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OpenML
Task
Supervised Classification on analcatdata_marketing

Supervised Classification on analcatdata_marketing

Task 3849 Supervised Classification analcatdata_marketing 542 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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542 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.5814, kappa: 0.0294, kb_relative_information_score: -30.4014, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5805, predictive_accuracy: 0.5824, prior_entropy: 0.901, recall: 0.5824, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1348, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5597, kappa: 0.0036, kb_relative_information_score: -35.8235, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5693, predictive_accuracy: 0.5522, prior_entropy: 0.901, recall: 0.5522, relative_absolute_error: 1.0351, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.4394, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5553, kappa: 0.0315, kb_relative_information_score: -45.6241, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5822, predictive_accuracy: 0.5412, prior_entropy: 0.901, recall: 0.5412, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6773, root_relative_squared_error: 1.457, scimark_benchmark: 1313.9994, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 869.6028, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5824, kappa: 0.0185, kb_relative_information_score: -1.5215, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5758, predictive_accuracy: 0.5907, prior_entropy: 0.901, recall: 0.5907, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6398, root_relative_squared_error: 1.3762, scimark_benchmark: 1297.6599, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5731, kappa: 0.0196, kb_relative_information_score: -5.1695, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6106, predictive_accuracy: 0.6813, prior_entropy: 0.901, recall: 0.6813, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0044, scimark_benchmark: 1335.643, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.5837, kappa: 0.0335, kb_relative_information_score: -6.4218, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5822, predictive_accuracy: 0.5852, prior_entropy: 0.901, recall: 0.5852, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.3854, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.5613, kappa: -0.0133, kb_relative_information_score: 20.5369, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5454, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0667, scimark_benchmark: 916.5955, usercpu_time_millis: 670, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091, scimark_benchmark: 934.0566, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5703, kappa: -0.0202, kb_relative_information_score: -25.8771, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5587, predictive_accuracy: 0.5879, prior_entropy: 0.901, recall: 0.5879, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1169, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.6111, kappa: 0.0749, kb_relative_information_score: 8.9283, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6016, predictive_accuracy: 0.6291, prior_entropy: 0.901, recall: 0.6291, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.1341, scimark_benchmark: 934.0566, usercpu_time_millis: 300, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5885, kappa: 0.0195, kb_relative_information_score: 1.4595, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5767, predictive_accuracy: 0.6099, prior_entropy: 0.901, recall: 0.6099, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1107, scimark_benchmark: 914.4835, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5552, kappa: -0.0153, kb_relative_information_score: -9.8172, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5189, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0092, scimark_benchmark: 1331.6907, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.555, kappa: -0.0354, kb_relative_information_score: -34.9313, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5524, predictive_accuracy: 0.5577, prior_entropy: 0.901, recall: 0.5577, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6502, root_relative_squared_error: 1.3986, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5746, kappa: 0.025, kb_relative_information_score: -3.3512, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6287, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0172, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.5557, kb_relative_information_score: 0.2727, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.6929, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5997, kappa: 0.0464, kb_relative_information_score: 62.1822, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5989, predictive_accuracy: 0.6621, prior_entropy: 0.901, recall: 0.6621, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.2504, scimark_benchmark: 1317.1452, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.1999, kappa: 0.012, kb_relative_information_score: -229.3848, mean_absolute_error: 0.6648, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6608, predictive_accuracy: 0.3352, prior_entropy: 0.901, recall: 0.3352, relative_absolute_error: 1.5368, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.8154, root_relative_squared_error: 1.7539, scimark_benchmark: 1280.6952, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.5502, kappa: -0.0318, kb_relative_information_score: -52.506, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.554, predictive_accuracy: 0.5467, prior_entropy: 0.901, recall: 0.5467, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5944, root_relative_squared_error: 1.2785, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5711, kappa: 0.0043, kb_relative_information_score: 69.5327, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5738, predictive_accuracy: 0.6703, prior_entropy: 0.901, recall: 0.6703, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5742, root_relative_squared_error: 1.2351, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.5716, kappa: 0.0142, kb_relative_information_score: 76.8831, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5959, predictive_accuracy: 0.6786, prior_entropy: 0.901, recall: 0.6786, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5669, root_relative_squared_error: 1.2195, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.5557, kb_relative_information_score: -0.287, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5584, kappa: -0.0143, kb_relative_information_score: -1.669, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5365, predictive_accuracy: 0.6703, prior_entropy: 0.901, recall: 0.6703, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0302, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.5781, kappa: -0.0023, kb_relative_information_score: -2.433, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5667, predictive_accuracy: 0.5962, prior_entropy: 0.901, recall: 0.5962, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2977, scimark_benchmark: 927.0753, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.5793, kappa: 0.0202, kb_relative_information_score: -11.213, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5765, predictive_accuracy: 0.5824, prior_entropy: 0.901, recall: 0.5824, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6168, root_relative_squared_error: 1.3269, scimark_benchmark: 941.7954, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5704, kappa: 0.0038, kb_relative_information_score: -20.8607, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5694, predictive_accuracy: 0.5714, prior_entropy: 0.901, recall: 0.5714, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.613, root_relative_squared_error: 1.3187, scimark_benchmark: 923.7642, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5747, kappa: 0.0171, kb_relative_information_score: -22.0396, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5752, predictive_accuracy: 0.5742, prior_entropy: 0.901, recall: 0.5742, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5978, root_relative_squared_error: 1.2859, scimark_benchmark: 934.5243, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.5873, kappa: 0.0197, kb_relative_information_score: 40.6251, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5821, predictive_accuracy: 0.6566, prior_entropy: 0.901, recall: 0.6566, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.1741, scimark_benchmark: 940.2922, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5944, kappa: 0.04, kb_relative_information_score: 49.6226, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5995, predictive_accuracy: 0.6676, prior_entropy: 0.901, recall: 0.6676, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.1575, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5912, kappa: 0.0438, kb_relative_information_score: 62.2386, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6154, predictive_accuracy: 0.6786, prior_entropy: 0.901, recall: 0.6786, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.1328, scimark_benchmark: 942.1229, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.5767, kappa: 0.0156, kb_relative_information_score: 58.1694, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5883, predictive_accuracy: 0.6731, prior_entropy: 0.901, recall: 0.6731, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1402, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.5657, kappa: 0.0026, kb_relative_information_score: 64.6691, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5736, predictive_accuracy: 0.6758, prior_entropy: 0.901, recall: 0.6758, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1444, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.5855, kappa: 0.0067, kb_relative_information_score: -19.4897, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5711, predictive_accuracy: 0.6209, prior_entropy: 0.901, recall: 0.6209, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0848, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, build_cpu_time: 0.0094, build_memory: 726146287.1209, f_measure: 0.5771, kappa: -0.0139, kb_relative_information_score: -17.8496, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5606, predictive_accuracy: 0.6181, prior_entropy: 0.901, recall: 0.6181, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0624, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, build_cpu_time: 0.006, build_memory: 528020949.5165, f_measure: 0.5995, kappa: 0.0423, kb_relative_information_score: -16.0103, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5933, predictive_accuracy: 0.6538, prior_entropy: 0.901, recall: 0.6538, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0459, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, build_cpu_time: 4.2296, build_memory: 13761534.3516, f_measure: 0.5682, kappa: 0.0148, kb_relative_information_score: -31.791, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5742, predictive_accuracy: 0.5632, prior_entropy: 0.901, recall: 0.5632, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2972, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 7.9127, build_memory: 813692222.3077, f_measure: 0.5902, kappa: 0.0508, kb_relative_information_score: 0.1715, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5897, predictive_accuracy: 0.5907, prior_entropy: 0.901, recall: 0.5907, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6014, root_relative_squared_error: 1.2937, scimark_benchmark: 886.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, build_cpu_time: 15.4531, build_memory: 28575303.8681, f_measure: 0.6018, kappa: 0.0572, kb_relative_information_score: 17.6774, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5932, predictive_accuracy: 0.6154, prior_entropy: 0.901, recall: 0.6154, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.3011, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, build_cpu_time: 62.1706, build_memory: 1265646394.989, f_measure: 0.6076, kappa: 0.0593, kb_relative_information_score: 43.8009, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5976, predictive_accuracy: 0.6429, prior_entropy: 0.901, recall: 0.6429, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5955, root_relative_squared_error: 1.281, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, build_cpu_time: 277.8631, build_memory: 183710156.989, f_measure: 0.6068, kappa: 0.0604, kb_relative_information_score: 33.239, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5961, predictive_accuracy: 0.6319, prior_entropy: 0.901, recall: 0.6319, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6062, root_relative_squared_error: 1.3039, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, build_cpu_time: 136.0283, build_memory: 90767906.3956, f_measure: 0.6011, kappa: 0.0522, kb_relative_information_score: 23.3252, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5913, predictive_accuracy: 0.6181, prior_entropy: 0.901, recall: 0.6181, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.312, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, build_cpu_time: 67.0254, build_memory: 1815356494.8352, f_measure: 0.586, kappa: 0.0157, kb_relative_information_score: 6.3694, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5748, predictive_accuracy: 0.6044, prior_entropy: 0.901, recall: 0.6044, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6204, root_relative_squared_error: 1.3346, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, build_cpu_time: 36.2584, build_memory: 405716306.2418, f_measure: 0.5612, kappa: -0.0292, kb_relative_information_score: -10.8262, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5551, predictive_accuracy: 0.5687, prior_entropy: 0.901, recall: 0.5687, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6271, root_relative_squared_error: 1.3489, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, build_cpu_time: 2.2695, build_memory: 837895963.4286, f_measure: 0.6205, kappa: 0.0977, kb_relative_information_score: 9.6175, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6118, predictive_accuracy: 0.6374, prior_entropy: 0.901, recall: 0.6374, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1606, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, build_cpu_time: 3.9966, build_memory: 643634369.2308, f_measure: 0.6175, kappa: 0.0931, kb_relative_information_score: 30.0305, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.6093, predictive_accuracy: 0.6319, prior_entropy: 0.901, recall: 0.6319, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1838, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, build_cpu_time: 10.2572, build_memory: 215712648.7253, f_measure: 0.6059, kappa: 0.0609, kb_relative_information_score: 27.189, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5956, predictive_accuracy: 0.6264, prior_entropy: 0.901, recall: 0.6264, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.571, root_relative_squared_error: 1.2284, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, build_cpu_time: 18.4368, build_memory: 986842249.5604, f_measure: 0.593, kappa: 0.0278, kb_relative_information_score: 23.6448, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5808, predictive_accuracy: 0.6181, prior_entropy: 0.901, recall: 0.6181, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2734, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, build_cpu_time: 31.2037, build_memory: 840740667.0549, f_measure: 0.593, kappa: 0.0278, kb_relative_information_score: 23.4727, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5808, predictive_accuracy: 0.6181, prior_entropy: 0.901, recall: 0.6181, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.296, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, build_cpu_time: 0.0777, build_memory: 1085812817.8681, f_measure: 0.5895, kappa: 0.0159, kb_relative_information_score: -2.1233, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5757, predictive_accuracy: 0.6264, prior_entropy: 0.901, recall: 0.6264, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.515, root_relative_squared_error: 1.1079, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, build_cpu_time: 0.1056, build_memory: 1388379431.055, f_measure: 0.5895, kappa: 0.0159, kb_relative_information_score: -2.1233, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5757, predictive_accuracy: 0.6264, prior_entropy: 0.901, recall: 0.6264, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.515, root_relative_squared_error: 1.1079, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, build_cpu_time: 0.0702, build_memory: 1056541972.9011, f_measure: 0.5895, kappa: 0.0159, kb_relative_information_score: -1.6803, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5757, predictive_accuracy: 0.6264, prior_entropy: 0.901, recall: 0.6264, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1072, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, build_cpu_time: 0.0612, build_memory: 540006764.1978, f_measure: 0.5951, kappa: 0.0293, kb_relative_information_score: -3.6559, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5832, predictive_accuracy: 0.6374, prior_entropy: 0.901, recall: 0.6374, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1064, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, build_cpu_time: 0.0456, build_memory: 248228291.5165, f_measure: 0.5914, kappa: 0.0205, kb_relative_information_score: -3.139, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.5782, predictive_accuracy: 0.6291, prior_entropy: 0.901, recall: 0.6291, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0928, scimark_benchmark: 945.0532,

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