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Supervised Classification on mc2

Supervised Classification on mc2

Task 4610 Supervised Classification mc2 194 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6744, kappa: 0.2325, kb_relative_information_score: 223.2199, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6729, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0557, scimark_benchmark: 1344.4042, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6691, kappa: 0.2217, kb_relative_information_score: 177.6536, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7012, predictive_accuracy: 0.7149, prior_entropy: 0.9099, recall: 0.7149, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.945, scimark_benchmark: 926.6704, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7002, kappa: 0.3016, kb_relative_information_score: 373.3228, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6969, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0326, scimark_benchmark: 1064.8317, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.6316, kappa: 0.1359, kb_relative_information_score: 285.5461, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6246, predictive_accuracy: 0.6472, prior_entropy: 0.9099, recall: 0.6472, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.2116, scimark_benchmark: 1119.7102, usercpu_time_millis: 930, usercpu_time_millis_testing: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.6467, kappa: 0.1666, kb_relative_information_score: 161.7938, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6426, predictive_accuracy: 0.6702, prior_entropy: 0.9099, recall: 0.6702, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0968, scimark_benchmark: 1350.073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6926, kappa: 0.2747, kb_relative_information_score: 248.0567, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7181, predictive_accuracy: 0.7286, prior_entropy: 0.9099, recall: 0.7286, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9271, scimark_benchmark: 1227.9507, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.67, kappa: 0.2236, kb_relative_information_score: 179.269, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7006, predictive_accuracy: 0.7149, prior_entropy: 0.9099, recall: 0.7149, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9447, scimark_benchmark: 1342.2985, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6734, kappa: 0.2313, kb_relative_information_score: 176.5376, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7045, predictive_accuracy: 0.7174, prior_entropy: 0.9099, recall: 0.7174, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9467, scimark_benchmark: 1345.7582, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.6757, kappa: 0.2365, kb_relative_information_score: 176.7051, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.706, predictive_accuracy: 0.7186, prior_entropy: 0.9099, recall: 0.7186, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9473, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.6414, kappa: 0.1556, kb_relative_information_score: 111.3566, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6569, predictive_accuracy: 0.6888, prior_entropy: 0.9099, recall: 0.6888, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0085, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.6947, kappa: 0.2863, kb_relative_information_score: 335.5499, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6913, predictive_accuracy: 0.705, prior_entropy: 0.9099, recall: 0.705, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4709, root_relative_squared_error: 1.007, scimark_benchmark: 1327.3684, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6873, kappa: 0.2727, kb_relative_information_score: 369.5682, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6835, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1174, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6903, kappa: 0.2728, kb_relative_information_score: 290.4497, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6877, predictive_accuracy: 0.7043, prior_entropy: 0.9099, recall: 0.7043, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0015, scimark_benchmark: 1341.4232, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5652, kappa: -0.0007, kb_relative_information_score: -65.4258, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.5624, predictive_accuracy: 0.5683, prior_entropy: 0.9099, recall: 0.5683, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.657, root_relative_squared_error: 1.405, scimark_benchmark: 925.4974, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 1329.8847, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.6836, kappa: 0.2524, kb_relative_information_score: 179.4598, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6942, predictive_accuracy: 0.7137, prior_entropy: 0.9099, recall: 0.7137, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.441, root_relative_squared_error: 0.943, scimark_benchmark: 1268.9931, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.6726, kappa: 0.2279, kb_relative_information_score: 165.0976, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6942, predictive_accuracy: 0.7124, prior_entropy: 0.9099, recall: 0.7124, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9969, scimark_benchmark: 1326.8946, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.6816, kappa: 0.2603, kb_relative_information_score: 394.7439, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6778, predictive_accuracy: 0.6882, prior_entropy: 0.9099, recall: 0.6882, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1803, scimark_benchmark: 1313.0885, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.6833, kappa: 0.2647, kb_relative_information_score: 403.5217, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6796, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1917, scimark_benchmark: 1327.9121, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.4946, kappa: 0.1625, kb_relative_information_score: -215.135, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7098, predictive_accuracy: 0.5087, prior_entropy: 0.9099, recall: 0.5087, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0393, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6959, kappa: 0.2813, kb_relative_information_score: 533.3841, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7065, predictive_accuracy: 0.723, prior_entropy: 0.9099, recall: 0.723, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.1255, scimark_benchmark: 1327.9121, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6839, kappa: 0.2532, kb_relative_information_score: 226.4435, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6989, predictive_accuracy: 0.7168, prior_entropy: 0.9099, recall: 0.7168, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9637, scimark_benchmark: 765.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6618, kappa: 0.2009, kb_relative_information_score: 161.8937, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6636, predictive_accuracy: 0.6901, prior_entropy: 0.9099, recall: 0.6901, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0055, scimark_benchmark: 1316.653, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 1346.3935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6814, kappa: 0.2493, kb_relative_information_score: 170.6195, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7112, predictive_accuracy: 0.7224, prior_entropy: 0.9099, recall: 0.7224, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9514, scimark_benchmark: 1318.5627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6837, kappa: 0.2526, kb_relative_information_score: 239.2743, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6925, predictive_accuracy: 0.7124, prior_entropy: 0.9099, recall: 0.7124, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9477, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1315.933, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.6946, kappa: 0.281, kb_relative_information_score: 264.6938, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6943, predictive_accuracy: 0.7118, prior_entropy: 0.9099, recall: 0.7118, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0369, scimark_benchmark: 961.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.6713, kappa: 0.2249, kb_relative_information_score: 219.9616, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6934, predictive_accuracy: 0.7118, prior_entropy: 0.9099, recall: 0.7118, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.998, scimark_benchmark: 1334.8495,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.699, kappa: 0.3156, kb_relative_information_score: 434.7849, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7008, predictive_accuracy: 0.6975, prior_entropy: 0.9099, recall: 0.6975, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.55, root_relative_squared_error: 1.1761, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6879, kappa: 0.2777, kb_relative_information_score: 381.1353, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6849, predictive_accuracy: 0.6925, prior_entropy: 0.9099, recall: 0.6925, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.525, root_relative_squared_error: 1.1226, scimark_benchmark: 1337.446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.6391, kappa: 0.1478, kb_relative_information_score: 314.5419, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6353, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.235, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6636, kappa: 0.2051, kb_relative_information_score: 420.3558, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6677, predictive_accuracy: 0.6938, prior_entropy: 0.9099, recall: 0.6938, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.1834, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5466, kb_relative_information_score: -2.3307, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0002, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6673, kappa: 0.2251, kb_relative_information_score: 305.3476, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6628, predictive_accuracy: 0.6758, prior_entropy: 0.9099, recall: 0.6758, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.1559, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, build_cpu_time: 25.0334, build_memory: 236704445.5304, f_measure: 0.708, kappa: 0.3117, kb_relative_information_score: 361.8954, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7105, predictive_accuracy: 0.7261, prior_entropy: 0.9099, recall: 0.7261, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9013, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, build_cpu_time: 2.0731, build_memory: 1460899303.3839, f_measure: 0.7161, kappa: 0.3347, kb_relative_information_score: 556.903, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7145, predictive_accuracy: 0.7273, prior_entropy: 0.9099, recall: 0.7273, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0991, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, build_cpu_time: 1.049, build_memory: 1050964997.1926, f_measure: 0.7075, kappa: 0.3149, kb_relative_information_score: 517.3487, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7052, predictive_accuracy: 0.7186, prior_entropy: 0.9099, recall: 0.7186, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.1135, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.4215, build_memory: 1094098423.9851, f_measure: 0.7058, kappa: 0.3104, kb_relative_information_score: 511.6353, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7035, predictive_accuracy: 0.7174, prior_entropy: 0.9099, recall: 0.7174, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1111, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, build_cpu_time: 0.955, build_memory: 3410861963.1006, f_measure: 0.7015, kappa: 0.295, kb_relative_information_score: 297.9536, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7247, predictive_accuracy: 0.7342, prior_entropy: 0.9099, recall: 0.7342, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9207, scimark_benchmark: 944.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, build_cpu_time: 1.9055, build_memory: 1517289758.0174, f_measure: 0.7018, kappa: 0.2962, kb_relative_information_score: 298.8878, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7287, predictive_accuracy: 0.736, prior_entropy: 0.9099, recall: 0.736, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9201, scimark_benchmark: 950.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, build_cpu_time: 0.3752, build_memory: 267986008.8894, f_measure: 0.7031, kappa: 0.2993, kb_relative_information_score: 327.9652, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7072, predictive_accuracy: 0.7236, prior_entropy: 0.9099, recall: 0.7236, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9149, scimark_benchmark: 938.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, build_cpu_time: 0.391, build_memory: 83305169.3118, f_measure: 0.7031, kappa: 0.2993, kb_relative_information_score: 327.9652, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7072, predictive_accuracy: 0.7236, prior_entropy: 0.9099, recall: 0.7236, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9149, scimark_benchmark: 898.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, build_cpu_time: 0.2403, build_memory: 4818356433.9926, f_measure: 0.7031, kappa: 0.2997, kb_relative_information_score: 322.2161, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7065, predictive_accuracy: 0.723, prior_entropy: 0.9099, recall: 0.723, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9188, scimark_benchmark: 897.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, build_cpu_time: 0.0955, build_memory: 82344680.0497, f_measure: 0.7038, kappa: 0.3016, kb_relative_information_score: 303.0197, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.706, predictive_accuracy: 0.7224, prior_entropy: 0.9099, recall: 0.7224, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9294, scimark_benchmark: 936.2497,

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