0.3284, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6927, number_of_instances: 768, precision: 0.6949, predictive_accuracy: 0.6927, prior_entropy: 0.9331, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.163, unweighted_recall: 0.6653,
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,
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: 0.7953, 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 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: 0.7953, 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 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 TEST8c6f45eb80sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
Continuous Integration 2 months ago
ran flow TEST8c6f45eb80sklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
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: 0.9975, f_measure: 0.9401, kappa: 0.8685, kb_relative_information_score: 0.8372, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.141, weighted_recall: 0.9459, number_of_instances: 296, precision: 0.9461, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4014,
Continuous Integration 2 months ago
ran flow TESTTEST3cf6e33ddesklearn.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 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 TESTTEST5e44511f6csklearn.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 TESTd3b1cf1335sklearn.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,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(enc= ... st.RandomForestClassifier))(3) 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 TESTa738b3423csklearn.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.pipeline.Pipeline(Impu ... arn.naive_bayes.GaussianNB)(4) 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 TEST81a5e62fe3sklearn.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 TEST23c13534e7sklearn.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 TEST19d6d7c905sklearn.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 TEST2bd5c79af6sklearn.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 sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7428, kappa: 0.4436, kb_relative_information_score: 0.3013, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7431, number_of_instances: 253, precision: 0.7425, predictive_accuracy: 0.7431, prior_entropy: 0.9463, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8608, unweighted_recall: 0.7213,
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 TEST8f4ae17425sklearn.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: 0.818, f_measure: 0.7676, kappa: 0.4928, kb_relative_information_score: 0.3182, mean_absolute_error: 0.3178, 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: 0.6925, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8442, 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: 0.8256, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 0.3083, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8395, unweighted_recall: 0.734,
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: 0.8679, kappa: 0.8608, kb_relative_information_score: 0.6504, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1212, weighted_recall: 0.874, number_of_instances: 500, precision: 0.8756, predictive_accuracy: 0.874, prior_entropy: 3.6489, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.6581, unweighted_recall: 0.7718,
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: 0.8097, f_measure: 0.8172, kappa: 0.4093, kb_relative_information_score: 0.2552, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8295, number_of_instances: 522, precision: 0.8142, predictive_accuracy: 0.8295, prior_entropy: 0.7318, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.8568, unweighted_recall: 0.6812,
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: 0.9974, kappa: 0.8504, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0366, 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: 0.2598, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4043,
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: 0.8422, f_measure: 0.8441, kappa: 0.6848, kb_relative_information_score: 0.6835, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8441, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.8441, prior_entropy: 0.9924, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7938, unweighted_recall: 0.8422,
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: 0.9282, f_measure: 0.8811, kappa: 0.7618, kb_relative_information_score: 0.6205, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8811, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6244, unweighted_recall: 0.881,
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: 0.9484, f_measure: 0.8987, kappa: 0.7975, kb_relative_information_score: 0.6365, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8987, number_of_instances: 227, precision: 0.9004, predictive_accuracy: 0.8987, prior_entropy: 1.0024, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5922, unweighted_recall: 0.8997,
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: 0.9484, f_measure: 0.8987, kappa: 0.7975, kb_relative_information_score: 0.6365, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8987, number_of_instances: 227, precision: 0.9004, predictive_accuracy: 0.8987, prior_entropy: 1.0024, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5922, unweighted_recall: 0.8997,
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: 0.8221, f_measure: 0.769, kappa: 0.4976, kb_relative_information_score: 0.3183, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7681, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8406, unweighted_recall: 0.7453,
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: 0.822, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7643, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7643, prior_entropy: 0.9331, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8421, unweighted_recall: 0.7229,
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: 0.9943, f_measure: 0.8764, kappa: 0.8717, kb_relative_information_score: 0.6682, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1212, weighted_recall: 0.884, number_of_instances: 500, precision: 0.8866, predictive_accuracy: 0.884, prior_entropy: 3.6489, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.6391, unweighted_recall: 0.7852,
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: 0.8003, f_measure: 0.8223, kappa: 0.4315, kb_relative_information_score: 0.2447, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8314, number_of_instances: 522, precision: 0.8188, predictive_accuracy: 0.8314, prior_entropy: 0.7318, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8689, unweighted_recall: 0.6963,
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: 0.9975, f_measure: 0.9352, kappa: 0.8581, kb_relative_information_score: 0.8304, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.141, weighted_recall: 0.9426, number_of_instances: 296, precision: 0.9443, predictive_accuracy: 0.9426, prior_entropy: 1.309, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.4069,
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: 0.8435, f_measure: 0.8453, kappa: 0.6873, kb_relative_information_score: 0.6861, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8454, number_of_instances: 14980, precision: 0.8453, predictive_accuracy: 0.8454, prior_entropy: 0.9924, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7906, unweighted_recall: 0.8435,
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: 0.9312, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 0.6422, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6186, unweighted_recall: 0.8817,
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: 0.9267, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.6087, mean_absolute_error: 0.2079, 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: 0.4177, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6443, 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: 0.9267, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.6087, mean_absolute_error: 0.2079, 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: 0.4177, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6443, unweighted_recall: 0.8729,
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: 0.8114, f_measure: 0.756, kappa: 0.4679, kb_relative_information_score: 0.3053, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7551, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8535, unweighted_recall: 0.729,
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: 0.8273, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 0.3126, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8377, unweighted_recall: 0.7275,
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: 0.9932, f_measure: 0.8718, kappa: 0.8631, kb_relative_information_score: 0.6621, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1212, weighted_recall: 0.876, number_of_instances: 500, precision: 0.8755, predictive_accuracy: 0.876, prior_entropy: 3.6489, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.6467, unweighted_recall: 0.7958,
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: 0.8072, f_measure: 0.8174, kappa: 0.4141, kb_relative_information_score: 0.2437, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8276, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.8276, prior_entropy: 0.7318, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8619, unweighted_recall: 0.6869,
Continuous Integration 2 months ago
ran flow TEST321c63b058sklearn.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 TEST9b77f5c988sklearn.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.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9493, kappa: 0.8862, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.141, weighted_recall: 0.9527, number_of_instances: 296, precision: 0.9525, predictive_accuracy: 0.9527, prior_entropy: 1.309, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.393,
Continuous Integration 2 months ago
ran flow TEST02666bb74csklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
Continuous Integration 2 months ago
ran flow TEST02666bb74csklearn.pipeline ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
Continuous Integration 2 months ago
ran flow TEST2be9709917sklearn.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.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8452, kappa: 0.6871, kb_relative_information_score: 0.6858, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8453, number_of_instances: 14980, precision: 0.8452, predictive_accuracy: 0.8453, prior_entropy: 0.9924, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7909, unweighted_recall: 0.8434,
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: 0.9353, f_measure: 0.8634, kappa: 0.7273, kb_relative_information_score: 0.6072, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8662, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6278, unweighted_recall: 0.8648,
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: 0.9374, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 0.6058, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6159, unweighted_recall: 0.8726,
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: 0.9374, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 0.6058, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6159, unweighted_recall: 0.8726,
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 TEST951192245esklearn.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 sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6874, kappa: 0.3147, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6862, number_of_instances: 768, precision: 0.6887, predictive_accuracy: 0.6862, prior_entropy: 0.9331, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, unweighted_recall: 0.6586,
Continuous Integration 2 months 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: 0.6674, f_measure: 0.697, kappa: 0.334, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6966, number_of_instances: 768, precision: 0.6974, predictive_accuracy: 0.6966, prior_entropy: 0.9331, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556, unweighted_recall: 0.6674,
Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(3) 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 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)(4) 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(Impu ... ses.DecisionTreeClassifier)(3) 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 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 sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(3) 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 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(4) 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 TEST52d4cd660dsklearn.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 TESTac1dee303asklearn.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 TESTa73a6b1fc4sklearn.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 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 TESTb91154610esklearn.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 TEST0b372fce5asklearn.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.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,