Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

107074 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9454, kappa: 0.8744, kb_relative_information_score: 12621.8763, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.9465, prior_entropy: 0.9135, recall: 0.9465, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4323, scimark_benchmark: 1264.1104, usercpu_time_millis: 360.388, usercpu_time_millis_testing: 19.249, usercpu_time_millis_training: 341.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9337, kappa: 0.8467, kb_relative_information_score: 10016.0615, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.941, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5226, scimark_benchmark: 1265.8672, usercpu_time_millis: 179.501, usercpu_time_millis_testing: 13.637, usercpu_time_millis_training: 165.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9464, kappa: 0.8767, kb_relative_information_score: 12719.6089, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9474, prior_entropy: 0.9135, recall: 0.9474, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4263, scimark_benchmark: 1259.7692, usercpu_time_millis: 651.934, usercpu_time_millis_testing: 24.155, usercpu_time_millis_training: 627.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9343, kappa: 0.848, kb_relative_information_score: 10162.9196, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9414, predictive_accuracy: 0.9362, prior_entropy: 0.9135, recall: 0.9362, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5147, scimark_benchmark: 1239.9504, usercpu_time_millis: 410.58, usercpu_time_millis_testing: 26.972, usercpu_time_millis_training: 383.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.945, kappa: 0.8734, kb_relative_information_score: 12493.8736, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9488, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4372, scimark_benchmark: 1247.2781, usercpu_time_millis: 92.962, usercpu_time_millis_testing: 6.826, usercpu_time_millis_training: 86.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9324, kappa: 0.8437, kb_relative_information_score: 11831.1428, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9345, prior_entropy: 0.9135, recall: 0.9345, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4972, scimark_benchmark: 1235.6478, usercpu_time_millis: 268.514, usercpu_time_millis_testing: 18.051, usercpu_time_millis_training: 250.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9495, kappa: 0.8839, kb_relative_information_score: 12815.8972, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9524, predictive_accuracy: 0.9504, prior_entropy: 0.9135, recall: 0.9504, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4168, scimark_benchmark: 1243.6748, usercpu_time_millis: 304.618, usercpu_time_millis_testing: 13.938, usercpu_time_millis_training: 290.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.937, kappa: 0.8546, kb_relative_information_score: 10263.2729, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9433, predictive_accuracy: 0.9388, prior_entropy: 0.9135, recall: 0.9388, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5075, scimark_benchmark: 1261.0528, usercpu_time_millis: 215.768, usercpu_time_millis_testing: 14.436, usercpu_time_millis_training: 201.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.946, kappa: 0.8757, kb_relative_information_score: 12628.7544, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9495, predictive_accuracy: 0.9471, prior_entropy: 0.9135, recall: 0.9471, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4309, scimark_benchmark: 1252.9009, usercpu_time_millis: 581.727, usercpu_time_millis_testing: 32.479, usercpu_time_millis_training: 549.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12014.5453, mean_absolute_error: 0.1086, 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: 0.2461, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4779, scimark_benchmark: 1249.4179, usercpu_time_millis: 101.765, usercpu_time_millis_testing: 5.277, usercpu_time_millis_training: 96.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12009.5152, mean_absolute_error: 0.1088, 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: 0.2466, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4779, scimark_benchmark: 1281.8417, usercpu_time_millis: 486.977, usercpu_time_millis_testing: 28.617, usercpu_time_millis_training: 458.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9433, kappa: 0.8694, kb_relative_information_score: 12467.9064, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9445, prior_entropy: 0.9135, recall: 0.9445, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4461, scimark_benchmark: 1239.2072, usercpu_time_millis: 598.102, usercpu_time_millis_testing: 26.613, usercpu_time_millis_training: 571.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9407, kappa: 0.8633, kb_relative_information_score: 12206.6757, mean_absolute_error: 0.103, 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: 0.2335, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4569, scimark_benchmark: 1251.5088, usercpu_time_millis: 361.655, usercpu_time_millis_testing: 21.546, usercpu_time_millis_training: 340.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9382, kappa: 0.8573, kb_relative_information_score: 12268.6071, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9442, predictive_accuracy: 0.9399, prior_entropy: 0.9135, recall: 0.9399, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4638, scimark_benchmark: 1250.5274, usercpu_time_millis: 256.847, usercpu_time_millis_testing: 11.776, usercpu_time_millis_training: 245.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12043.0814, mean_absolute_error: 0.1068, 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: 0.2421, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4838, scimark_benchmark: 1271.1751, usercpu_time_millis: 360.305, usercpu_time_millis_testing: 19.16, usercpu_time_millis_training: 341.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9496, kappa: 0.8842, kb_relative_information_score: 12816.6363, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4166, scimark_benchmark: 1248.3023, usercpu_time_millis: 430.25, usercpu_time_millis_testing: 19.902, usercpu_time_millis_training: 410.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9435, kappa: 0.87, kb_relative_information_score: 12474.573, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9474, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4437, scimark_benchmark: 1265.7637, usercpu_time_millis: 483.085, usercpu_time_millis_testing: 28.682, usercpu_time_millis_training: 454.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9438, kappa: 0.8706, kb_relative_information_score: 12507.1714, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9477, predictive_accuracy: 0.945, prior_entropy: 0.9135, recall: 0.945, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.444, scimark_benchmark: 1273.3006, usercpu_time_millis: 709.626, usercpu_time_millis_testing: 30.954, usercpu_time_millis_training: 678.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9375, kappa: 0.8557, kb_relative_information_score: 10190.7923, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9436, predictive_accuracy: 0.9392, prior_entropy: 0.9135, recall: 0.9392, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5122, scimark_benchmark: 1269.2648, usercpu_time_millis: 11.467, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 10.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9454, kappa: 0.8745, kb_relative_information_score: 12677.01, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9489, predictive_accuracy: 0.9465, prior_entropy: 0.9135, recall: 0.9465, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4304, scimark_benchmark: 1248.3566, usercpu_time_millis: 69.179, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 66.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9462, kappa: 0.8762, kb_relative_information_score: 12657.926, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9473, prior_entropy: 0.9135, recall: 0.9473, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4281, scimark_benchmark: 1273.3079, usercpu_time_millis: 766.85, usercpu_time_millis_testing: 37.455, usercpu_time_millis_training: 729.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9465, kappa: 0.877, kb_relative_information_score: 12701.2991, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9499, predictive_accuracy: 0.9476, prior_entropy: 0.9135, recall: 0.9476, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4271, scimark_benchmark: 1241.2587, usercpu_time_millis: 1137.703, usercpu_time_millis_testing: 38.77, usercpu_time_millis_training: 1098.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.94, kappa: 0.8614, kb_relative_information_score: 12277.0725, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9457, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4607, scimark_benchmark: 1245.9294, usercpu_time_millis: 498.026, usercpu_time_millis_testing: 20.271, usercpu_time_millis_training: 477.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9454, kappa: 0.8742, kb_relative_information_score: 12603.787, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.9465, prior_entropy: 0.9135, recall: 0.9465, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4339, scimark_benchmark: 1252.1531, usercpu_time_millis: 44.252, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 42.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9458, kappa: 0.8752, kb_relative_information_score: 12608.7438, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9494, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4325, scimark_benchmark: 1271.7749, usercpu_time_millis: 606.509, usercpu_time_millis_testing: 33.891, usercpu_time_millis_training: 572.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9476, kappa: 0.8796, kb_relative_information_score: 12773.324, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9507, predictive_accuracy: 0.9486, prior_entropy: 0.9135, recall: 0.9486, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4225, scimark_benchmark: 1265.0404, usercpu_time_millis: 364.057, usercpu_time_millis_testing: 10.472, usercpu_time_millis_training: 353.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.932, kappa: 0.8426, kb_relative_information_score: 8372.4129, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6035, scimark_benchmark: 1259.5264, usercpu_time_millis: 69.984, usercpu_time_millis_testing: 6.687, usercpu_time_millis_training: 63.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9506, kappa: 0.8866, kb_relative_information_score: 12850.9698, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9533, predictive_accuracy: 0.9515, prior_entropy: 0.9135, recall: 0.9515, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4137, scimark_benchmark: 1237.6956, usercpu_time_millis: 62.064, usercpu_time_millis_testing: 3.931, usercpu_time_millis_training: 58.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9507, kappa: 0.8867, kb_relative_information_score: 12847.0735, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9534, predictive_accuracy: 0.9516, prior_entropy: 0.9135, recall: 0.9516, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4129, scimark_benchmark: 1253.4111, usercpu_time_millis: 643.205, usercpu_time_millis_testing: 38.216, usercpu_time_millis_training: 604.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9374, kappa: 0.8554, kb_relative_information_score: 10315.1535, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9436, predictive_accuracy: 0.9391, prior_entropy: 0.9135, recall: 0.9391, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5056, scimark_benchmark: 1233.9457, usercpu_time_millis: 291.743, usercpu_time_millis_testing: 18.839, usercpu_time_millis_training: 272.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.932, kappa: 0.8428, kb_relative_information_score: 11735.7166, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9397, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.493, scimark_benchmark: 1246.5391, usercpu_time_millis: 49.449, usercpu_time_millis_testing: 3.632, usercpu_time_millis_training: 45.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9473, kappa: 0.8788, kb_relative_information_score: 12745.3467, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9501, predictive_accuracy: 0.9482, prior_entropy: 0.9135, recall: 0.9482, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4293, scimark_benchmark: 1236.7104, usercpu_time_millis: 141.626, usercpu_time_millis_testing: 3.716, usercpu_time_millis_training: 137.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9538, kappa: 0.8941, kb_relative_information_score: 13038.4823, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9558, predictive_accuracy: 0.9545, prior_entropy: 0.9135, recall: 0.9545, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4019, scimark_benchmark: 1263.9446, usercpu_time_millis: 1125.67, usercpu_time_millis_testing: 39.4, usercpu_time_millis_training: 1086.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9525, kappa: 0.8911, kb_relative_information_score: 12994.2711, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9545, predictive_accuracy: 0.9532, prior_entropy: 0.9135, recall: 0.9532, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4059, scimark_benchmark: 1260.7805, usercpu_time_millis: 65.604, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 63.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9407, kappa: 0.8632, kb_relative_information_score: 12326.5966, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.946, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4593, scimark_benchmark: 1253.5528, usercpu_time_millis: 609.979, usercpu_time_millis_testing: 25.239, usercpu_time_millis_training: 584.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9496, kappa: 0.884, kb_relative_information_score: 12786.5821, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4162, scimark_benchmark: 1254.8006, usercpu_time_millis: 1002.149, usercpu_time_millis_testing: 48.961, usercpu_time_millis_training: 953.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9432, kappa: 0.8693, kb_relative_information_score: 12445.6341, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9474, predictive_accuracy: 0.9445, prior_entropy: 0.9135, recall: 0.9445, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4413, scimark_benchmark: 1238.2047, usercpu_time_millis: 141.118, usercpu_time_millis_testing: 8.111, usercpu_time_millis_training: 133.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9509, kappa: 0.8873, kb_relative_information_score: 12897.8377, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9535, predictive_accuracy: 0.9518, prior_entropy: 0.9135, recall: 0.9518, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4094, scimark_benchmark: 1265.7368, usercpu_time_millis: 346.746, usercpu_time_millis_testing: 20.63, usercpu_time_millis_training: 326.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9336, kappa: 0.8465, kb_relative_information_score: 10013.6973, mean_absolute_error: 0.1821, 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: 0.4128, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5229, scimark_benchmark: 1239.9541, usercpu_time_millis: 128.661, usercpu_time_millis_testing: 9.826, usercpu_time_millis_training: 118.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9441, kappa: 0.8714, kb_relative_information_score: 12516.3801, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4414, scimark_benchmark: 1242.3706, usercpu_time_millis: 504.802, usercpu_time_millis_testing: 24.98, usercpu_time_millis_training: 479.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9447, kappa: 0.8727, kb_relative_information_score: 12549.019, mean_absolute_error: 0.091, 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: 0.2061, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.444, scimark_benchmark: 1240.3099, usercpu_time_millis: 8.215, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 7.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9412, kappa: 0.8644, kb_relative_information_score: 10526.9944, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4894, scimark_benchmark: 1250.1616, usercpu_time_millis: 291.352, usercpu_time_millis_testing: 21.076, usercpu_time_millis_training: 270.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9498, kappa: 0.8849, kb_relative_information_score: 12962.2692, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9514, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4215, scimark_benchmark: 1213.9755, usercpu_time_millis: 1548.325, usercpu_time_millis_testing: 35.184, usercpu_time_millis_training: 1513.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9469, kappa: 0.8777, kb_relative_information_score: 12623.3297, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9502, predictive_accuracy: 0.9479, prior_entropy: 0.9135, recall: 0.9479, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4281, scimark_benchmark: 1260.1216, usercpu_time_millis: 93.587, usercpu_time_millis_testing: 5.723, usercpu_time_millis_training: 87.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 9994.9613, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.525, scimark_benchmark: 1237.6062, usercpu_time_millis: 313.651, usercpu_time_millis_testing: 28.248, usercpu_time_millis_training: 285.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9435, kappa: 0.8698, kb_relative_information_score: 12412.7581, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9478, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4436, scimark_benchmark: 1262.7054, usercpu_time_millis: 553.542, usercpu_time_millis_testing: 28.226, usercpu_time_millis_training: 525.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9511, kappa: 0.8877, kb_relative_information_score: 12889.6863, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9537, predictive_accuracy: 0.9519, prior_entropy: 0.9135, recall: 0.9519, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4112, scimark_benchmark: 1252.0093, usercpu_time_millis: 277.05, usercpu_time_millis_testing: 11.691, usercpu_time_millis_training: 265.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9347, kappa: 0.8491, kb_relative_information_score: 12223.4152, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9415, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4706, scimark_benchmark: 1244.0754, usercpu_time_millis: 354.738, usercpu_time_millis_testing: 13.156, usercpu_time_millis_training: 341.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9487, kappa: 0.882, kb_relative_information_score: 12785.1, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9517, predictive_accuracy: 0.9496, prior_entropy: 0.9135, recall: 0.9496, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4182, scimark_benchmark: 1267.8111, usercpu_time_millis: 752.297, usercpu_time_millis_testing: 36.089, usercpu_time_millis_training: 716.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12456.5182, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4406, scimark_benchmark: 1234.5013, usercpu_time_millis: 95.678, usercpu_time_millis_testing: 5.793, usercpu_time_millis_training: 89.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9485, kappa: 0.8818, kb_relative_information_score: 12861.1953, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9493, prior_entropy: 0.9135, recall: 0.9493, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4251, scimark_benchmark: 1238.0339, usercpu_time_millis: 1021.532, usercpu_time_millis_testing: 24.092, usercpu_time_millis_training: 997.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9321, kappa: 0.843, kb_relative_information_score: 9676.7351, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9397, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5432, scimark_benchmark: 1235.8245, usercpu_time_millis: 18.496, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 16.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12183.0097, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4725, scimark_benchmark: 1228.0073, usercpu_time_millis: 314.853, usercpu_time_millis_testing: 12.058, usercpu_time_millis_training: 302.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9527, kappa: 0.8916, kb_relative_information_score: 12976.8267, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.955, predictive_accuracy: 0.9535, prior_entropy: 0.9135, recall: 0.9535, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4052, scimark_benchmark: 1229.98, usercpu_time_millis: 662.45, usercpu_time_millis_testing: 23.125, usercpu_time_millis_training: 639.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9468, kappa: 0.8777, kb_relative_information_score: 12779.8854, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9497, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4248, scimark_benchmark: 1258.6606, usercpu_time_millis: 1517.284, usercpu_time_millis_testing: 42.625, usercpu_time_millis_training: 1474.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9425, kappa: 0.8675, kb_relative_information_score: 12293.5708, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4507, scimark_benchmark: 1244.0012, usercpu_time_millis: 327.074, usercpu_time_millis_testing: 25.846, usercpu_time_millis_training: 301.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9542, kappa: 0.8951, kb_relative_information_score: 13134.0429, mean_absolute_error: 0.0725, 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: 0.1642, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3983, scimark_benchmark: 1223.0388, usercpu_time_millis: 774.899, usercpu_time_millis_testing: 30.69, usercpu_time_millis_training: 744.209,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9511, kappa: 0.8879, kb_relative_information_score: 12967.2665, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9529, predictive_accuracy: 0.9518, prior_entropy: 0.9135, recall: 0.9518, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4168, scimark_benchmark: 1272.1067, usercpu_time_millis: 14.603, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 13.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9405, kappa: 0.8628, kb_relative_information_score: 10467.6165, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.946, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4953, scimark_benchmark: 1248.0605, usercpu_time_millis: 54.869, usercpu_time_millis_testing: 3.979, usercpu_time_millis_training: 50.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9405, kappa: 0.8626, kb_relative_information_score: 10476.2708, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4941, scimark_benchmark: 1275.6044, usercpu_time_millis: 342.549, usercpu_time_millis_testing: 24.59, usercpu_time_millis_training: 317.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9329, kappa: 0.8449, kb_relative_information_score: 9708.6483, mean_absolute_error: 0.1917, 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: 0.4345, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5387, scimark_benchmark: 1272.6524, usercpu_time_millis: 247.863, usercpu_time_millis_testing: 20.353, usercpu_time_millis_training: 227.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9353, kappa: 0.8505, kb_relative_information_score: 10244.22, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.942, predictive_accuracy: 0.9372, prior_entropy: 0.9135, recall: 0.9372, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5103, scimark_benchmark: 1262.4075, usercpu_time_millis: 263.152, usercpu_time_millis_testing: 18.5, usercpu_time_millis_training: 244.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9526, kappa: 0.8912, kb_relative_information_score: 12967.7874, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9549, predictive_accuracy: 0.9534, prior_entropy: 0.9135, recall: 0.9534, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4056, scimark_benchmark: 1277.6277, usercpu_time_millis: 457.57, usercpu_time_millis_testing: 17.109, usercpu_time_millis_training: 440.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9382, kappa: 0.8573, kb_relative_information_score: 12241.3318, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9439, predictive_accuracy: 0.9398, prior_entropy: 0.9135, recall: 0.9398, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4649, scimark_benchmark: 1269.3676, usercpu_time_millis: 294.502, usercpu_time_millis_testing: 17.237, usercpu_time_millis_training: 277.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9467, kappa: 0.8774, kb_relative_information_score: 12671.8137, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4257, scimark_benchmark: 1269.4425, usercpu_time_millis: 825.887, usercpu_time_millis_testing: 40.444, usercpu_time_millis_training: 785.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.935, kappa: 0.8498, kb_relative_information_score: 10208.8674, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.942, predictive_accuracy: 0.9369, prior_entropy: 0.9135, recall: 0.9369, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5123, scimark_benchmark: 1253.6989, usercpu_time_millis: 378.542, usercpu_time_millis_testing: 28.457, usercpu_time_millis_training: 350.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9525, kappa: 0.891, kb_relative_information_score: 12989.1738, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9546, predictive_accuracy: 0.9532, prior_entropy: 0.9135, recall: 0.9532, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4063, scimark_benchmark: 1260.5406, usercpu_time_millis: 1909.832, usercpu_time_millis_testing: 46.308, usercpu_time_millis_training: 1863.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 12043.3059, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4841, scimark_benchmark: 1246.0872, usercpu_time_millis: 19.577, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 18.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9377, kappa: 0.8562, kb_relative_information_score: 10328.6675, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9438, predictive_accuracy: 0.9394, prior_entropy: 0.9135, recall: 0.9394, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5047, scimark_benchmark: 1247.01, usercpu_time_millis: 369.683, usercpu_time_millis_testing: 28.009, usercpu_time_millis_training: 341.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 11766.6958, mean_absolute_error: 0.117, 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: 0.2651, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5017, scimark_benchmark: 1256.1586, usercpu_time_millis: 300.537, usercpu_time_millis_testing: 21.136, usercpu_time_millis_training: 279.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9319, kappa: 0.8425, kb_relative_information_score: 9411.0839, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.934, prior_entropy: 0.9135, recall: 0.934, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5541, scimark_benchmark: 1272.4254, usercpu_time_millis: 163.238, usercpu_time_millis_testing: 14.851, usercpu_time_millis_training: 148.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 12143.9298, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4699, scimark_benchmark: 1275.1143, usercpu_time_millis: 280.836, usercpu_time_millis_testing: 17.09, usercpu_time_millis_training: 263.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9459, kappa: 0.8755, kb_relative_information_score: 12657.1609, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9494, predictive_accuracy: 0.947, prior_entropy: 0.9135, recall: 0.947, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4303, scimark_benchmark: 1275.4068, usercpu_time_millis: 698.283, usercpu_time_millis_testing: 34.073, usercpu_time_millis_training: 664.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9424, kappa: 0.8673, kb_relative_information_score: 12411.1503, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4506, scimark_benchmark: 1251.888, usercpu_time_millis: 625.055, usercpu_time_millis_testing: 25.926, usercpu_time_millis_training: 599.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9473, kappa: 0.8788, kb_relative_information_score: 12752.5599, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9504, predictive_accuracy: 0.9483, prior_entropy: 0.9135, recall: 0.9483, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4257, scimark_benchmark: 1273.9667, usercpu_time_millis: 120.252, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 117.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9516, kappa: 0.8889, kb_relative_information_score: 12975.0317, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9534, predictive_accuracy: 0.9523, prior_entropy: 0.9135, recall: 0.9523, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4116, scimark_benchmark: 1271.6942, usercpu_time_millis: 1300.405, usercpu_time_millis_testing: 36.709, usercpu_time_millis_training: 1263.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.946, kappa: 0.8758, kb_relative_information_score: 12639.5311, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.947, prior_entropy: 0.9135, recall: 0.947, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4401, scimark_benchmark: 1249.809, usercpu_time_millis: 132.207, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 128.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9459, kappa: 0.8754, kb_relative_information_score: 12674.8799, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9493, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4312, scimark_benchmark: 1243.5978, usercpu_time_millis: 605.848, usercpu_time_millis_testing: 17.841, usercpu_time_millis_training: 588.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9519, kappa: 0.8895, kb_relative_information_score: 12932.3056, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9542, predictive_accuracy: 0.9527, prior_entropy: 0.9135, recall: 0.9527, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4077, scimark_benchmark: 1270.4493, usercpu_time_millis: 184.666, usercpu_time_millis_testing: 8.011, usercpu_time_millis_training: 176.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9513, kappa: 0.8883, kb_relative_information_score: 12917.9094, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9537, predictive_accuracy: 0.9521, prior_entropy: 0.9135, recall: 0.9521, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4103, scimark_benchmark: 1265.1586, usercpu_time_millis: 51.539, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 49.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9486, kappa: 0.882, kb_relative_information_score: 12813.5863, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9515, predictive_accuracy: 0.9496, prior_entropy: 0.9135, recall: 0.9496, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4188, scimark_benchmark: 1252.2848, usercpu_time_millis: 1495.562, usercpu_time_millis_testing: 42.927, usercpu_time_millis_training: 1452.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9403, kappa: 0.8622, kb_relative_information_score: 10474.576, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9457, predictive_accuracy: 0.9418, prior_entropy: 0.9135, recall: 0.9418, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4946, scimark_benchmark: 1247.7621, usercpu_time_millis: 182.485, usercpu_time_millis_testing: 13.394, usercpu_time_millis_training: 169.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.936, kappa: 0.852, kb_relative_information_score: 12189.1937, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9424, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4689, scimark_benchmark: 1241.0046, usercpu_time_millis: 83.459, usercpu_time_millis_testing: 6.677, usercpu_time_millis_training: 76.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9447, kappa: 0.8727, kb_relative_information_score: 12600.6191, mean_absolute_error: 0.0898, 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: 0.2035, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4349, scimark_benchmark: 1268.1231, usercpu_time_millis: 54.842, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 52.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.953, kappa: 0.8925, kb_relative_information_score: 13169.9702, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9541, predictive_accuracy: 0.9536, prior_entropy: 0.9135, recall: 0.9536, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4034, scimark_benchmark: 1236.3486, usercpu_time_millis: 754.183, usercpu_time_millis_testing: 20.535, usercpu_time_millis_training: 733.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9443, kappa: 0.8717, kb_relative_information_score: 12530.3213, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4394, scimark_benchmark: 1254.6618, usercpu_time_millis: 445.384, usercpu_time_millis_testing: 25.078, usercpu_time_millis_training: 420.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9512, kappa: 0.8879, kb_relative_information_score: 12931.2476, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9537, predictive_accuracy: 0.952, prior_entropy: 0.9135, recall: 0.952, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4086, scimark_benchmark: 1227.2122, usercpu_time_millis: 245.945, usercpu_time_millis_testing: 12.207, usercpu_time_millis_training: 233.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.936, kappa: 0.8521, kb_relative_information_score: 10229.2516, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9426, predictive_accuracy: 0.9378, prior_entropy: 0.9135, recall: 0.9378, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.5107, scimark_benchmark: 1260.1963, usercpu_time_millis: 271.295, usercpu_time_millis_testing: 20.846, usercpu_time_millis_training: 250.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.952, kappa: 0.8899, kb_relative_information_score: 12959.9591, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9543, predictive_accuracy: 0.9528, prior_entropy: 0.9135, recall: 0.9528, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4076, scimark_benchmark: 1253.7379, usercpu_time_millis: 1107.49, usercpu_time_millis_testing: 42.777, usercpu_time_millis_training: 1064.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9319, kappa: 0.8425, kb_relative_information_score: 10958.9411, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.934, prior_entropy: 0.9135, recall: 0.934, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.507, scimark_benchmark: 1262.1854, usercpu_time_millis: 188.973, usercpu_time_millis_testing: 16.325, usercpu_time_millis_training: 172.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9329, kappa: 0.8448, kb_relative_information_score: 9978.8616, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.525, scimark_benchmark: 1256.2025, usercpu_time_millis: 232.779, usercpu_time_millis_testing: 20.761, usercpu_time_millis_training: 212.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12104.9898, mean_absolute_error: 0.105, 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: 0.2379, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4782, scimark_benchmark: 1256.8727, usercpu_time_millis: 402.944, usercpu_time_millis_testing: 19.972, usercpu_time_millis_training: 382.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9405, kappa: 0.8627, kb_relative_information_score: 12178.1463, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4585, scimark_benchmark: 1264.5402, usercpu_time_millis: 68.877, usercpu_time_millis_testing: 3.641, usercpu_time_millis_training: 65.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9413, kappa: 0.8645, kb_relative_information_score: 12390.1501, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9463, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4555, scimark_benchmark: 1261.9497, usercpu_time_millis: 613.514, usercpu_time_millis_testing: 18.759, usercpu_time_millis_training: 594.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12059.383, mean_absolute_error: 0.1063, 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: 0.241, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4821, scimark_benchmark: 1234.6766, usercpu_time_millis: 312.464, usercpu_time_millis_testing: 17.602, usercpu_time_millis_training: 294.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9328, kappa: 0.8445, kb_relative_information_score: 11845.3155, mean_absolute_error: 0.1155, 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: 0.2617, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4746, scimark_benchmark: 1257.5391, usercpu_time_millis: 444.049, usercpu_time_millis_testing: 23.866, usercpu_time_millis_training: 420.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 9352.0714, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5566, scimark_benchmark: 1262.5949, usercpu_time_millis: 158.275, usercpu_time_millis_testing: 12.799, usercpu_time_millis_training: 145.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9327, kappa: 0.8443, kb_relative_information_score: 12143.2081, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4748, scimark_benchmark: 1244.2257, usercpu_time_millis: 348.713, usercpu_time_millis_testing: 17.2, usercpu_time_millis_training: 331.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9544, kappa: 0.8954, kb_relative_information_score: 13129.3235, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9559, predictive_accuracy: 0.955, prior_entropy: 0.9135, recall: 0.955, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.398, scimark_benchmark: 1236.7941, usercpu_time_millis: 508.944, usercpu_time_millis_testing: 21.384, usercpu_time_millis_training: 487.56,

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