OpenML
Supervised Classification on newton_hema

Supervised Classification on newton_hema

Task 4354 Supervised Classification newton_hema 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7721, kappa: 0.5443, kb_relative_information_score: 666.4372, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7723, predictive_accuracy: 0.7721, prior_entropy: 1, recall: 0.7721, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8379, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7369, kappa: 0.4743, kb_relative_information_score: 556.1397, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 1, recall: 0.7371, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7735, kappa: 0.5486, kb_relative_information_score: 581.0456, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7779, predictive_accuracy: 0.7743, prior_entropy: 1, recall: 0.7743, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8009, scimark_benchmark: 1350.1007, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7242, kappa: 0.4486, kb_relative_information_score: 509.4479, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7245, predictive_accuracy: 0.7243, prior_entropy: 1, recall: 0.7243, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8129, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7917, kappa: 0.5843, kb_relative_information_score: 642.0311, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7947, predictive_accuracy: 0.7921, prior_entropy: 1, recall: 0.7921, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7796, scimark_benchmark: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 1286.0816, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 1357.7543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 1346.0988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7506, kappa: 0.5014, kb_relative_information_score: 580.3335, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7511, predictive_accuracy: 0.7507, prior_entropy: 1, recall: 0.7507, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8243, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7996, kappa: 0.6, kb_relative_information_score: 526.1634, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8024, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7863, scimark_benchmark: 1331.7205, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7618, kappa: 0.5243, kb_relative_information_score: 559.576, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7637, predictive_accuracy: 0.7621, prior_entropy: 1, recall: 0.7621, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8328, scimark_benchmark: 1341.2425, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 1295.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.745, kappa: 0.49, kb_relative_information_score: 592.2048, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7451, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.454, root_relative_squared_error: 0.908, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7386, kappa: 0.4771, kb_relative_information_score: 654.394, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7386, predictive_accuracy: 0.7386, prior_entropy: 1, recall: 0.7386, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.876, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8026, kappa: 0.6057, kb_relative_information_score: 646.9123, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8047, predictive_accuracy: 0.8029, prior_entropy: 1, recall: 0.8029, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.767, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 1332.576, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7131, kappa: 0.4271, kb_relative_information_score: 544.886, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7149, predictive_accuracy: 0.7136, prior_entropy: 1, recall: 0.7136, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0303, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7528, kappa: 0.5057, kb_relative_information_score: 654.6022, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.753, predictive_accuracy: 0.7529, prior_entropy: 1, recall: 0.7529, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8395, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8047, kappa: 0.61, kb_relative_information_score: 647.3311, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8068, predictive_accuracy: 0.805, prior_entropy: 1, recall: 0.805, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7663, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7242, kappa: 0.4486, kb_relative_information_score: 509.4479, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7245, predictive_accuracy: 0.7243, prior_entropy: 1, recall: 0.7243, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8129, scimark_benchmark: 1341.4232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7739, kappa: 0.5486, kb_relative_information_score: 626.6217, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7763, predictive_accuracy: 0.7743, prior_entropy: 1, recall: 0.7743, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7933, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7643, kappa: 0.5286, kb_relative_information_score: 740, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7643, predictive_accuracy: 0.7643, prior_entropy: 1, recall: 0.7643, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5963, kappa: 0.2343, kb_relative_information_score: 328, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6476, predictive_accuracy: 0.6171, prior_entropy: 1, recall: 0.6171, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.2375, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7509, kappa: 0.5043, kb_relative_information_score: 706, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7571, predictive_accuracy: 0.7521, prior_entropy: 1, recall: 0.7521, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7712, kappa: 0.5443, kb_relative_information_score: 568.329, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7768, predictive_accuracy: 0.7721, prior_entropy: 1, recall: 0.7721, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7978, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6492, kappa: 0.2986, kb_relative_information_score: 418, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6495, predictive_accuracy: 0.6493, prior_entropy: 1, recall: 0.6493, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5922, root_relative_squared_error: 1.1844, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8225, kappa: 0.6457, kb_relative_information_score: 618.7425, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8252, predictive_accuracy: 0.8229, prior_entropy: 1, recall: 0.8229, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7739, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7203, kappa: 0.4414, kb_relative_information_score: 546.0307, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7222, predictive_accuracy: 0.7207, prior_entropy: 1, recall: 0.7207, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7543, kappa: 0.5086, kb_relative_information_score: 712, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7543, predictive_accuracy: 0.7543, prior_entropy: 1, recall: 0.7543, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7661, kappa: 0.5329, kb_relative_information_score: 636.7103, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7681, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8149, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7371, kappa: 0.4743, kb_relative_information_score: 557.2703, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7372, predictive_accuracy: 0.7371, prior_entropy: 1, recall: 0.7371, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8972, scimark_benchmark: 1308.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7221, kappa: 0.4443, kb_relative_information_score: 622, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7222, predictive_accuracy: 0.7221, prior_entropy: 1, recall: 0.7221, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4873, kappa: -0.0029, kb_relative_information_score: -4, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.4984, predictive_accuracy: 0.4986, prior_entropy: 1, recall: 0.4986, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.4162, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7543, kappa: 0.5086, kb_relative_information_score: 623.8552, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7543, predictive_accuracy: 0.7543, prior_entropy: 1, recall: 0.7543, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6847, kappa: 0.3729, kb_relative_information_score: 522, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6907, predictive_accuracy: 0.6864, prior_entropy: 1, recall: 0.6864, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1199, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6773, kappa: 0.3571, kb_relative_information_score: 500, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6814, predictive_accuracy: 0.6786, prior_entropy: 1, recall: 0.6786, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5669, root_relative_squared_error: 1.1339, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs