OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8039, kappa: 0.5968, kb_relative_information_score: 892.5975, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.798, predictive_accuracy: 0.8154, prior_entropy: 1.2099, recall: 0.8154, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7382, scimark_benchmark: 1584.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1317.655, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.939, kappa: 0.8666, kb_relative_information_score: -3.4752, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 1.1158, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9449, scimark_benchmark: 1486.0807, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9873, kappa: 0.9722, kb_relative_information_score: 32.7506, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9875, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9273, scimark_benchmark: 1403.4136, usercpu_time_millis: 400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9901, kappa: 0.9785, kb_relative_information_score: 36.9332, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9241, scimark_benchmark: 1523.0248, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737, scimark_benchmark: 1478.6229, usercpu_time_millis: 1140, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 1434.4021, usercpu_time_millis: 1030, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9324, kappa: 0.8532, kb_relative_information_score: 1466.512, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9338, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4771, scimark_benchmark: 1505.3234, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8632, kappa: 0.7204, kb_relative_information_score: 1185.3949, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8624, predictive_accuracy: 0.8709, prior_entropy: 1.2099, recall: 0.8709, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6167, scimark_benchmark: 1500.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7937, kappa: 0.6013, kb_relative_information_score: 833.9921, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7915, predictive_accuracy: 0.8137, prior_entropy: 1.2099, recall: 0.8137, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7503, scimark_benchmark: 1462.3383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8013, kappa: 0.5898, kb_relative_information_score: 900.6808, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7945, predictive_accuracy: 0.8125, prior_entropy: 1.2099, recall: 0.8125, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7368, scimark_benchmark: 1435.4629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9047, kappa: 0.8014, kb_relative_information_score: -31.8601, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9143, predictive_accuracy: 0.9074, prior_entropy: 1.2099, recall: 0.9074, relative_absolute_error: 1.1293, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.9615, scimark_benchmark: 1558.8655, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1572.12, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9954, kappa: 0.9899, kb_relative_information_score: 41.0657, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.2099, recall: 0.9954, relative_absolute_error: 1.0935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.922, scimark_benchmark: 1522.4296, usercpu_time_millis: 640, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9445, kappa: 0.8809, kb_relative_information_score: 0.5262, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.945, prior_entropy: 1.2099, recall: 0.945, relative_absolute_error: 1.1135, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9454, scimark_benchmark: 1430.8104, usercpu_time_millis: 680, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.6683, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5772, scimark_benchmark: 1499.0204, usercpu_time_millis: 260, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.6683, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5772, scimark_benchmark: 1595.5784, usercpu_time_millis: 330, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.7424, kappa: 0.44, kb_relative_information_score: 744.7704, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.747, predictive_accuracy: 0.7905, prior_entropy: 1.2099, recall: 0.7905, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.7346, scimark_benchmark: 1540.486, usercpu_time_millis: 230, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1424.2227, usercpu_time_millis: 260, usercpu_time_millis_testing: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1552.5351, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.7182, kappa: 0.3792, kb_relative_information_score: 720.1803, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6882, predictive_accuracy: 0.7737, prior_entropy: 1.2099, recall: 0.7737, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7449, scimark_benchmark: 1574.4497, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9608, kappa: 0.9158, kb_relative_information_score: 1372.2972, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4305, scimark_benchmark: 1415.8951, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.895, kappa: 0.8112, kb_relative_information_score: 1188.5046, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8852, predictive_accuracy: 0.9149, prior_entropy: 1.2099, recall: 0.9149, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5381, scimark_benchmark: 1576.9503, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1666.175, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.994, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1655, scimark_benchmark: 1517.4235, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9385, kappa: 0.8698, kb_relative_information_score: 1490.5141, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.3973, scimark_benchmark: 1505.0569, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5165, scimark_benchmark: 1472.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9494, kappa: 0.8911, kb_relative_information_score: 1280.5453, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9506, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4816, scimark_benchmark: 1873.2665, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 1806.2598, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1423.8077, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9416, predictive_accuracy: 0.9392, prior_entropy: 1.2099, recall: 0.9392, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.459, scimark_benchmark: 1825.6955, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.873, kb_relative_information_score: 1442.4932, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9433, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4532, scimark_benchmark: 1793.4995, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9152, kappa: 0.834, kb_relative_information_score: 1139.3223, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9204, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.561, scimark_benchmark: 1731.2506, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9185, kappa: 0.8386, kb_relative_information_score: 1154.6142, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9253, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5525, scimark_benchmark: 1688.066, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8847, kappa: 0.7546, kb_relative_information_score: 1308.6496, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 1.2099, recall: 0.886, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.5367, scimark_benchmark: 1690.1988, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8831, kappa: 0.7514, kb_relative_information_score: 1314.131, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8836, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.5355, scimark_benchmark: 1565.2918, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8621, kappa: 0.7168, kb_relative_information_score: 1191.595, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8604, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6154, scimark_benchmark: 1747.1023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9324, kappa: 0.8532, kb_relative_information_score: 1466.512, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9338, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4771, scimark_benchmark: 1693.8107,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 1485.9205, usercpu_time_millis: 2980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1387.9637, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 1403.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8917, kappa: 0.7684, kb_relative_information_score: 1195.3368, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6224, scimark_benchmark: 1522.8566, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1499.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1646.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.961, kappa: 0.9149, kb_relative_information_score: 1560.6603, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3746, scimark_benchmark: 1435.1812, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 1257.3391, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9641, kappa: 0.9222, kb_relative_information_score: 1569.369, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3731, scimark_benchmark: 1587.3861, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9549, kappa: 0.9019, kb_relative_information_score: 1538.5304, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.385, scimark_benchmark: 1490.2212, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9258, kappa: 0.839, kb_relative_information_score: 1371.6632, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9275, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.484, scimark_benchmark: 1532.9547, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 1639.8876, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 1527.8714, usercpu_time_millis: 2580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 1481.218, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9348, kappa: 0.8588, kb_relative_information_score: 1274.0518, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5107, scimark_benchmark: 1502.1379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8388, kappa: 0.6541, kb_relative_information_score: 995.9336, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.844, predictive_accuracy: 0.8501, prior_entropy: 1.2099, recall: 0.8501, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6738, scimark_benchmark: 1478.9462, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8557, kappa: 0.7078, kb_relative_information_score: 883.5904, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8429, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6723, scimark_benchmark: 1438.4116, usercpu_time_millis: 2800, usercpu_time_millis_testing: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8499, kappa: 0.6735, kb_relative_information_score: 1016.9805, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8538, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6684, scimark_benchmark: 1661.7038, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1589.591, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9902, kappa: 0.9786, kb_relative_information_score: 1684.6058, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9904, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1966, scimark_benchmark: 1470.968, usercpu_time_millis: 27790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 27770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8979, kappa: 0.777, kb_relative_information_score: 1313.6293, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8978, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5647, scimark_benchmark: 1587.8646, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 1542.0464, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 1592.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 1596.8335, usercpu_time_millis: 1290, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: 1583.3912, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2795, scimark_benchmark: 1489.5971, usercpu_time_millis: 26530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 26520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9445, kappa: 0.8809, kb_relative_information_score: 0.5262, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.945, prior_entropy: 1.2099, recall: 0.945, relative_absolute_error: 1.1135, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9454, scimark_benchmark: 1543.4133, usercpu_time_millis: 1140, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 900,

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