OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 4541 Supervised Classification wine 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9729, kappa: 0.9434, kb_relative_information_score: 1647.083, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.301, scimark_benchmark: 1334.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9752, kappa: 0.9481, kb_relative_information_score: 1501.4059, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9757, predictive_accuracy: 0.9753, prior_entropy: 0.971, recall: 0.9753, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3282, scimark_benchmark: 1317.5348, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9367, kappa: 0.8673, kb_relative_information_score: 1509.9994, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9377, predictive_accuracy: 0.9371, prior_entropy: 0.971, recall: 0.9371, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4516, scimark_benchmark: 1299.3719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9224, kappa: 0.8373, kb_relative_information_score: 1358.26, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9238, predictive_accuracy: 0.923, prior_entropy: 0.971, recall: 0.923, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4791, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9826, kappa: 0.9636, kb_relative_information_score: 1580.5105, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 0.971, recall: 0.9826, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2759, scimark_benchmark: 1303.5632, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9752, kappa: 0.9481, kb_relative_information_score: 1501.4059, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9757, predictive_accuracy: 0.9753, prior_entropy: 0.971, recall: 0.9753, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3282, scimark_benchmark: 1336.4564, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9177, kappa: 0.8279, kb_relative_information_score: 1443.1614, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9178, predictive_accuracy: 0.918, prior_entropy: 0.971, recall: 0.918, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5632, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9616, kappa: 0.9197, kb_relative_information_score: 1553.3609, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 0.971, recall: 0.9618, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.365, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9729, kappa: 0.9434, kb_relative_information_score: 1647.083, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.301, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5255, kappa: 0.1032, kb_relative_information_score: 404.7158, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.7733, predictive_accuracy: 0.636, prior_entropy: 0.971, recall: 0.636, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6034, root_relative_squared_error: 1.2322, scimark_benchmark: 1324.7353, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5255, kappa: 0.1032, kb_relative_information_score: 404.7158, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.7733, predictive_accuracy: 0.636, prior_entropy: 0.971, recall: 0.636, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6034, root_relative_squared_error: 1.2322, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9729, kappa: 0.9434, kb_relative_information_score: 1647.083, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.301, scimark_benchmark: 1344.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9177, kappa: 0.8279, kb_relative_information_score: 1443.1614, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9178, predictive_accuracy: 0.918, prior_entropy: 0.971, recall: 0.918, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5632, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9803, kappa: 0.9587, kb_relative_information_score: 1680.68, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9809, predictive_accuracy: 0.9803, prior_entropy: 0.971, recall: 0.9803, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2469, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9177, kappa: 0.8279, kb_relative_information_score: 1443.1614, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9178, predictive_accuracy: 0.918, prior_entropy: 0.971, recall: 0.918, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5632, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9781, kappa: 0.9543, kb_relative_information_score: 1679.3265, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.971, recall: 0.9781, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2636, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9865, kappa: 0.9717, kb_relative_information_score: 1708.1411, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 0.971, recall: 0.9865, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2225, scimark_benchmark: 1284.2094, usercpu_time_millis: 480, usercpu_time_millis_testing: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9616, kappa: 0.9197, kb_relative_information_score: 1553.3609, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 0.971, recall: 0.9618, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.365, scimark_benchmark: 1315.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1360.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9752, kappa: 0.9481, kb_relative_information_score: 1501.4059, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9757, predictive_accuracy: 0.9753, prior_entropy: 0.971, recall: 0.9753, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3282, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9803, kappa: 0.9587, kb_relative_information_score: 1680.68, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9809, predictive_accuracy: 0.9803, prior_entropy: 0.971, recall: 0.9803, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2469, scimark_benchmark: 1343.2125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9367, kappa: 0.8673, kb_relative_information_score: 1509.9994, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9377, predictive_accuracy: 0.9371, prior_entropy: 0.971, recall: 0.9371, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4516, scimark_benchmark: 1352.2099, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9819, kappa: 0.9622, kb_relative_information_score: 1679.8571, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9825, predictive_accuracy: 0.982, prior_entropy: 0.971, recall: 0.982, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.246, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9616, kappa: 0.9197, kb_relative_information_score: 1553.3609, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 0.971, recall: 0.9618, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.365, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9224, kappa: 0.8373, kb_relative_information_score: 1358.26, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9238, predictive_accuracy: 0.923, prior_entropy: 0.971, recall: 0.923, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4791, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9592, kappa: 0.9144, kb_relative_information_score: 1311.7838, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9615, predictive_accuracy: 0.9596, prior_entropy: 0.971, recall: 0.9596, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4161, scimark_benchmark: 1345.7582, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9616, kappa: 0.9197, kb_relative_information_score: 1553.3609, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 0.971, recall: 0.9618, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.365, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9076, kappa: 0.8067, kb_relative_information_score: 1401.7378, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9077, predictive_accuracy: 0.9079, prior_entropy: 0.971, recall: 0.9079, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.594, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9701, kappa: 0.9374, kb_relative_information_score: 1614.0548, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9707, predictive_accuracy: 0.9702, prior_entropy: 0.971, recall: 0.9702, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2961, scimark_benchmark: 1358.4523, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9729, kappa: 0.9434, kb_relative_information_score: 1647.083, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.301, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9814, kappa: 0.9611, kb_relative_information_score: 1670.18, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9819, predictive_accuracy: 0.9815, prior_entropy: 0.971, recall: 0.9815, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2574, scimark_benchmark: 1320.9366,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9729, kappa: 0.9433, kb_relative_information_score: 1679.6631, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9737, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3148, scimark_benchmark: 1363.434, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9757, kappa: 0.9493, kb_relative_information_score: 1671.3315, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9763, predictive_accuracy: 0.9758, prior_entropy: 0.971, recall: 0.9758, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.2966, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.951, kappa: 0.8976, kb_relative_information_score: 1542.9482, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.971, recall: 0.9511, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3906, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9274, kappa: 0.8477, kb_relative_information_score: 1373.2132, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9295, predictive_accuracy: 0.9281, prior_entropy: 0.971, recall: 0.9281, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4533, scimark_benchmark: 1307.4861, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.928, kappa: 0.849, kb_relative_information_score: 1372.5618, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9299, predictive_accuracy: 0.9287, prior_entropy: 0.971, recall: 0.9287, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4571, scimark_benchmark: 1313.5726, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9275, kappa: 0.8479, kb_relative_information_score: 1368.6, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9291, predictive_accuracy: 0.9281, prior_entropy: 0.971, recall: 0.9281, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4629, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9414, kappa: 0.8776, kb_relative_information_score: 1554.6465, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9415, predictive_accuracy: 0.9416, prior_entropy: 0.971, recall: 0.9416, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4855, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9741, kappa: 0.9457, kb_relative_information_score: 1680.9937, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 0.971, recall: 0.9742, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3169, scimark_benchmark: 882.7843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9757, kappa: 0.9492, kb_relative_information_score: 1683.0517, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9763, predictive_accuracy: 0.9758, prior_entropy: 0.971, recall: 0.9758, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3112, scimark_benchmark: 915.9324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9741, kappa: 0.9457, kb_relative_information_score: 1678.557, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9746, predictive_accuracy: 0.9742, prior_entropy: 0.971, recall: 0.9742, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3066, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9644, kappa: 0.9254, kb_relative_information_score: 1640.8149, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9655, predictive_accuracy: 0.9646, prior_entropy: 0.971, recall: 0.9646, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3374, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.953, kappa: 0.9015, kb_relative_information_score: 1580.8091, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9546, predictive_accuracy: 0.9534, prior_entropy: 0.971, recall: 0.9534, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4021, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9535, kappa: 0.9023, kb_relative_information_score: 1546.6856, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9562, predictive_accuracy: 0.9539, prior_entropy: 0.971, recall: 0.9539, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3752, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9569, kappa: 0.9094, kb_relative_information_score: 1569.3526, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9598, predictive_accuracy: 0.9573, prior_entropy: 0.971, recall: 0.9573, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3974, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9696, kappa: 0.9367, kb_relative_information_score: 1664.2885, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.971, recall: 0.9697, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3557, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4514, kb_relative_information_score: 273.2452, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.3614, predictive_accuracy: 0.6011, prior_entropy: 0.971, recall: 0.6011, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6316, root_relative_squared_error: 1.2898, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9729, kappa: 0.9431, kb_relative_information_score: 1677.0114, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9741, predictive_accuracy: 0.973, prior_entropy: 0.971, recall: 0.973, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3354, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.969, kappa: 0.9351, kb_relative_information_score: 1601.2869, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9695, predictive_accuracy: 0.9691, prior_entropy: 0.971, recall: 0.9691, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3043, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8118, kappa: 0.6139, kb_relative_information_score: 1062.0685, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.8194, predictive_accuracy: 0.8101, prior_entropy: 0.971, recall: 0.8101, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8899, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9826, kappa: 0.9636, kb_relative_information_score: 1580.5105, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 0.971, recall: 0.9826, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2759, scimark_benchmark: 926.6704, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9803, kappa: 0.9587, kb_relative_information_score: 1680.68, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9809, predictive_accuracy: 0.9803, prior_entropy: 0.971, recall: 0.9803, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2469, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9752, kappa: 0.9481, kb_relative_information_score: 1501.4059, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4798, number_of_instances: 1780, precision: 0.9757, predictive_accuracy: 0.9753, prior_entropy: 0.971, recall: 0.9753, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3282, scimark_benchmark: 1072.3689, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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