OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 3736 Supervised Classification boston 654 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8396, kappa: 0.6668, kb_relative_information_score: 294.9284, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8436, predictive_accuracy: 0.8419, prior_entropy: 0.9782, recall: 0.8419, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7126, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8371, kappa: 0.669, kb_relative_information_score: 271.0067, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8445, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7245, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7959, kappa: 0.5923, kb_relative_information_score: 247.7644, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8169, predictive_accuracy: 0.7945, prior_entropy: 0.9782, recall: 0.7945, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8419, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.857, kappa: 0.7028, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8643, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8771, kappa: 0.7459, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.788, kappa: 0.5617, kb_relative_information_score: 282.3435, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7877, predictive_accuracy: 0.7885, prior_entropy: 0.9782, recall: 0.7885, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8542, kappa: 0.6975, kb_relative_information_score: 298.4996, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8564, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7179, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.4476, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.855, kappa: 0.6997, kb_relative_information_score: 312.1296, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8554, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6736, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.8045, kappa: 0.5973, kb_relative_information_score: 298.0647, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8048, predictive_accuracy: 0.8043, prior_entropy: 0.9782, recall: 0.8043, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8964, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8357, kappa: 0.6605, kb_relative_information_score: 331.3921, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8208, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8718, kappa: 0.736, kb_relative_information_score: 327.285, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8721, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6383, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7541, kappa: 0.5149, kb_relative_information_score: 246.2171, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7853, predictive_accuracy: 0.753, prior_entropy: 0.9782, recall: 0.753, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9584, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8511, kappa: 0.6919, kb_relative_information_score: 349.2047, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7819, usercpu_time_millis: 6.01, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 5.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8748, kappa: 0.7408, kb_relative_information_score: 374.2776, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7166, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8556, kappa: 0.7018, kb_relative_information_score: 353.3835, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8555, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7714, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7106, kappa: 0.4311, kb_relative_information_score: 198.767, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7434, predictive_accuracy: 0.7095, prior_entropy: 0.9782, recall: 0.7095, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0947, usercpu_time_millis: 16.818, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 16.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8784, kappa: 0.748, kb_relative_information_score: 378.4564, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8801, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7052, usercpu_time_millis: 6.872, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 6.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8828, kappa: 0.7573, kb_relative_information_score: 382.6353, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8834, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6935, usercpu_time_millis: 46.026, usercpu_time_millis_testing: 4.816, usercpu_time_millis_training: 41.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8869, kappa: 0.7659, kb_relative_information_score: 386.8141, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6817, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 3.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.897, kappa: 0.7872, kb_relative_information_score: 397.2612, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.897, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6511, usercpu_time_millis: 7.083, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 6.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8712, kappa: 0.7337, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279, usercpu_time_millis: 0.826, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7823, kappa: 0.561, kb_relative_information_score: 273.9858, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7952, predictive_accuracy: 0.7806, prior_entropy: 0.9782, recall: 0.7806, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9512, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.883, kappa: 0.758, kb_relative_information_score: 382.6353, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6935, usercpu_time_millis: 18.285, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 18.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8617, kappa: 0.7147, kb_relative_information_score: 359.6517, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8617, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7554, usercpu_time_millis: 2.989, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 2.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8723, kappa: 0.735, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8745, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 89.984, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 89.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8462, kappa: 0.681, kb_relative_information_score: 345.0258, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8483, predictive_accuracy: 0.8478, prior_entropy: 0.9782, recall: 0.8478, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7923, usercpu_time_millis: 2.114, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5809, kappa: 0.1611, kb_relative_information_score: 115.1905, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.6326, predictive_accuracy: 0.6304, prior_entropy: 0.9782, recall: 0.6304, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2347, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7521, kappa: 0.5114, kb_relative_information_score: 242.6446, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.784, predictive_accuracy: 0.751, prior_entropy: 0.9782, recall: 0.751, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0135, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8377, kappa: 0.6629, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8413, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8866, kappa: 0.7652, kb_relative_information_score: 386.8141, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8876, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6817, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8588, kappa: 0.7075, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8595, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8574, kappa: 0.7053, kb_relative_information_score: 355.4729, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7661, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8534, kappa: 0.6971, kb_relative_information_score: 351.2941, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7767, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 1.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 351.2941, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7767, usercpu_time_millis: 3.549, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 2.174,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8927, kappa: 0.7777, kb_relative_information_score: 333.8481, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8935, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.291, root_relative_squared_error: 0.591, scimark_benchmark: 763.3895, usercpu_time_millis: 4700, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8321, kappa: 0.6538, kb_relative_information_score: 313.5154, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7489, scimark_benchmark: 934.695, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 936.3213, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8766, kappa: 0.7444, kb_relative_information_score: 330.7784, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8776, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5836, scimark_benchmark: 936.9595, usercpu_time_millis: 4640, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8869, kappa: 0.7659, kb_relative_information_score: 331.3906, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5852, scimark_benchmark: 941.3057, usercpu_time_millis: 2150, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8789, kappa: 0.7494, kb_relative_information_score: 327.7039, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8792, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5928, scimark_benchmark: 939.3535, usercpu_time_millis: 1040, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8706, kappa: 0.7318, kb_relative_information_score: 331.019, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8717, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.592, scimark_benchmark: 939.5607, usercpu_time_millis: 490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8771, kappa: 0.7459, kb_relative_information_score: 332.748, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5872, scimark_benchmark: 936.7184, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8397, kappa: 0.6692, kb_relative_information_score: 293.8392, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7286, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8397, kappa: 0.6692, kb_relative_information_score: 293.8392, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7286, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8397, kappa: 0.6692, kb_relative_information_score: 293.8392, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7286, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8397, kappa: 0.6692, kb_relative_information_score: 293.8392, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7286, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8397, kappa: 0.6692, kb_relative_information_score: 293.8392, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7286, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8604, kappa: 0.7106, kb_relative_information_score: 362.1002, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.862, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7128, scimark_benchmark: 926.5859, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8665, kappa: 0.7232, kb_relative_information_score: 360.2086, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.868, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7158, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.864, kappa: 0.7176, kb_relative_information_score: 361.2857, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8672, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7146, scimark_benchmark: 940.0055, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8548, kappa: 0.6993, kb_relative_information_score: 352.8128, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8555, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7264, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8518, kappa: 0.6923, kb_relative_information_score: 347.6859, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8554, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7482, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4342, kb_relative_information_score: 69.2234, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3053, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.4476, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8598, kappa: 0.7112, kb_relative_information_score: 299.9097, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.86, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6295, scimark_benchmark: 935.8024, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8441, kappa: 0.6766, kb_relative_information_score: 260.0694, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8465, predictive_accuracy: 0.8459, prior_entropy: 0.9782, recall: 0.8459, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6881, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8571, kappa: 0.7044, kb_relative_information_score: 277.9381, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6645, scimark_benchmark: 930.0565, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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