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Supervised Classification on auto_price

Supervised Classification on auto_price

Task 4316 Supervised Classification auto_price 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9571, kappa: 0.9041, kb_relative_information_score: 1402.7627, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9264, recall: 0.9572, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4183, scimark_benchmark: 1344.4042, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9673, kappa: 0.927, kb_relative_information_score: 1466.3181, 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: 0.0724, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3733, scimark_benchmark: 942.9708, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9548, kappa: 0.8994, kb_relative_information_score: 1375.3479, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.9264, recall: 0.9547, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4343, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9588, kappa: 0.9076, kb_relative_information_score: 1327.0525, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.9264, recall: 0.9591, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3403, scimark_benchmark: 1331.7205, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.3097, 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: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9698, kappa: 0.9325, kb_relative_information_score: 1472.655, 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: 0.3597, scimark_benchmark: 1318.5627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9559, kappa: 0.9004, kb_relative_information_score: 1429.4491, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9587, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3931, scimark_benchmark: 1341.2341, 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: 1443.3097, 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: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9393, kappa: 0.8654, kb_relative_information_score: 1368.0704, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.94, predictive_accuracy: 0.939, prior_entropy: 0.9264, recall: 0.939, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4742, scimark_benchmark: 892.0148,
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: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.967, kappa: 0.9257, kb_relative_information_score: 1464.4075, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9682, predictive_accuracy: 0.9673, prior_entropy: 0.9264, recall: 0.9673, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.355, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9683, kappa: 0.9288, kb_relative_information_score: 1461.2185, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.969, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9583, kappa: 0.9065, kb_relative_information_score: 1326.9287, mean_absolute_error: 0.0822, 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: 0.183, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3845, scimark_benchmark: 892.0148, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.962, kappa: 0.9146, kb_relative_information_score: 1325.9448, mean_absolute_error: 0.0834, 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: 0.1857, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3502, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9559, kappa: 0.9016, kb_relative_information_score: 1370.3668, 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: 0.1447, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4367, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9581, kappa: 0.906, kb_relative_information_score: 1330.767, mean_absolute_error: 0.0825, 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: 0.1836, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3375, scimark_benchmark: 1320.9366, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.3097, 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: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9517, kappa: 0.8926, kb_relative_information_score: 1375.7739, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9519, predictive_accuracy: 0.9516, prior_entropy: 0.9264, recall: 0.9516, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4573, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9116, kb_relative_information_score: 1330.6402, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3411, scimark_benchmark: 1322.4968, 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: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9495, kappa: 0.8872, kb_relative_information_score: 1051.07, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4927, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9609, kappa: 0.9126, kb_relative_information_score: 1451.2811, mean_absolute_error: 0.0373, 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: 0.0831, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3423, scimark_benchmark: 925.4974, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9596, kappa: 0.9097, kb_relative_information_score: 1444.196, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.9264, recall: 0.9597, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3657, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8421, kappa: 0.6514, kb_relative_information_score: 998.8723, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.8445, predictive_accuracy: 0.8409, prior_entropy: 0.9264, recall: 0.8409, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8423, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9314, kappa: 0.8458, kb_relative_information_score: 1321.188, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.9264, recall: 0.9321, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5467, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9314, kappa: 0.8458, kb_relative_information_score: 1335.8058, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.9264, recall: 0.9321, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5503, scimark_benchmark: 1319.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9252, kappa: 0.8349, kb_relative_information_score: 754.0603, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9272, predictive_accuracy: 0.9245, prior_entropy: 0.9264, recall: 0.9245, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6367, scimark_benchmark: 1340.9497,
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: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.3097, 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: 1371.9645,
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: 1316.8289, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9565, kappa: 0.9029, kb_relative_information_score: 1409.8812, mean_absolute_error: 0.0495, 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: 0.1102, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.436, 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: 0.9473, f_measure: 0.9546, kappa: 0.8986, kb_relative_information_score: 1419.4583, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.9264, recall: 0.9547, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4493, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9462, kappa: 0.8808, kb_relative_information_score: 1355.0193, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9471, predictive_accuracy: 0.9459, prior_entropy: 0.9264, recall: 0.9459, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.483, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0134, build_memory: 1527654963.7987, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0109, build_memory: 1635350318.7472, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0081, build_memory: 824310475.8692, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.008, build_memory: 2336931298.0126, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.0098, build_memory: 1095634738.3296, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.007, build_memory: 1869138199.6025, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.007, build_memory: 811453652.634, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.6391, 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: 0.0944, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3156, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, build_cpu_time: 0.453, build_memory: 125364337.9572, f_measure: 0.964, kappa: 0.9195, kb_relative_information_score: 1374.6181, mean_absolute_error: 0.0652, 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: 0.1451, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3673, scimark_benchmark: 770.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.1056, build_memory: 169793740.8352, f_measure: 0.9629, kappa: 0.9174, kb_relative_information_score: 1377.8446, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 0.9264, recall: 0.9629, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3568, scimark_benchmark: 939.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.1152, build_memory: 2319210373.5245, f_measure: 0.9629, kappa: 0.9174, kb_relative_information_score: 1377.8446, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 0.9264, recall: 0.9629, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3568, scimark_benchmark: 947.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.0652, build_memory: 973692019.0088, f_measure: 0.961, kappa: 0.9132, kb_relative_information_score: 1374.7987, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3619, scimark_benchmark: 936.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 0.0326, build_memory: 64292706.073, f_measure: 0.9604, kappa: 0.9117, kb_relative_information_score: 1376.2485, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.9264, recall: 0.9604, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3631, scimark_benchmark: 947.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0142, build_memory: 913989785.6151, f_measure: 0.9616, kappa: 0.9145, kb_relative_information_score: 1376.5946, mean_absolute_error: 0.063, 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: 0.1402, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3658, scimark_benchmark: 939.9781,

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