OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9414, kappa: 0.8703, kb_relative_information_score: 590.8401, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4917, scimark_benchmark: 1453.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9388, kappa: 0.8653, kb_relative_information_score: 558.8297, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4921, scimark_benchmark: 1558.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9457, kappa: 0.8801, kb_relative_information_score: 577.6263, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9459, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4629, scimark_benchmark: 1421.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9529, kappa: 0.8962, kb_relative_information_score: 589.204, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9533, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4382, scimark_benchmark: 1579.2311, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9444, kappa: 0.8774, kb_relative_information_score: 558.0425, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9448, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4806, scimark_benchmark: 1527.1317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.94, kappa: 0.8675, kb_relative_information_score: 555.4419, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4887, scimark_benchmark: 1503.6975, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9628, kappa: 0.9175, kb_relative_information_score: 638.698, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058, scimark_benchmark: 1717.477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899, scimark_benchmark: 1347.8754, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9555, kappa: 0.9014, kb_relative_information_score: 627.1606, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9555, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4431, scimark_benchmark: 1426.2221, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9671, kappa: 0.9272, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 1644.1609, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 633.0688, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4191, scimark_benchmark: 1528.298, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 631.4445, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3312, scimark_benchmark: 1531.4811, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 621.9516, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3425, scimark_benchmark: 1543.7885, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 632.2789, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4186, scimark_benchmark: 1479.8127, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 630.0322, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3338, scimark_benchmark: 1409.1952, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 619.4509, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3469, scimark_benchmark: 1380.2525, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9629, kappa: 0.9182, kb_relative_information_score: 599.3915, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9632, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.346, scimark_benchmark: 1511.1916, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 615.1341, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.383, scimark_benchmark: 1441.3079, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9629, kappa: 0.9182, kb_relative_information_score: 588.9588, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9632, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3495, scimark_benchmark: 1400.7232, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 615.6485, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3796, scimark_benchmark: 1476.1143, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 594.3379, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4421, scimark_benchmark: 1595.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 612.3947, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3442, scimark_benchmark: 1465.9068, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 610.6032, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3501, scimark_benchmark: 1833.6468, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 606.8592, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3636, scimark_benchmark: 1660.1296, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 605.7918, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3721, scimark_benchmark: 1710.9928, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 601.6682, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3586, scimark_benchmark: 1671.0524, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 604.0195, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3546, scimark_benchmark: 1762.2558, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 602.2677, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3627, scimark_benchmark: 1763.1691, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 603.6997, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3641, scimark_benchmark: 1779.2543, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.946, kappa: 0.8815, kb_relative_information_score: 579.0618, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9475, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4698, scimark_benchmark: 1792.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 1683.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9414, kappa: 0.8703, kb_relative_information_score: 590.8401, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4917, scimark_benchmark: 1592.819, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9388, kappa: 0.8653, kb_relative_information_score: 558.8297, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4921, scimark_benchmark: 1825.1426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9457, kappa: 0.8801, kb_relative_information_score: 577.6263, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9459, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4629, scimark_benchmark: 1623.2189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9529, kappa: 0.8962, kb_relative_information_score: 589.204, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9533, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4382, scimark_benchmark: 1637.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9444, kappa: 0.8774, kb_relative_information_score: 558.0425, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9448, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4806, scimark_benchmark: 1613.589,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.94, kappa: 0.8675, kb_relative_information_score: 555.4419, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4887, scimark_benchmark: 1551.2281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9443, kappa: 0.8771, kb_relative_information_score: 599.9492, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9446, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4574, scimark_benchmark: 1516.2556, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 605.6027, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4177, scimark_benchmark: 1561.4419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.4995, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3833, scimark_benchmark: 1448.7204, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 624.2518, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4178, scimark_benchmark: 1793.9529, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.9397, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.374, scimark_benchmark: 1740.4408, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 608.2936, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3706, scimark_benchmark: 1533.446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 616.4606, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3547, scimark_benchmark: 1554.735, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9261, kappa: 0.8376, kb_relative_information_score: 507.5449, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9273, predictive_accuracy: 0.9256, prior_entropy: 0.9297, recall: 0.9256, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.499, scimark_benchmark: 1471.0186, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 607.3236, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3686, scimark_benchmark: 1515.3419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9602, kappa: 0.9125, kb_relative_information_score: 634.0881, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.407, scimark_benchmark: 1469.2788, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9525, kappa: 0.8944, kb_relative_information_score: 612.106, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4009, scimark_benchmark: 1545.7629, usercpu_time_millis: 970, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9701, kappa: 0.9342, kb_relative_information_score: 649.9413, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9708, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.354, scimark_benchmark: 1449.7774, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 631.0003, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4242, scimark_benchmark: 1516.5295, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 628.3931, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.427, scimark_benchmark: 1521.283, usercpu_time_millis: 2040, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9515, kappa: 0.893, kb_relative_information_score: 610.551, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9518, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.412, scimark_benchmark: 1516.8737, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9483, kappa: 0.8851, kb_relative_information_score: 610.6947, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4185, scimark_benchmark: 1391.4559, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9398, kappa: 0.8665, kb_relative_information_score: 600.9335, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5104, scimark_benchmark: 1644.7857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 630.1254, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3734, scimark_benchmark: 1513.2315, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 615.9437, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3608, scimark_benchmark: 1559.0677, usercpu_time_millis: 1600, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9671, kappa: 0.9272, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 1538.8818, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 631.8344, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4247, scimark_benchmark: 1518.5301, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 631.7407, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3282, scimark_benchmark: 1470.5862, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9629, kappa: 0.9182, kb_relative_information_score: 588.9588, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9632, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3495, scimark_benchmark: 1397.4209, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 615.6485, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3796, scimark_benchmark: 1368.0315, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 615.1341, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.383, scimark_benchmark: 1448.7964, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 612.3947, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3442, scimark_benchmark: 1557.7783, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 610.6032, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3501, scimark_benchmark: 1251.4376, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

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