OpenML
Supervised Classification on autoPrice

Supervised Classification on autoPrice

Task 4327 Supervised Classification autoPrice 205 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

205 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1324.6608, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 1343.254, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9609, kappa: 0.9127, kb_relative_information_score: 1404.933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4009, scimark_benchmark: 1344.4042, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9663, kappa: 0.9243, kb_relative_information_score: 1464.9787, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9531, kappa: 0.8948, kb_relative_information_score: 1324.1433, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9264, recall: 0.9535, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4025, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9552, kappa: 0.8989, kb_relative_information_score: 1425.4399, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9581, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3993, scimark_benchmark: 1341.2425, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.2744, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.316, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9531, kappa: 0.8948, kb_relative_information_score: 1324.1433, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9264, recall: 0.9535, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4025, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.967, kappa: 0.9259, kb_relative_information_score: 1462.3659, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9679, predictive_accuracy: 0.9673, prior_entropy: 0.9264, recall: 0.9673, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3417, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.2744, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.316, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9589, kappa: 0.9079, kb_relative_information_score: 1331.3869, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9264, recall: 0.9591, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3785, scimark_benchmark: 916.6405, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9594, kappa: 0.909, kb_relative_information_score: 1329.753, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.96, predictive_accuracy: 0.9597, prior_entropy: 0.9264, recall: 0.9597, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3389, scimark_benchmark: 1351.6526, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9581, kappa: 0.906, kb_relative_information_score: 1332.8831, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9264, recall: 0.9585, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3365, scimark_benchmark: 1345.7582, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9583, kappa: 0.9065, kb_relative_information_score: 1329.9836, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9264, recall: 0.9585, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3828, scimark_benchmark: 1323.7742, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9663, kappa: 0.9243, kb_relative_information_score: 1464.9787, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9577, kappa: 0.9054, kb_relative_information_score: 1442.7598, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.9264, recall: 0.9579, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3695, scimark_benchmark: 1332.576, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9588, kappa: 0.9074, kb_relative_information_score: 1329.9482, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.9264, recall: 0.9591, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3366, scimark_benchmark: 1327.5791, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9697, kappa: 0.9324, kb_relative_information_score: 1474.2044, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9264, recall: 0.9698, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.971, kappa: 0.935, kb_relative_information_score: 1476.4861, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9264, recall: 0.9711, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3299, scimark_benchmark: 1352.2099, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 1151.3336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9621, kappa: 0.9153, kb_relative_information_score: 1444.8711, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.343, scimark_benchmark: 1346.2133, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.952, kappa: 0.8924, kb_relative_information_score: 1327.924, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9264, recall: 0.9522, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4523, scimark_benchmark: 996.6105, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9673, kappa: 0.927, kb_relative_information_score: 1466.6711, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9264, recall: 0.9673, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3728, scimark_benchmark: 833.3193, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9531, kappa: 0.8948, kb_relative_information_score: 1324.1433, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9264, recall: 0.9535, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4025, scimark_benchmark: 1307.3764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9525, kappa: 0.8935, kb_relative_information_score: 1412.4873, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 0.9264, recall: 0.9528, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4586, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.963, kappa: 0.9166, kb_relative_information_score: 203.3554, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9653, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8622, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9607, kappa: 0.9118, kb_relative_information_score: 1442.6951, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9613, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.417, scimark_benchmark: 1345.7204, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9443, kappa: 0.8753, kb_relative_information_score: 1296.7448, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.9264, recall: 0.9447, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4847, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.956, kappa: 0.9019, kb_relative_information_score: 1389.0951, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.436, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.2744, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.316, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9559, kappa: 0.9017, kb_relative_information_score: 1370.2536, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4378, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9729, kappa: 0.9393, kb_relative_information_score: 1474.1491, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9264, recall: 0.973, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3065, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 1354.7191, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9652, kappa: 0.9219, kb_relative_information_score: 1454.3095, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9657, predictive_accuracy: 0.9654, prior_entropy: 0.9264, recall: 0.9654, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3728, scimark_benchmark: 1227.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9652, kappa: 0.9219, kb_relative_information_score: 1454.3095, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9657, predictive_accuracy: 0.9654, prior_entropy: 0.9264, recall: 0.9654, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3728, scimark_benchmark: 1334.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9386, kappa: 0.8637, kb_relative_information_score: 1369.6806, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9391, predictive_accuracy: 0.9384, prior_entropy: 0.9264, recall: 0.9384, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4721, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9514, kappa: 0.8911, kb_relative_information_score: 1159.5296, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9514, predictive_accuracy: 0.9516, prior_entropy: 0.9264, recall: 0.9516, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.45, scimark_benchmark: 885.0921, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9132, kappa: 0.8065, kb_relative_information_score: 1268.4507, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9132, predictive_accuracy: 0.9132, prior_entropy: 0.9264, recall: 0.9132, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6158, scimark_benchmark: 1315.395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9381, kappa: 0.8605, kb_relative_information_score: 1245.5472, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9399, predictive_accuracy: 0.939, prior_entropy: 0.9264, recall: 0.939, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4575, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.964, kappa: 0.9195, kb_relative_information_score: 1438.471, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.9264, recall: 0.9642, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.368, scimark_benchmark: 1319.59, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9576, kappa: 0.905, kb_relative_information_score: 1342.5891, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9264, recall: 0.9579, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4287, scimark_benchmark: 1321.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9387, kappa: 0.8639, kb_relative_information_score: 1370.3038, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9393, predictive_accuracy: 0.9384, prior_entropy: 0.9264, recall: 0.9384, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4717, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9183, kb_relative_information_score: 1442.2329, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3579, scimark_benchmark: 1341.7207, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9386, kappa: 0.8638, kb_relative_information_score: 1363.4254, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9392, predictive_accuracy: 0.9384, prior_entropy: 0.9264, recall: 0.9384, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4808, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9663, kappa: 0.9242, kb_relative_information_score: 1463.6082, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3855, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8373, kappa: 0.6413, kb_relative_information_score: 980.2829, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.8402, predictive_accuracy: 0.8358, prior_entropy: 0.9264, recall: 0.8358, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8555, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9525, kappa: 0.8935, kb_relative_information_score: 1397.121, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 0.9264, recall: 0.9528, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4557, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9226, kappa: 0.8289, kb_relative_information_score: 736.6179, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9242, predictive_accuracy: 0.922, prior_entropy: 0.9264, recall: 0.922, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6421, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -3.1773, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9469, kappa: 0.8813, kb_relative_information_score: 1391.5741, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.9264, recall: 0.9472, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4853, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.9102, kb_relative_information_score: 1333.2289, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9608, predictive_accuracy: 0.9604, prior_entropy: 0.9264, recall: 0.9604, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3397, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.962, kappa: 0.9146, kb_relative_information_score: 1329.1366, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9626, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3485, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9698, kappa: 0.9325, kb_relative_information_score: 1472.6923, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9264, recall: 0.9698, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3596, scimark_benchmark: 1307.3269, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9563, kappa: 0.9021, kb_relative_information_score: 1327.6255, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9567, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3826, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9557, kappa: 0.9006, kb_relative_information_score: 1325.8008, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3887, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9492, kappa: 0.8872, kb_relative_information_score: 1365.4507, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9496, predictive_accuracy: 0.9491, prior_entropy: 0.9264, recall: 0.9491, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4649, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 1468.9175, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3732, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9691, kappa: 0.931, kb_relative_information_score: 1472.8914, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.9264, recall: 0.9692, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.365, scimark_benchmark: 915.9693, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9697, kappa: 0.9322, kb_relative_information_score: 1477.1471, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9264, recall: 0.9698, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9722, kappa: 0.9379, kb_relative_information_score: 1482.7171, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3411, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9722, kappa: 0.9377, kb_relative_information_score: 1482.1718, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3244, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9454, kappa: 0.8763, kb_relative_information_score: 1305.5991, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9501, predictive_accuracy: 0.9465, prior_entropy: 0.9264, recall: 0.9465, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4453, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9398, kappa: 0.8639, kb_relative_information_score: 1322.221, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.943, predictive_accuracy: 0.9409, prior_entropy: 0.9264, recall: 0.9409, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4532, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9659, kappa: 0.9236, kb_relative_information_score: 1461.2845, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 0.9264, recall: 0.966, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3891, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.5368, kappa: 0.0195, kb_relative_information_score: 350.5658, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7779, predictive_accuracy: 0.6654, prior_entropy: 0.9264, recall: 0.6654, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.2214, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9561, kappa: 0.9013, kb_relative_information_score: 1426.4293, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9573, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4399, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9646, kappa: 0.9208, kb_relative_information_score: 1340.2074, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9264, recall: 0.9648, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3836, scimark_benchmark: 906.4475, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8373, kappa: 0.6413, kb_relative_information_score: 980.2829, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.8402, predictive_accuracy: 0.8358, prior_entropy: 0.9264, recall: 0.8358, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8555, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9677, kappa: 0.9274, kb_relative_information_score: 1364.003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 918.0213, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1346.9602, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9616, kappa: 0.9142, kb_relative_information_score: 1445.0188, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.9264, recall: 0.9616, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4136, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9455, kappa: 0.8775, kb_relative_information_score: 1311.3739, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.9264, recall: 0.9459, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4782, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.959, kappa: 0.9083, kb_relative_information_score: 1363.0931, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.9264, recall: 0.9591, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4231, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.956, kappa: 0.9018, kb_relative_information_score: 1424.1057, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.6454, kappa: 0.2178, kb_relative_information_score: 550.4022, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.8031, predictive_accuracy: 0.7195, prior_entropy: 0.9264, recall: 0.7195, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.1183, scimark_benchmark: 1294.7826, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9565, kappa: 0.9029, kb_relative_information_score: 1409.428, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9565, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.207, root_relative_squared_error: 0.437, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9469, kappa: 0.8809, kb_relative_information_score: 1391.5741, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.9264, recall: 0.9472, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4853, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.954, kappa: 0.8973, kb_relative_information_score: 1417.1346, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.954, predictive_accuracy: 0.9541, prior_entropy: 0.9264, recall: 0.9541, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4524, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -3.1773, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9474, kappa: 0.8835, kb_relative_information_score: 1359.6666, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9482, predictive_accuracy: 0.9472, prior_entropy: 0.9264, recall: 0.9472, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4772, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0156, build_memory: 37513115.4667, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 931.1116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0112, build_memory: 1410881555.6679, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0082, build_memory: 1157661087.522, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0087, build_memory: 277191959.5572, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0097, build_memory: 471555676.8755, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0099, build_memory: 1007349477.4038, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0074, build_memory: 1468578754.9585, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.7099, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3155, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 0.326, build_memory: 52235877.1421, f_measure: 0.9634, kappa: 0.918, kb_relative_information_score: 1375.4947, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3667, scimark_benchmark: 946.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.1363, build_memory: 130027508.1208, f_measure: 0.9616, kappa: 0.9145, kb_relative_information_score: 1376.7817, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 0.9264, recall: 0.9616, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3589, scimark_benchmark: 946.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.129, build_memory: 462954912.5233, f_measure: 0.9616, kappa: 0.9145, kb_relative_information_score: 1376.7817, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 0.9264, recall: 0.9616, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3589, scimark_benchmark: 948.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.1177, build_memory: 2305349631.6579, f_measure: 0.9616, kappa: 0.9145, kb_relative_information_score: 1376.7817, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 0.9264, recall: 0.9616, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3589, scimark_benchmark: 948.1969,

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