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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12568 Runs

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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: 1537.8813, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
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: 1432.1848, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
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: 1483.7939, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
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: 1427.5562, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
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: 1489.0197, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
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: 1471.0638, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, 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: 1750.521, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, 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: 1458.4888, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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: 1596.4259, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
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: 1539.9805, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, 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: 1629.1973, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, 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: 1816.5589, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, 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: 1766.7086, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, 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: 1109.2084,
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: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1612.7197,
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: 1505.4596, 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: 1478.4668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075, scimark_benchmark: 1417.7181, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8532, kappa: 0.6902, kb_relative_information_score: 1225.0085, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8553, prior_entropy: 1.2099, recall: 0.8553, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6108, scimark_benchmark: 1461.1435, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1535.9045,
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: 1495.7309, usercpu_time_millis: 320, usercpu_time_millis_testing: 310, 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: 1542.3501, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
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: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1454.9121,
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: 1753.9488, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
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: 1606.2462, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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: 1755.2658, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, 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: 1760.6913, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, 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: 1745.412, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, 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: 1463.4881, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
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: 1816.3493, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
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: 1837.4719, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
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: 1841.5685, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
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: 1472.468, usercpu_time_millis: 1300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.5768, kb_relative_information_score: 660.5075, mean_absolute_error: 0.1378, 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: 0.6018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.7889, scimark_benchmark: 1415.1066, usercpu_time_millis: 11160, usercpu_time_millis_testing: 11150, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.5768, kb_relative_information_score: 660.1156, mean_absolute_error: 0.1378, 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: 0.6017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7892, scimark_benchmark: 1370.937, usercpu_time_millis: 970, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9368, kappa: 0.8621, kb_relative_information_score: 1493.9384, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9375, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4582, scimark_benchmark: 1390.8467, usercpu_time_millis: 4480, usercpu_time_millis_testing: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8384, kappa: 0.6458, kb_relative_information_score: 1229.2951, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8353, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6693, scimark_benchmark: 1439.8515, usercpu_time_millis: 2260, usercpu_time_millis_testing: 2260,
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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: 1547.2724, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, 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: 1494.6238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
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: 1456.2507, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
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: 1675.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, 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: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.697, 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,

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