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Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Test Test 3 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 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7407, kappa: 0.4357, kb_relative_information_score: 0.3134, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7431, number_of_instances: 253, precision: 0.7396, predictive_accuracy: 0.7431, prior_entropy: 0.9463, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8429, unweighted_recall: 0.7143,
Test Test 3 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 3 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: 0.9404, f_measure: 0.8503, kappa: 0.7006, kb_relative_information_score: 0.622, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8502, number_of_instances: 227, precision: 0.8515, predictive_accuracy: 0.8502, prior_entropy: 1.0024, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6248, unweighted_recall: 0.851,
Test Test 3 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: 0.9404, f_measure: 0.8503, kappa: 0.7006, kb_relative_information_score: 0.622, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8502, number_of_instances: 227, precision: 0.8515, predictive_accuracy: 0.8502, prior_entropy: 1.0024, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6248, unweighted_recall: 0.851,
Test Test 3 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: 0.917, f_measure: 0.8635, kappa: 0.7267, kb_relative_information_score: 0.5955, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8638, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6557, unweighted_recall: 0.8637,
Test Test 3 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(3) 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 3 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: 0.9973, kappa: 0.8684, kb_relative_information_score: 0.8349, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.141, weighted_recall: 0.9459, number_of_instances: 296, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3994,
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Test Test 3 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 3 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: 0.953, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 0.6567, mean_absolute_error: 0.1828, 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: 0.3672, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5829, unweighted_recall: 0.8726,
Test Test 3 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: 0.953, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 0.6567, mean_absolute_error: 0.1828, 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: 0.3672, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5829, unweighted_recall: 0.8726,
Test Test 3 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: 0.948, f_measure: 0.8943, kappa: 0.7885, kb_relative_information_score: 0.6448, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8943, number_of_instances: 227, precision: 0.8949, predictive_accuracy: 0.8943, prior_entropy: 1.0024, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5793, unweighted_recall: 0.8948,
Test Test 3 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8458, kappa: 0.6883, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8458, number_of_instances: 14980, precision: 0.8458, predictive_accuracy: 0.8458, prior_entropy: 0.9924, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7895, unweighted_recall: 0.8441,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8165, kappa: 0.4096, kb_relative_information_score: 0.2398, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8276, number_of_instances: 522, precision: 0.8129, predictive_accuracy: 0.8276, prior_entropy: 0.7318, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8661, unweighted_recall: 0.6835,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8781, kappa: 0.8762, kb_relative_information_score: 0.6707, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1212, weighted_recall: 0.888, number_of_instances: 500, precision: 0.8963, predictive_accuracy: 0.888, prior_entropy: 3.6489, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6368, unweighted_recall: 0.7759,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7695, kappa: 0.4863, kb_relative_information_score: 0.3083, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8392, unweighted_recall: 0.736,
Test Test 3 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: 0.9966, f_measure: 0.9518, kappa: 0.8948, kb_relative_information_score: 0.8423, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.141, weighted_recall: 0.9561, number_of_instances: 296, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1.309, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3882,
Test Test 3 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 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7464, kappa: 0.4509, kb_relative_information_score: 0.3084, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4589, weighted_recall: 0.747, number_of_instances: 253, precision: 0.7459, predictive_accuracy: 0.747, prior_entropy: 0.9463, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8422, unweighted_recall: 0.7244,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8312, kappa: 0.4536, kb_relative_information_score: 0.2454, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8429, number_of_instances: 522, precision: 0.8299, predictive_accuracy: 0.8429, prior_entropy: 0.7318, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8626, unweighted_recall: 0.7001,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8838, kappa: 0.8763, kb_relative_information_score: 0.6677, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1212, weighted_recall: 0.888, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.888, prior_entropy: 3.6489, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.6397, unweighted_recall: 0.8074,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7589, kappa: 0.4626, kb_relative_information_score: 0.3144, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.758, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, unweighted_recall: 0.7245,
Test Test 3 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 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7458, kappa: 0.4483, kb_relative_information_score: 0.3039, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4589, weighted_recall: 0.747, number_of_instances: 253, precision: 0.7449, predictive_accuracy: 0.747, prior_entropy: 0.9463, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8521, unweighted_recall: 0.722,
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Continuous Integration 3 months ago
ran flow TESTTESTa7ecf79f92sklearn.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 3 months ago
ran flow TESTTESTcbfe50f7a1sklearn.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 3 months ago
ran flow TESTTESTf5717c1385sklearn.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 3 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(5) 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 3 months ago
ran flow sklearn.model_selection._searc ... es.DecisionTreeClassifier))(6) 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,
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Continuous Integration 3 months ago
ran flow TEST1ecc2edec1sklearn.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 3 months ago
ran flow TESTf8e83a41cdsklearn.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, 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, weighted_recall: 0.6364,
Continuous Integration 3 months ago
ran flow TEST4ec710c2fesklearn.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 3 months ago
ran flow TEST73e842cc5csklearn.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, 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, weighted_recall: 0.6364,
Continuous Integration 3 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, 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, weighted_recall: 0.7318,
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 3 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Test Test 3 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, 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, weighted_recall: 0.724,
Test Test 3 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: 0.9241, f_measure: 0.8679, kappa: 0.7355, kb_relative_information_score: 0.6025, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.868, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6405, unweighted_recall: 0.868, weighted_recall: 0.8678,
Test Test 3 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: 0.9241, f_measure: 0.8679, kappa: 0.7355, kb_relative_information_score: 0.6025, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.868, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6405, unweighted_recall: 0.868, weighted_recall: 0.8678,
Test Test 3 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: 0.9363, f_measure: 0.8987, kappa: 0.7973, kb_relative_information_score: 0.63, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8991, predictive_accuracy: 0.8987, prior_entropy: 1.0024, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6079, unweighted_recall: 0.899, weighted_recall: 0.8987,
Test Test 3 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8439, kappa: 0.6844, kb_relative_information_score: 0.6831, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8439, predictive_accuracy: 0.8439, prior_entropy: 0.9924, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7943, unweighted_recall: 0.8421, weighted_recall: 0.8439,
Test Test 3 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: 0.9971, f_measure: 0.9407, kappa: 0.8699, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4048, weighted_recall: 0.9459,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) 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: 0.2488, mean_absolute_error: 0.2197, 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: 0.6727, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8593, unweighted_recall: 0.6918,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, kappa: 0.8496, kb_relative_information_score: 0.6491, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1212, weighted_recall: 0.864, number_of_instances: 500, predictive_accuracy: 0.864, prior_entropy: 3.6489, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.6598, unweighted_recall: 0.7405,
Test Test 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 0.3157, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8357, unweighted_recall: 0.7321,
Continuous Integration 3 months ago
ran flow TEST1de4e56c87sklearn.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 3 months ago
ran flow TESTf67f8a5009sklearn.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 3 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,