OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.5222, kappa: 0.0446, kb_relative_information_score: 3.2593, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5223, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1257.3406, usercpu_time_millis: 13.458, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 12.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5236, kappa: 0.0495, kb_relative_information_score: 24.4969, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1292.1269, usercpu_time_millis: 42.991, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 41.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5126, kappa: 0.0297, kb_relative_information_score: 8.4409, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1243.7834, usercpu_time_millis: 71.829, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 69.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.517, kappa: 0.0396, kb_relative_information_score: 21.057, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5203, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1259.4555, usercpu_time_millis: 50.27, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 48.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: 0.0018, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1260.8913, usercpu_time_millis: 4.307, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5172, kappa: 0.0347, kb_relative_information_score: 30.1698, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5173, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1280.7231, usercpu_time_millis: 20.001, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 19.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.5997, kappa: 0.1997, kb_relative_information_score: 121.4145, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5999, predictive_accuracy: 0.5998, prior_entropy: 1, recall: 0.5998, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1246.4186, usercpu_time_millis: 290.346, usercpu_time_millis_testing: 4.876, usercpu_time_millis_training: 285.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.507, kappa: 0.0182, kb_relative_information_score: 8.6166, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5092, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1282.0277, usercpu_time_millis: 3.616, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.594, kappa: 0.1881, kb_relative_information_score: 84.0029, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5941, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1279.9272, usercpu_time_millis: 17.644, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 16.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.518, kappa: 0.0363, kb_relative_information_score: 18.3449, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.005, scimark_benchmark: 1251.5083, usercpu_time_millis: 3.573, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5161, kappa: 0.033, kb_relative_information_score: 1.4426, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5166, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017, scimark_benchmark: 1261.2587, usercpu_time_millis: 12.862, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 12.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 45.1086, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1264.578, usercpu_time_millis: 75.869, usercpu_time_millis_testing: 2.302, usercpu_time_millis_training: 73.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.5202, kappa: 0.0479, kb_relative_information_score: 17.5678, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5247, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1256.4063, usercpu_time_millis: 6.127, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.5239, kappa: 0.0495, kb_relative_information_score: 31.8293, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5249, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1257.6754, usercpu_time_millis: 77.782, usercpu_time_millis_testing: 1.732, usercpu_time_millis_training: 76.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 78.2282, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1276.4119, usercpu_time_millis: 356.755, usercpu_time_millis_testing: 7.412, usercpu_time_millis_training: 349.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5206, kappa: 0.0429, kb_relative_information_score: 27.9441, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1247.2608, usercpu_time_millis: 54.704, usercpu_time_millis_testing: 2.08, usercpu_time_millis_training: 52.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5234, kappa: 0.0495, kb_relative_information_score: 22.5641, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1229.2376, usercpu_time_millis: 135.346, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 133.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 55.8344, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5627, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1285.3423, usercpu_time_millis: 225.693, usercpu_time_millis_testing: 5.734, usercpu_time_millis_training: 219.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 78.8233, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1280.0331, usercpu_time_millis: 316.892, usercpu_time_millis_testing: 7.927, usercpu_time_millis_training: 308.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5048, kappa: 0.0149, kb_relative_information_score: 9.1792, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5076, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1253.4674, usercpu_time_millis: 2.762, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5286, kappa: 0.0594, kb_relative_information_score: 17.3834, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.53, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1239.5568, usercpu_time_millis: 5.761, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 5.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5276, kappa: 0.0578, kb_relative_information_score: 23.7582, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5292, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1256.3113, usercpu_time_millis: 36.548, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 35.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.525, kappa: 0.0512, kb_relative_information_score: 4.17, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1254.4178, usercpu_time_millis: 37.581, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 36.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 42.8246, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025, scimark_benchmark: 1287.0481, usercpu_time_millis: 55.651, usercpu_time_millis_testing: 3.55, usercpu_time_millis_training: 52.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 58.1682, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1279.8467, usercpu_time_millis: 37.919, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 36.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.528, kappa: 0.0578, kb_relative_information_score: 28.8321, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5291, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1287.0062, usercpu_time_millis: 16.62, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 16.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.5126, kappa: 0.0314, kb_relative_information_score: 8.291, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5161, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1278.0293, usercpu_time_millis: 13.464, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 12.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5444, kappa: 0.0891, kb_relative_information_score: 93.824, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1266, scimark_benchmark: 1243.7629, usercpu_time_millis: 4.015, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 3.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 54.8315, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1285.159, usercpu_time_millis: 140.35, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 135.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 50.9877, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1258.4476, usercpu_time_millis: 42.101, usercpu_time_millis_testing: 3.269, usercpu_time_millis_training: 38.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5065, kappa: 0.0165, kb_relative_information_score: 19.2114, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5084, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1258.587, usercpu_time_millis: 75.425, usercpu_time_millis_testing: 3.507, usercpu_time_millis_training: 71.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 103.564, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1283.5063, usercpu_time_millis: 83.321, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 82.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 88.7034, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1250.3607, usercpu_time_millis: 557.836, usercpu_time_millis_testing: 5.42, usercpu_time_millis_training: 552.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 51.7494, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1261.113, usercpu_time_millis: 128.202, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 125.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.5167, kappa: 0.0363, kb_relative_information_score: 22.8775, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5184, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1255.9991, usercpu_time_millis: 31.165, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 29.761,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.5305, kappa: 0.0611, kb_relative_information_score: 36.8847, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1284.5606, usercpu_time_millis: 40.007, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 38.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 79.3318, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1260.5244, usercpu_time_millis: 121.209, usercpu_time_millis_testing: 3.209, usercpu_time_millis_training: 118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 57.7035, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1287.2914, usercpu_time_millis: 555.794, usercpu_time_millis_testing: 5.526, usercpu_time_millis_training: 550.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 49.7141, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1248.7072, usercpu_time_millis: 98.52, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 94.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5186, kappa: 0.038, kb_relative_information_score: 29.3693, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1256.0312, usercpu_time_millis: 32.423, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 30.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5264, kappa: 0.0528, kb_relative_information_score: 36.4559, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5264, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1241.4301, usercpu_time_millis: 195.234, usercpu_time_millis_testing: 4.585, usercpu_time_millis_training: 190.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0331, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1250.2604, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 78.9247, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9897, scimark_benchmark: 1284.9754, usercpu_time_millis: 416.897, usercpu_time_millis_testing: 7.435, usercpu_time_millis_training: 409.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0253, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1258.9809, usercpu_time_millis: 8.233, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 6.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 53.4197, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1254.3099, usercpu_time_millis: 180.045, usercpu_time_millis_testing: 3.551, usercpu_time_millis_training: 176.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.4968, kb_relative_information_score: 13.7108, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1276.4513, usercpu_time_millis: 47.78, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 45.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0122, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1260.8289, usercpu_time_millis: 5.459, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5437, kappa: 0.0875, kb_relative_information_score: 43.1584, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1286.8685, usercpu_time_millis: 286.455, usercpu_time_millis_testing: 4.994, usercpu_time_millis_training: 281.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5, kb_relative_information_score: 0.0058, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, 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: 1251.0838, usercpu_time_millis: 4.599, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 4.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.4989, kb_relative_information_score: 18.2286, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1255.5591, usercpu_time_millis: 68.616, usercpu_time_millis_testing: 2.371, usercpu_time_millis_training: 66.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 80.6228, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1181, scimark_benchmark: 1252.0172, usercpu_time_millis: 2.249, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 51.137, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5512, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1248.6354, usercpu_time_millis: 120.148, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 118.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5452, kappa: 0.0908, kb_relative_information_score: 46.3142, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5454, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1249.2271, usercpu_time_millis: 434.742, usercpu_time_millis_testing: 5.157, usercpu_time_millis_training: 429.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 96.7915, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1288.3997, usercpu_time_millis: 486.266, usercpu_time_millis_testing: 6.29, usercpu_time_millis_training: 479.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 68.4832, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1284.0888, usercpu_time_millis: 283.302, usercpu_time_millis_testing: 4.482, usercpu_time_millis_training: 278.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5184, kappa: 0.038, kb_relative_information_score: 3.9858, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1279.5056, usercpu_time_millis: 32.67, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 31.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.5908, kappa: 0.1815, kb_relative_information_score: 85.8686, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5908, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1265.3992, usercpu_time_millis: 39.121, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 38.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 76.2102, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1272.1351, usercpu_time_millis: 229.643, usercpu_time_millis_testing: 4.738, usercpu_time_millis_training: 224.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 75.3968, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1252.9263, usercpu_time_millis: 193.866, usercpu_time_millis_testing: 3.818, usercpu_time_millis_training: 190.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 75.0047, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1278.2563, usercpu_time_millis: 381.971, usercpu_time_millis_testing: 5.424, usercpu_time_millis_training: 376.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 61.7591, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1280.7575, usercpu_time_millis: 242.504, usercpu_time_millis_testing: 5.361, usercpu_time_millis_training: 237.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.523, kappa: 0.0462, kb_relative_information_score: 4.2377, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5231, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1252.8371, usercpu_time_millis: 11.636, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 10.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5792, kappa: 0.1584, kb_relative_information_score: 62.4671, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5792, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1259.8857, usercpu_time_millis: 58.103, usercpu_time_millis_testing: 4.619, usercpu_time_millis_training: 53.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 80.5932, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5833, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1256.2902, usercpu_time_millis: 124.929, usercpu_time_millis_testing: 6.849, usercpu_time_millis_training: 118.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5256, kappa: 0.0512, kb_relative_information_score: 3.6787, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5256, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1280.7109, usercpu_time_millis: 3.049, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 2.786,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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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

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

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