Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 232 Supervised Classification anneal 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9044, kappa: 0.7884, kb_relative_information_score: 240.5445, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.911, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5781, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.898, kappa: 0.7731, kb_relative_information_score: 230.8031, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8922, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5582, scimark_benchmark: 1312.0581, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 1345.7204, usercpu_time_millis: 940, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8787, kappa: 0.7191, kb_relative_information_score: 231.4291, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8771, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.6173, scimark_benchmark: 1340.1351, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9234, kappa: 0.8273, kb_relative_information_score: 261.8501, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9256, predictive_accuracy: 0.9223, prior_entropy: 1.2149, recall: 0.9223, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5947, scimark_benchmark: 892.0148, usercpu_time_millis: 810, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9887, kappa: 0.9767, kb_relative_information_score: 309.2069, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1808, scimark_benchmark: 1371.9645, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8797, kappa: 0.7242, kb_relative_information_score: 219.4595, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8851, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6692, scimark_benchmark: 950.6776, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 926.6704, usercpu_time_millis: 1210, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5617, kappa: 0.1681, kb_relative_information_score: -55.085, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.7085, predictive_accuracy: 0.4797, prior_entropy: 1.2149, recall: 0.4797, relative_absolute_error: 1.2298, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.5372, scimark_benchmark: 1341.4232, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7098, kappa: 0.4202, kb_relative_information_score: 112.7607, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6966, predictive_accuracy: 0.7466, prior_entropy: 1.2149, recall: 0.7466, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.8557, scimark_benchmark: 1334.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8065, kappa: 0.5671, kb_relative_information_score: 182.1161, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8629, predictive_accuracy: 0.8514, prior_entropy: 1.2149, recall: 0.8514, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6795, scimark_benchmark: 1320.9026, usercpu_time_millis: 390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9887, kappa: 0.9767, kb_relative_information_score: 315.4727, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0339, root_relative_squared_error: 0.1252, scimark_benchmark: 1349.9917, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9044, kappa: 0.7884, kb_relative_information_score: 240.5445, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.911, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5781, scimark_benchmark: 1318.5627, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1347.388, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8782, kappa: 0.7272, kb_relative_information_score: 237.451, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.872, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5865, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9445, kappa: 0.8733, kb_relative_information_score: 275.6409, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9447, predictive_accuracy: 0.9459, prior_entropy: 1.2149, recall: 0.9459, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4955, scimark_benchmark: 898.1296, usercpu_time_millis: 860, usercpu_time_millis_testing: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 103.1149, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8423, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8226, kappa: 0.6159, kb_relative_information_score: 177.067, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8724, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6952, scimark_benchmark: 1334.4761, usercpu_time_millis: 1390, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8226, kappa: 0.6159, kb_relative_information_score: 177.561, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8724, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6926, scimark_benchmark: 1360.2771, usercpu_time_millis: 720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.863, kappa: 0.6783, kb_relative_information_score: 191.374, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8806, predictive_accuracy: 0.8818, prior_entropy: 1.2149, recall: 0.8818, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.6481, scimark_benchmark: 1321.5205, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 315.0323, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.035, root_relative_squared_error: 0.1291, scimark_benchmark: 1330.6247, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 315.2758, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9967, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.1301, scimark_benchmark: 1332.576, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8962, kappa: 0.7731, kb_relative_information_score: 235.6499, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8907, predictive_accuracy: 0.902, prior_entropy: 1.2149, recall: 0.902, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.5412, scimark_benchmark: 1270.2428, usercpu_time_millis: 1040, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8962, kappa: 0.7731, kb_relative_information_score: 233.4045, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8907, predictive_accuracy: 0.902, prior_entropy: 1.2149, recall: 0.902, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.5485, scimark_benchmark: 1337.6765, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.898, kappa: 0.7731, kb_relative_information_score: 230.8031, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8922, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5582, scimark_benchmark: 1337.6765, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 1316.8289, usercpu_time_millis: 730, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 996.6105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8797, kappa: 0.7242, kb_relative_information_score: 219.4595, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8851, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6692, scimark_benchmark: 1342.7245, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7276, kappa: 0.5239, kb_relative_information_score: 134.1818, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8532, predictive_accuracy: 0.7061, prior_entropy: 1.2149, recall: 0.7061, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9743, scimark_benchmark: 1297.6356, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7275, kappa: 0.524, kb_relative_information_score: 133.7298, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8531, predictive_accuracy: 0.7061, prior_entropy: 1.2149, recall: 0.7061, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.9758, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.7734, kappa: 0.4735, kb_relative_information_score: 87.8139, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.7543, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.8236, scimark_benchmark: 1333.5799, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 142.7209, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.9103, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9629, kappa: 0.9292, kb_relative_information_score: 282.7411, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.957, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3716, scimark_benchmark: 1054.3694, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6202, kb_relative_information_score: 3.7519, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.5374, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.0012, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8782, kappa: 0.7272, kb_relative_information_score: 237.451, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.872, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5865, scimark_benchmark: 977.6382, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 2.008, build_memory: 705407544, f_measure: 0.9006, kappa: 0.7788, kb_relative_information_score: 240.3629, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9021, predictive_accuracy: 0.9088, prior_entropy: 1.2149, recall: 0.9088, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.5508, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 1.626, build_memory: 787971520, f_measure: 0.9006, kappa: 0.7788, kb_relative_information_score: 240.3629, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9021, predictive_accuracy: 0.9088, prior_entropy: 1.2149, recall: 0.9088, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.5508, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 1.593, build_memory: 2104345632, f_measure: 0.9006, kappa: 0.7788, kb_relative_information_score: 240.3629, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9021, predictive_accuracy: 0.9088, prior_entropy: 1.2149, recall: 0.9088, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.5508, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 1.672, build_memory: 97206888, f_measure: 0.9006, kappa: 0.7788, kb_relative_information_score: 240.3629, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9021, predictive_accuracy: 0.9088, prior_entropy: 1.2149, recall: 0.9088, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.5508, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, build_cpu_time: 1.137, build_memory: 253032360, f_measure: 0.9006, kappa: 0.7788, kb_relative_information_score: 236.6694, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9021, predictive_accuracy: 0.9088, prior_entropy: 1.2149, recall: 0.9088, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5574, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 0.18, build_memory: 807415208, f_measure: 0.9384, kappa: 0.8589, kb_relative_information_score: 276.2449, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9382, predictive_accuracy: 0.9392, prior_entropy: 1.2149, recall: 0.9392, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.4766, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.153, build_memory: 14662984, f_measure: 0.9491, kappa: 0.8841, kb_relative_information_score: 282.8973, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.4419, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.121, build_memory: 479641816, f_measure: 0.9491, kappa: 0.8841, kb_relative_information_score: 282.8973, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.4419, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.134, build_memory: 114586976, f_measure: 0.9491, kappa: 0.8841, kb_relative_information_score: 282.8973, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.4419, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.144, build_memory: 509868976, f_measure: 0.9491, kappa: 0.8841, kb_relative_information_score: 282.8973, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.4419, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, build_cpu_time: 0.76, build_memory: 1349103400, f_measure: 0.9559, kappa: 0.8996, kb_relative_information_score: 285.8393, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.4402, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.505, build_memory: 2676019040, f_measure: 0.9559, kappa: 0.8996, kb_relative_information_score: 283.1872, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4454, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 0.206, build_memory: 2197111000, f_measure: 0.9462, kappa: 0.8782, kb_relative_information_score: 280.9117, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9472, predictive_accuracy: 0.9459, prior_entropy: 1.2149, recall: 0.9459, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4518, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.155, build_memory: 2031594184, f_measure: 0.9495, kappa: 0.8853, kb_relative_information_score: 280.2936, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.4562, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 0.059, build_memory: 1190413872, f_measure: 0.9495, kappa: 0.8853, kb_relative_information_score: 279.0501, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4695, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, build_cpu_time: 3.311, build_memory: 2017546544, f_measure: 0.952, kappa: 0.8902, kb_relative_information_score: 284.2384, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9531, predictive_accuracy: 0.9527, prior_entropy: 1.2149, recall: 0.9527, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.45, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 4.841, build_memory: 1057981832, f_measure: 0.9559, kappa: 0.8996, kb_relative_information_score: 285.4643, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.119, root_relative_squared_error: 0.4391, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 5.096, build_memory: 2797489392, f_measure: 0.9559, kappa: 0.8996, kb_relative_information_score: 285.6049, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4421, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 12.034, build_memory: 1715806512, f_measure: 0.9553, kappa: 0.8975, kb_relative_information_score: 288.9231, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.4153, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 18.47, build_memory: 1169227664, f_measure: 0.9589, kappa: 0.9059, kb_relative_information_score: 284.35, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9595, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.4276, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 0.03, build_memory: 1228454856, f_measure: 0.7794, kappa: 0.4724, kb_relative_information_score: 111.2108, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8172, predictive_accuracy: 0.8108, prior_entropy: 1.2149, recall: 0.8108, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.8173, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 0.016, build_memory: 1600592168, f_measure: 0.7794, kappa: 0.4724, kb_relative_information_score: 111.2108, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8172, predictive_accuracy: 0.8108, prior_entropy: 1.2149, recall: 0.8108, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.8173, scimark_benchmark: 925.481,

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

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From your own software

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

OpenML APIs