OpenML
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87577 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8816, kappa: 0.558, kb_relative_information_score: 788.333, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9075, predictive_accuracy: 0.8982, prior_entropy: 0.6786, recall: 0.8982, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.7289, scimark_benchmark: 1371.4451, usercpu_time_millis: 97.222, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 95.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7402, kb_relative_information_score: 0.933, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1377.5165, usercpu_time_millis: 5.17, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 4.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9441, kappa: 0.7994, kb_relative_information_score: 1386.6411, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9506, predictive_accuracy: 0.9477, prior_entropy: 0.6786, recall: 0.9477, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.5697, scimark_benchmark: 1350.2418, usercpu_time_millis: 144.696, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 144.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9483, kappa: 0.8154, kb_relative_information_score: 1420.8799, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9539, predictive_accuracy: 0.9514, prior_entropy: 0.6786, recall: 0.9514, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1377.1442, usercpu_time_millis: 1253.959, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 1252.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9464, kappa: 0.8083, kb_relative_information_score: 1404.6726, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9524, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5614, scimark_benchmark: 1371.2698, usercpu_time_millis: 509.656, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 508.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7402, kb_relative_information_score: 1.322, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1373.2914, usercpu_time_millis: 4.526, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 3.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.891, kappa: 0.5947, kb_relative_information_score: 911.7024, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9145, predictive_accuracy: 0.9053, prior_entropy: 0.6786, recall: 0.9053, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.708, scimark_benchmark: 1377.7302, usercpu_time_millis: 71.696, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 71.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7402, kb_relative_information_score: -6.3663, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1376.378, usercpu_time_millis: 1.949, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9166, kappa: 0.6946, kb_relative_information_score: 1135.9757, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9307, predictive_accuracy: 0.9248, prior_entropy: 0.6786, recall: 0.9248, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.6515, scimark_benchmark: 1370.9908, usercpu_time_millis: 127.74, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 127.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8604, kappa: 0.4734, kb_relative_information_score: 740.0705, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8975, predictive_accuracy: 0.8841, prior_entropy: 0.6786, recall: 0.8841, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.7462, scimark_benchmark: 1373.2608, usercpu_time_millis: 408.544, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 407.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9288, kappa: 0.7455, kb_relative_information_score: 1096.2314, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9329, predictive_accuracy: 0.9331, prior_entropy: 0.6786, recall: 0.9331, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.6543, scimark_benchmark: 1372.6517, usercpu_time_millis: 565.529, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 564.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9445, kappa: 0.8012, kb_relative_information_score: 1417.0885, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9509, predictive_accuracy: 0.9481, prior_entropy: 0.6786, recall: 0.9481, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.5639, scimark_benchmark: 1374.8049, usercpu_time_millis: 517.961, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 516.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.7402, kb_relative_information_score: 1.0932, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1373.3425, usercpu_time_millis: 4.476, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9576, kappa: 0.8497, kb_relative_information_score: 1530.7236, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9616, predictive_accuracy: 0.9597, prior_entropy: 0.6786, recall: 0.9597, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.5231, scimark_benchmark: 1371.4029, usercpu_time_millis: 588.097, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 587.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9502, kappa: 0.8224, kb_relative_information_score: 1487.506, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9554, predictive_accuracy: 0.9531, prior_entropy: 0.6786, recall: 0.9531, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.546, scimark_benchmark: 1377.5273, usercpu_time_millis: 485.632, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 484.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9618, kappa: 0.8651, kb_relative_information_score: 1647.1397, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9648, predictive_accuracy: 0.9634, prior_entropy: 0.6786, recall: 0.9634, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4864, scimark_benchmark: 1373.5755, usercpu_time_millis: 248.904, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 248.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.946, kappa: 0.8065, kb_relative_information_score: 1406.5481, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.952, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5628, scimark_benchmark: 1372.0304, usercpu_time_millis: 515.418, usercpu_time_millis_testing: 1.548, usercpu_time_millis_training: 513.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7402, kb_relative_information_score: 57.9968, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.9072, scimark_benchmark: 1375.613, usercpu_time_millis: 163.622, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 162.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9632, kappa: 0.8701, kb_relative_information_score: 1775.5032, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.966, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.4619, scimark_benchmark: 1376.8364, usercpu_time_millis: 954.314, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 953.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9445, kappa: 0.8012, kb_relative_information_score: 1368.9536, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9509, predictive_accuracy: 0.9481, prior_entropy: 0.6786, recall: 0.9481, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5687, scimark_benchmark: 1376.3925, usercpu_time_millis: 174.638, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 174.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7402, kb_relative_information_score: 12.8489, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.9316, scimark_benchmark: 1375.2908, usercpu_time_millis: 19.641, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 19.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7402, kb_relative_information_score: 38.2902, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.9292, scimark_benchmark: 1379.8951, usercpu_time_millis: 2.697, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8673, kappa: 0.5019, kb_relative_information_score: 692.9599, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8968, predictive_accuracy: 0.8878, prior_entropy: 0.6786, recall: 0.8878, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7568, scimark_benchmark: 1372.7038, usercpu_time_millis: 266.445, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 265.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8655, kappa: 0.4934, kb_relative_information_score: 723.2765, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9002, predictive_accuracy: 0.8874, prior_entropy: 0.6786, recall: 0.8874, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7523, scimark_benchmark: 1374.5473, usercpu_time_millis: 64.497, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 63.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9072, kappa: 0.6584, kb_relative_information_score: 1043.4339, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.924, predictive_accuracy: 0.9173, prior_entropy: 0.6786, recall: 0.9173, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.258, root_relative_squared_error: 0.6729, scimark_benchmark: 1373.9526, usercpu_time_millis: 198.878, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 197.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9581, kappa: 0.8517, kb_relative_information_score: 1588.2721, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9618, predictive_accuracy: 0.9601, prior_entropy: 0.6786, recall: 0.9601, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5052, scimark_benchmark: 1372.569, usercpu_time_millis: 779.367, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 778.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9161, kappa: 0.6926, kb_relative_information_score: 1002.3071, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9304, predictive_accuracy: 0.9244, prior_entropy: 0.6786, recall: 0.9244, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6694, scimark_benchmark: 1371.5483, usercpu_time_millis: 262.465, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 259.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9309, kappa: 0.75, kb_relative_information_score: 1266.5453, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9404, predictive_accuracy: 0.9364, prior_entropy: 0.6786, recall: 0.9364, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6138, scimark_benchmark: 1375.9971, usercpu_time_millis: 448.559, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 447.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.946, kappa: 0.8065, kb_relative_information_score: 1436.8059, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.952, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5568, scimark_benchmark: 1366.9736, usercpu_time_millis: 426.088, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 425.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9516, kappa: 0.8277, kb_relative_information_score: 1437.1172, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9565, predictive_accuracy: 0.9543, prior_entropy: 0.6786, recall: 0.9543, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5524, scimark_benchmark: 1372.1407, usercpu_time_millis: 326.452, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 325.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7402, kb_relative_information_score: 1.2377, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1374.2884, usercpu_time_millis: 4.036, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 3.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.7402, kb_relative_information_score: 1.5949, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1374.4099, usercpu_time_millis: 2.648, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9608, kappa: 0.8615, kb_relative_information_score: 1629.9856, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9626, prior_entropy: 0.6786, recall: 0.9626, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4929, scimark_benchmark: 1374.9097, usercpu_time_millis: 840.285, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 839.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9535, kappa: 0.8343, kb_relative_information_score: 1535.7146, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9582, predictive_accuracy: 0.956, prior_entropy: 0.6786, recall: 0.956, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.5308, scimark_benchmark: 1372.8429, usercpu_time_millis: 211.437, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 211.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9333, kappa: 0.7589, kb_relative_information_score: 1195.226, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9425, predictive_accuracy: 0.9385, prior_entropy: 0.6786, recall: 0.9385, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.6224, scimark_benchmark: 1371.5002, usercpu_time_millis: 570.942, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 568.909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9224, kappa: 0.7172, kb_relative_information_score: 1160.0407, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9343, predictive_accuracy: 0.9294, prior_entropy: 0.6786, recall: 0.9294, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.6369, scimark_benchmark: 1848.2615, usercpu_time_millis: 401.846, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 400.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9353, kappa: 0.7664, kb_relative_information_score: 1355.8898, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.944, predictive_accuracy: 0.9402, prior_entropy: 0.6786, recall: 0.9402, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.591, scimark_benchmark: 1842.6679, usercpu_time_millis: 306.862, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 305.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9349, kappa: 0.765, kb_relative_information_score: 1241.9594, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9433, predictive_accuracy: 0.9398, prior_entropy: 0.6786, recall: 0.9398, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6088, scimark_benchmark: 1849.3014, usercpu_time_millis: 258.304, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 257.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8363, kappa: 0.3772, kb_relative_information_score: 547.1296, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8843, predictive_accuracy: 0.8687, prior_entropy: 0.6786, recall: 0.8687, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.7909, scimark_benchmark: 1846.2342, usercpu_time_millis: 183.396, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 182.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.7959, kappa: 0.2162, kb_relative_information_score: 527.857, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8708, predictive_accuracy: 0.8467, prior_entropy: 0.6786, recall: 0.8467, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.8021, scimark_benchmark: 1850.3603, usercpu_time_millis: 175.412, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 174.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7402, kb_relative_information_score: 66.8214, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.9153, scimark_benchmark: 1847.7442, usercpu_time_millis: 126.2, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 125.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7402, kb_relative_information_score: 414.245, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8332, scimark_benchmark: 1717.8093, usercpu_time_millis: 117.488, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 116.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7402, kb_relative_information_score: 22.9126, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9305, scimark_benchmark: 1839.1303, usercpu_time_millis: 64.199, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 63.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9539, kappa: 0.836, kb_relative_information_score: 1614.8319, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9586, predictive_accuracy: 0.9564, prior_entropy: 0.6786, recall: 0.9564, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5145, scimark_benchmark: 1848.7762, usercpu_time_millis: 45.093, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 44.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8339, kappa: 0.3677, kb_relative_information_score: 569.7288, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8818, predictive_accuracy: 0.8671, prior_entropy: 0.6786, recall: 0.8671, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.7898, scimark_benchmark: 1849.7595, usercpu_time_millis: 33.777, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 32.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9563, kappa: 0.8449, kb_relative_information_score: 1562.0873, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9603, predictive_accuracy: 0.9585, prior_entropy: 0.6786, recall: 0.9585, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.5169, scimark_benchmark: 1853.9849, usercpu_time_millis: 27.229, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 26.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8051, kappa: 0.2528, kb_relative_information_score: 443.6648, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8719, predictive_accuracy: 0.8513, prior_entropy: 0.6786, recall: 0.8513, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.8173, scimark_benchmark: 1850.2875, usercpu_time_millis: 24.216, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 23.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7402, kb_relative_information_score: -18.4756, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.9353, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.921, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 22.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8922, kappa: 0.6011, kb_relative_information_score: 853.0527, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9109, predictive_accuracy: 0.9053, prior_entropy: 0.6786, recall: 0.9053, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.7132, scimark_benchmark: 1849.8294, usercpu_time_millis: 11.166, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 10.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7402, kb_relative_information_score: 1.0194, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1841.1108, usercpu_time_millis: 3.236, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9622, kappa: 0.8665, kb_relative_information_score: 1674.5919, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9654, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4868, scimark_benchmark: 1728.1365, usercpu_time_millis: 1091.745, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 1090.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9487, kappa: 0.8168, kb_relative_information_score: 1479.554, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9545, predictive_accuracy: 0.9518, prior_entropy: 0.6786, recall: 0.9518, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5498, scimark_benchmark: 1726.5817, usercpu_time_millis: 502.101, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 501.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9631, kappa: 0.8698, kb_relative_information_score: 1674.2209, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9661, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4822, scimark_benchmark: 1730.5684, usercpu_time_millis: 417.121, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 416.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9431, kappa: 0.7958, kb_relative_information_score: 1398.6905, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9498, predictive_accuracy: 0.9468, prior_entropy: 0.6786, recall: 0.9468, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5699, scimark_benchmark: 1745.172, usercpu_time_millis: 298.609, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 297.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9572, kappa: 0.848, kb_relative_information_score: 1567.6142, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9612, predictive_accuracy: 0.9593, prior_entropy: 0.6786, recall: 0.9593, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5163, scimark_benchmark: 1704.3807, usercpu_time_millis: 300.232, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 299.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9264, kappa: 0.7328, kb_relative_information_score: 1282.0346, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9371, predictive_accuracy: 0.9327, prior_entropy: 0.6786, recall: 0.9327, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.6161, scimark_benchmark: 1726.1218, usercpu_time_millis: 205.491, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 204.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9207, kappa: 0.7106, kb_relative_information_score: 1131.3088, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9335, predictive_accuracy: 0.9281, prior_entropy: 0.6786, recall: 0.9281, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.6467, scimark_benchmark: 1728.9292, usercpu_time_millis: 190.378, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 189.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9021, kappa: 0.6388, kb_relative_information_score: 968.1652, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9196, predictive_accuracy: 0.9132, prior_entropy: 0.6786, recall: 0.9132, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.6891, scimark_benchmark: 1721.9616, usercpu_time_millis: 172.309, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 171.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7826, kappa: 0.164, kb_relative_information_score: 528.0289, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8661, predictive_accuracy: 0.8401, prior_entropy: 0.6786, recall: 0.8401, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7995, scimark_benchmark: 1710.0266, usercpu_time_millis: 165.781, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 165.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7402, kb_relative_information_score: -29.0231, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9359, scimark_benchmark: 1731.0306, usercpu_time_millis: 146.611, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 145.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7402, kb_relative_information_score: 188.2239, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.8859, scimark_benchmark: 1712.3558, usercpu_time_millis: 136.807, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 136.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8695, kappa: 0.5095, kb_relative_information_score: 721.1515, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9032, predictive_accuracy: 0.8903, prior_entropy: 0.6786, recall: 0.8903, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.7499, scimark_benchmark: 1712.8537, usercpu_time_millis: 125.89, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 124.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8784, kappa: 0.5452, kb_relative_information_score: 752.8679, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9064, predictive_accuracy: 0.8961, prior_entropy: 0.6786, recall: 0.8961, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.736, scimark_benchmark: 1741.1523, usercpu_time_millis: 115.439, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 113.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8023, kappa: 0.2415, kb_relative_information_score: 450.3198, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8732, predictive_accuracy: 0.85, prior_entropy: 0.6786, recall: 0.85, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.815, scimark_benchmark: 1725.7004, usercpu_time_millis: 85.051, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 84.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8824, kappa: 0.5613, kb_relative_information_score: 763.0337, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9073, predictive_accuracy: 0.8986, prior_entropy: 0.6786, recall: 0.8986, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.7305, scimark_benchmark: 1746.5462, usercpu_time_millis: 87.1, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 85.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9432, kappa: 0.7962, kb_relative_information_score: 1397.1458, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9496, predictive_accuracy: 0.9468, prior_entropy: 0.6786, recall: 0.9468, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.5755, scimark_benchmark: 1700.7427, usercpu_time_millis: 71.292, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 70.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8046, kappa: 0.2508, kb_relative_information_score: 468.2142, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8741, predictive_accuracy: 0.8513, prior_entropy: 0.6786, recall: 0.8513, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8159, scimark_benchmark: 1712.9346, usercpu_time_millis: 32.186, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 31.494,

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