OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9448, kappa: 0.8732, kb_relative_information_score: 12515.3539, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9459, prior_entropy: 0.9135, recall: 0.9459, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4409, scimark_benchmark: 1261.4146, usercpu_time_millis: 9.935, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 9.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.947, kappa: 0.8781, kb_relative_information_score: 12714.9461, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9503, predictive_accuracy: 0.948, prior_entropy: 0.9135, recall: 0.948, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.425, scimark_benchmark: 1260.3261, usercpu_time_millis: 801.322, usercpu_time_millis_testing: 37.883, usercpu_time_millis_training: 763.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 11961.9381, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4805, scimark_benchmark: 1248.7754, usercpu_time_millis: 289.893, usercpu_time_millis_testing: 15.847, usercpu_time_millis_training: 274.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9498, kappa: 0.8846, kb_relative_information_score: 12841.5593, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9524, predictive_accuracy: 0.9507, prior_entropy: 0.9135, recall: 0.9507, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.417, scimark_benchmark: 1271.0924, usercpu_time_millis: 429.012, usercpu_time_millis_testing: 15.345, usercpu_time_millis_training: 413.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9424, kappa: 0.8673, kb_relative_information_score: 12378.3564, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9437, prior_entropy: 0.9135, recall: 0.9437, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4517, scimark_benchmark: 1267.1015, usercpu_time_millis: 279.076, usercpu_time_millis_testing: 17.477, usercpu_time_millis_training: 261.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9411, kappa: 0.8641, kb_relative_information_score: 10497.5127, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4918, scimark_benchmark: 1249.731, usercpu_time_millis: 393.884, usercpu_time_millis_testing: 29.109, usercpu_time_millis_training: 364.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9322, kappa: 0.8431, kb_relative_information_score: 9524.6378, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5481, scimark_benchmark: 1258.2371, usercpu_time_millis: 137.151, usercpu_time_millis_testing: 12.42, usercpu_time_millis_training: 124.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9394, kappa: 0.8601, kb_relative_information_score: 12287.2441, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9451, predictive_accuracy: 0.9409, prior_entropy: 0.9135, recall: 0.9409, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4621, scimark_benchmark: 1249.4966, usercpu_time_millis: 245.152, usercpu_time_millis_testing: 11.518, usercpu_time_millis_training: 233.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9491, kappa: 0.8831, kb_relative_information_score: 12822.9715, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9519, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4176, scimark_benchmark: 1236.7168, usercpu_time_millis: 263.414, usercpu_time_millis_testing: 9.216, usercpu_time_millis_training: 254.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9369, kappa: 0.8542, kb_relative_information_score: 12235.8034, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9434, predictive_accuracy: 0.9386, prior_entropy: 0.9135, recall: 0.9386, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4671, scimark_benchmark: 1238.5944, usercpu_time_millis: 605.794, usercpu_time_millis_testing: 24.533, usercpu_time_millis_training: 581.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9511, kappa: 0.8879, kb_relative_information_score: 12961.3892, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9532, predictive_accuracy: 0.9519, prior_entropy: 0.9135, recall: 0.9519, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4118, scimark_benchmark: 1254.8016, usercpu_time_millis: 318.145, usercpu_time_millis_testing: 8.118, usercpu_time_millis_training: 310.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9323, kappa: 0.8433, kb_relative_information_score: 9829.3942, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5338, scimark_benchmark: 1236.7225, usercpu_time_millis: 146.423, usercpu_time_millis_testing: 13.815, usercpu_time_millis_training: 132.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9404, kappa: 0.8625, kb_relative_information_score: 12297.6131, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.9419, prior_entropy: 0.9135, recall: 0.9419, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4588, scimark_benchmark: 1257.2861, usercpu_time_millis: 105.717, usercpu_time_millis_testing: 5.792, usercpu_time_millis_training: 99.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9447, kappa: 0.8727, kb_relative_information_score: 12618.8654, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9484, predictive_accuracy: 0.9458, prior_entropy: 0.9135, recall: 0.9458, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4343, scimark_benchmark: 1246.0487, usercpu_time_millis: 82.853, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 80.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9329, kappa: 0.8449, kb_relative_information_score: 9682.7748, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.935, prior_entropy: 0.9135, recall: 0.935, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.54, scimark_benchmark: 1269.993, usercpu_time_millis: 102.297, usercpu_time_millis_testing: 7.911, usercpu_time_millis_training: 94.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9496, kappa: 0.8841, kb_relative_information_score: 12819.6094, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9524, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4162, scimark_benchmark: 1249.3218, usercpu_time_millis: 425.877, usercpu_time_millis_testing: 21.805, usercpu_time_millis_training: 404.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9415, kappa: 0.8651, kb_relative_information_score: 10510.9683, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4904, scimark_benchmark: 1247.3883, usercpu_time_millis: 260.723, usercpu_time_millis_testing: 19.239, usercpu_time_millis_training: 241.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9395, kappa: 0.8603, kb_relative_information_score: 12130.3188, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9451, predictive_accuracy: 0.941, prior_entropy: 0.9135, recall: 0.941, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4614, scimark_benchmark: 1270.3453, usercpu_time_millis: 515.865, usercpu_time_millis_testing: 29.986, usercpu_time_millis_training: 485.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9448, kappa: 0.8728, kb_relative_information_score: 12558.3982, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9485, predictive_accuracy: 0.9459, prior_entropy: 0.9135, recall: 0.9459, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.436, scimark_benchmark: 1236.0144, usercpu_time_millis: 144.577, usercpu_time_millis_testing: 9.056, usercpu_time_millis_training: 135.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9376, kappa: 0.856, kb_relative_information_score: 10351.3321, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9435, predictive_accuracy: 0.9393, prior_entropy: 0.9135, recall: 0.9393, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5039, scimark_benchmark: 1272.2423, usercpu_time_millis: 119.374, usercpu_time_millis_testing: 10.925, usercpu_time_millis_training: 108.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9417, kappa: 0.8657, kb_relative_information_score: 12241.998, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4546, scimark_benchmark: 1261.3282, usercpu_time_millis: 530.074, usercpu_time_millis_testing: 30.423, usercpu_time_millis_training: 499.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12123.7425, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4771, scimark_benchmark: 1240.7823, usercpu_time_millis: 163.378, usercpu_time_millis_testing: 7.28, usercpu_time_millis_training: 156.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9496, kappa: 0.8841, kb_relative_information_score: 12828.7736, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9523, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.416, scimark_benchmark: 1261.398, usercpu_time_millis: 897.553, usercpu_time_millis_testing: 39.459, usercpu_time_millis_training: 858.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9442, kappa: 0.8714, kb_relative_information_score: 12571.7724, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9479, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4374, scimark_benchmark: 1228.7996, usercpu_time_millis: 393.733, usercpu_time_millis_testing: 16.623, usercpu_time_millis_training: 377.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9527, kappa: 0.8915, kb_relative_information_score: 13039.5025, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9546, predictive_accuracy: 0.9534, prior_entropy: 0.9135, recall: 0.9534, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4048, scimark_benchmark: 1234.3561, usercpu_time_millis: 895.737, usercpu_time_millis_testing: 27.509, usercpu_time_millis_training: 868.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9537, kappa: 0.8939, kb_relative_information_score: 13045.3019, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9555, predictive_accuracy: 0.9544, prior_entropy: 0.9135, recall: 0.9544, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4021, scimark_benchmark: 1258.5226, usercpu_time_millis: 482.494, usercpu_time_millis_testing: 21.512, usercpu_time_millis_training: 460.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.5496, kappa: 0.0181, kb_relative_information_score: 3645.187, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7814, predictive_accuracy: 0.6758, prior_entropy: 0.9135, recall: 0.6758, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8372, scimark_benchmark: 1308.4478, usercpu_time_millis: 159.004, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 157.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9416, kappa: 0.8654, kb_relative_information_score: 10547.7601, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4878, scimark_benchmark: 1230.1842, usercpu_time_millis: 338.628, usercpu_time_millis_testing: 25.117, usercpu_time_millis_training: 313.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9417, kappa: 0.8655, kb_relative_information_score: 12329.8471, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9462, predictive_accuracy: 0.943, prior_entropy: 0.9135, recall: 0.943, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1249.9191, usercpu_time_millis: 62.293, usercpu_time_millis_testing: 3.407, usercpu_time_millis_training: 58.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9316, kappa: 0.8418, kb_relative_information_score: 11776.1082, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9391, predictive_accuracy: 0.9337, prior_entropy: 0.9135, recall: 0.9337, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4806, scimark_benchmark: 1265.3041, usercpu_time_millis: 132.489, usercpu_time_millis_testing: 10.339, usercpu_time_millis_training: 122.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9332, kappa: 0.8456, kb_relative_information_score: 9964.953, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9352, prior_entropy: 0.9135, recall: 0.9352, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5262, scimark_benchmark: 1232.8273, usercpu_time_millis: 310.944, usercpu_time_millis_testing: 24.569, usercpu_time_millis_training: 286.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.95, kappa: 0.8852, kb_relative_information_score: 12892.942, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9509, prior_entropy: 0.9135, recall: 0.9509, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4138, scimark_benchmark: 1265.0585, usercpu_time_millis: 901.415, usercpu_time_millis_testing: 30.588, usercpu_time_millis_training: 870.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9366, kappa: 0.8536, kb_relative_information_score: 10293.5631, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.943, predictive_accuracy: 0.9384, prior_entropy: 0.9135, recall: 0.9384, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5074, scimark_benchmark: 1240.1872, usercpu_time_millis: 226.673, usercpu_time_millis_testing: 16.832, usercpu_time_millis_training: 209.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9322, kappa: 0.8431, kb_relative_information_score: 11109.4419, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5121, scimark_benchmark: 1300.0434, usercpu_time_millis: 439.04, usercpu_time_millis_testing: 6.254, usercpu_time_millis_training: 432.786,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9497, kappa: 0.8845, kb_relative_information_score: 12912.2032, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9515, predictive_accuracy: 0.9504, prior_entropy: 0.9135, recall: 0.9504, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4196, scimark_benchmark: 1253.9213, usercpu_time_millis: 568.363, usercpu_time_millis_testing: 14.821, usercpu_time_millis_training: 553.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.937, kappa: 0.8544, kb_relative_information_score: 12275.3379, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9432, predictive_accuracy: 0.9387, prior_entropy: 0.9135, recall: 0.9387, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4647, scimark_benchmark: 1221.659, usercpu_time_millis: 192.395, usercpu_time_millis_testing: 7.533, usercpu_time_millis_training: 184.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9459, kappa: 0.8755, kb_relative_information_score: 12637.8901, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9495, predictive_accuracy: 0.947, prior_entropy: 0.9135, recall: 0.947, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4281, scimark_benchmark: 1227.6804, usercpu_time_millis: 105.988, usercpu_time_millis_testing: 4.613, usercpu_time_millis_training: 101.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9527, kappa: 0.8918, kb_relative_information_score: 13079.6565, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9542, predictive_accuracy: 0.9534, prior_entropy: 0.9135, recall: 0.9534, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4071, scimark_benchmark: 1254.4238, usercpu_time_millis: 116.683, usercpu_time_millis_testing: 2.841, usercpu_time_millis_training: 113.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9537, kappa: 0.8938, kb_relative_information_score: 13009.879, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9557, predictive_accuracy: 0.9544, prior_entropy: 0.9135, recall: 0.9544, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4032, scimark_benchmark: 1229.9905, usercpu_time_millis: 671.624, usercpu_time_millis_testing: 35.185, usercpu_time_millis_training: 636.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9541, kappa: 0.8949, kb_relative_information_score: 13071.7186, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9558, predictive_accuracy: 0.9548, prior_entropy: 0.9135, recall: 0.9548, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4029, scimark_benchmark: 1256.3039, usercpu_time_millis: 68.686, usercpu_time_millis_testing: 3.207, usercpu_time_millis_training: 65.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.851, kappa: 0.6645, kb_relative_information_score: 6212.9704, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8523, predictive_accuracy: 0.8502, prior_entropy: 0.9135, recall: 0.8502, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632, scimark_benchmark: 1275.2552, usercpu_time_millis: 180.134, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 180.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8507, kappa: 0.6641, kb_relative_information_score: 6188.4836, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8522, predictive_accuracy: 0.8498, prior_entropy: 0.9135, recall: 0.8498, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.764, scimark_benchmark: 1282.5052, usercpu_time_millis: 257.507, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 257.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.851, kappa: 0.6645, kb_relative_information_score: 6204.1126, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8524, predictive_accuracy: 0.8501, prior_entropy: 0.9135, recall: 0.8501, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7634, scimark_benchmark: 1295.8866, usercpu_time_millis: 94.779, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 94.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8497, kappa: 0.6622, kb_relative_information_score: 6119.6667, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8486, prior_entropy: 0.9135, recall: 0.8486, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7666, scimark_benchmark: 1282.2902, usercpu_time_millis: 161.823, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 161.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9483, kappa: 0.8811, kb_relative_information_score: 12795.1973, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.42, scimark_benchmark: 1263.9374, usercpu_time_millis: 889.342, usercpu_time_millis_testing: 27.466, usercpu_time_millis_training: 861.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9395, kappa: 0.8603, kb_relative_information_score: 10627.0852, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.945, predictive_accuracy: 0.941, prior_entropy: 0.9135, recall: 0.941, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4968, scimark_benchmark: 1260.0852, usercpu_time_millis: 5.184, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 4.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.5394, kb_relative_information_score: -1163.7131, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9869, scimark_benchmark: 1282.8668, usercpu_time_millis: 7.647, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 7.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9357, kappa: 0.8514, kb_relative_information_score: 12232.304, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9424, predictive_accuracy: 0.9375, prior_entropy: 0.9135, recall: 0.9375, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4686, scimark_benchmark: 1246.3706, usercpu_time_millis: 708.197, usercpu_time_millis_testing: 24.512, usercpu_time_millis_training: 683.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9329, kappa: 0.8447, kb_relative_information_score: 12175.9442, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4722, scimark_benchmark: 1241.744, usercpu_time_millis: 68.857, usercpu_time_millis_testing: 2.606, usercpu_time_millis_training: 66.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9417, kappa: 0.8662, kb_relative_information_score: 12524.4556, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.446, scimark_benchmark: 1276.481, usercpu_time_millis: 683.16, usercpu_time_millis_testing: 13.336, usercpu_time_millis_training: 669.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8514, kappa: 0.665, kb_relative_information_score: 6099.6073, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8524, predictive_accuracy: 0.8507, prior_entropy: 0.9135, recall: 0.8507, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7655, scimark_benchmark: 1266.4971, usercpu_time_millis: 2.764, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9539, kappa: 0.8943, kb_relative_information_score: 13053.873, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9556, predictive_accuracy: 0.9545, prior_entropy: 0.9135, recall: 0.9545, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4024, scimark_benchmark: 1254.6765, usercpu_time_millis: 720.488, usercpu_time_millis_testing: 18.207, usercpu_time_millis_training: 702.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9347, kappa: 0.849, kb_relative_information_score: 10156.1044, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9417, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5146, scimark_benchmark: 1271.7713, usercpu_time_millis: 240.586, usercpu_time_millis_testing: 17.581, usercpu_time_millis_training: 223.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9456, kappa: 0.8747, kb_relative_information_score: 12635.9514, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9492, predictive_accuracy: 0.9467, prior_entropy: 0.9135, recall: 0.9467, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4306, scimark_benchmark: 1271.1401, usercpu_time_millis: 211.819, usercpu_time_millis_testing: 11.932, usercpu_time_millis_training: 199.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9328, kappa: 0.8447, kb_relative_information_score: 9433.6381, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5519, scimark_benchmark: 1248.7657, usercpu_time_millis: 220.112, usercpu_time_millis_testing: 19.463, usercpu_time_millis_training: 200.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9333, kappa: 0.8457, kb_relative_information_score: 12140.931, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9407, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4706, scimark_benchmark: 1272.689, usercpu_time_millis: 557.091, usercpu_time_millis_testing: 29.677, usercpu_time_millis_training: 527.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9378, kappa: 0.8564, kb_relative_information_score: 10311.2081, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9439, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.5049, scimark_benchmark: 1254.5052, usercpu_time_millis: 321.866, usercpu_time_millis_testing: 25.927, usercpu_time_millis_training: 295.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9328, kappa: 0.8445, kb_relative_information_score: 9588.7655, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5448, scimark_benchmark: 1252.7803, usercpu_time_millis: 67.398, usercpu_time_millis_testing: 5.815, usercpu_time_millis_training: 61.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9418, kappa: 0.8658, kb_relative_information_score: 12382.6676, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4542, scimark_benchmark: 1246.5337, usercpu_time_millis: 53.838, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 50.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9407, kappa: 0.8631, kb_relative_information_score: 10547.6808, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4907, scimark_benchmark: 1234.2584, usercpu_time_millis: 138.316, usercpu_time_millis_testing: 11.013, usercpu_time_millis_training: 127.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.941, kappa: 0.8639, kb_relative_information_score: 12340.2501, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4588, scimark_benchmark: 1223.1695, usercpu_time_millis: 695.017, usercpu_time_millis_testing: 24.393, usercpu_time_millis_training: 670.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9336, kappa: 0.8465, kb_relative_information_score: 10043.7925, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.941, predictive_accuracy: 0.9356, prior_entropy: 0.9135, recall: 0.9356, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5217, scimark_benchmark: 1257.4973, usercpu_time_millis: 52.907, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 48.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.942, kappa: 0.8664, kb_relative_information_score: 12420.9177, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9433, prior_entropy: 0.9135, recall: 0.9433, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4527, scimark_benchmark: 1229.3523, usercpu_time_millis: 603.965, usercpu_time_millis_testing: 19.891, usercpu_time_millis_training: 584.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9522, kappa: 0.8902, kb_relative_information_score: 12970.6732, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9543, predictive_accuracy: 0.9529, prior_entropy: 0.9135, recall: 0.9529, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4093, scimark_benchmark: 1226.808, usercpu_time_millis: 479.707, usercpu_time_millis_testing: 15.273, usercpu_time_millis_training: 464.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9364, kappa: 0.8531, kb_relative_information_score: 12189.8596, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9382, prior_entropy: 0.9135, recall: 0.9382, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4667, scimark_benchmark: 1258.2973, usercpu_time_millis: 223.371, usercpu_time_millis_testing: 12.595, usercpu_time_millis_training: 210.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9338, kappa: 0.8471, kb_relative_information_score: 12218.4056, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.941, predictive_accuracy: 0.9358, prior_entropy: 0.9135, recall: 0.9358, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4699, scimark_benchmark: 1260.0671, usercpu_time_millis: 613.176, usercpu_time_millis_testing: 19.446, usercpu_time_millis_training: 593.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9533, kappa: 0.8929, kb_relative_information_score: 13021.9571, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9553, predictive_accuracy: 0.954, prior_entropy: 0.9135, recall: 0.954, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4041, scimark_benchmark: 1261.4902, usercpu_time_millis: 148.372, usercpu_time_millis_testing: 4.633, usercpu_time_millis_training: 143.739,

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