OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 145872 Supervised Classification steel-plates-fault 132228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1790.1306, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1674, scimark_benchmark: 1222.8606, usercpu_time_millis: 54.752, usercpu_time_millis_testing: 2.671, usercpu_time_millis_training: 52.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1690.9784, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.2344, scimark_benchmark: 1231.3138, usercpu_time_millis: 46.882, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 44.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.6562, kappa: 0.2493, kb_relative_information_score: 393.6007, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8033, predictive_accuracy: 0.7233, prior_entropy: 0.9313, recall: 0.7233, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.858, scimark_benchmark: 1222.7876, usercpu_time_millis: 16.414, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 14.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8664, kappa: 0.6981, kb_relative_information_score: 630.9637, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8886, predictive_accuracy: 0.8738, prior_entropy: 0.9313, recall: 0.8738, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7654, scimark_benchmark: 1230.5379, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9763, kappa: 0.9476, kb_relative_information_score: 1373.7167, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 0.9313, recall: 0.9763, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4364, scimark_benchmark: 1220.6062, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9856, kappa: 0.9682, kb_relative_information_score: 1159.1641, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9313, recall: 0.9856, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5264, scimark_benchmark: 1236.4323, usercpu_time_millis: 11.753, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 11.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1734.5967, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2054, scimark_benchmark: 1223.711, usercpu_time_millis: 75.514, usercpu_time_millis_testing: 2.796, usercpu_time_millis_training: 72.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1718.0335, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2219, scimark_benchmark: 1228.6299, usercpu_time_millis: 4.04, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 3.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7981, kappa: 0.5444, kb_relative_information_score: 532.3853, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8528, predictive_accuracy: 0.8181, prior_entropy: 0.9313, recall: 0.8181, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8045, scimark_benchmark: 1235.5377, usercpu_time_millis: 27.682, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 24.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1595.1771, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2918, scimark_benchmark: 1238.8915, usercpu_time_millis: 7.282, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 6.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8917, kappa: 0.7557, kb_relative_information_score: 802.3301, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9075, predictive_accuracy: 0.8964, prior_entropy: 0.9313, recall: 0.8964, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6978, scimark_benchmark: 1228.6899, usercpu_time_millis: 42.216, usercpu_time_millis_testing: 3.777, usercpu_time_millis_training: 38.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9778, kappa: 0.9509, kb_relative_information_score: 1194.373, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9313, recall: 0.9778, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5155, scimark_benchmark: 1230.7468, usercpu_time_millis: 36.604, usercpu_time_millis_testing: 2.512, usercpu_time_millis_training: 34.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9706, kappa: 0.935, kb_relative_information_score: 980.8669, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 0.9313, recall: 0.9706, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6111, scimark_benchmark: 1217.9591, usercpu_time_millis: 34.429, usercpu_time_millis_testing: 2.43, usercpu_time_millis_training: 31.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8053, kappa: 0.5605, kb_relative_information_score: 541.0944, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8566, predictive_accuracy: 0.8238, prior_entropy: 0.9313, recall: 0.8238, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.801, scimark_benchmark: 1247.1425, usercpu_time_millis: 16.678, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 15.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8548, kappa: 0.6716, kb_relative_information_score: 703.79, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8827, predictive_accuracy: 0.864, prior_entropy: 0.9313, recall: 0.864, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7395, scimark_benchmark: 1237.708, usercpu_time_millis: 28.246, usercpu_time_millis_testing: 2.964, usercpu_time_millis_training: 25.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1557.8118, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.319, scimark_benchmark: 1234.2449, usercpu_time_millis: 14.307, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 13.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9731, kappa: 0.9404, kb_relative_information_score: 1036.841, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9313, recall: 0.9732, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5839, scimark_benchmark: 1236.3412, usercpu_time_millis: 26.516, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 24.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8003, kappa: 0.5495, kb_relative_information_score: 531.7153, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8557, predictive_accuracy: 0.8202, prior_entropy: 0.9313, recall: 0.8202, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8044, scimark_benchmark: 1239.665, usercpu_time_millis: 22.94, usercpu_time_millis_testing: 2.218, usercpu_time_millis_training: 20.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1531.3683, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3327, scimark_benchmark: 1205.2563, usercpu_time_millis: 98.577, usercpu_time_millis_testing: 5.587, usercpu_time_millis_training: 92.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1462.3288, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3746, scimark_benchmark: 1231.5414, usercpu_time_millis: 22.085, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 20.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9793, kappa: 0.9541, kb_relative_information_score: 1230.3038, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9313, recall: 0.9794, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5037, scimark_benchmark: 1217.3238, usercpu_time_millis: 75.407, usercpu_time_millis_testing: 6.253, usercpu_time_millis_training: 69.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9529, kappa: 0.8955, kb_relative_information_score: 999.9801, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.9313, recall: 0.9531, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6081, scimark_benchmark: 1230.2333, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9892, kappa: 0.9761, kb_relative_information_score: 1349.5538, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9313, recall: 0.9892, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4299, scimark_benchmark: 1230.2432, usercpu_time_millis: 90.333, usercpu_time_millis_testing: 4.954, usercpu_time_millis_training: 85.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.903, kappa: 0.7813, kb_relative_information_score: 856.1392, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9163, predictive_accuracy: 0.9067, prior_entropy: 0.9313, recall: 0.9067, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6748, scimark_benchmark: 1225.1482, usercpu_time_millis: 76.597, usercpu_time_millis_testing: 7.204, usercpu_time_millis_training: 69.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9845, kappa: 0.9657, kb_relative_information_score: 1273.592, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 0.9313, recall: 0.9845, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4754, scimark_benchmark: 1234.6175, usercpu_time_millis: 80.932, usercpu_time_millis_testing: 5.472, usercpu_time_millis_training: 75.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1724.5603, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2126, scimark_benchmark: 1224.6148, usercpu_time_millis: 56.715, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 53.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1606.525, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.2893, scimark_benchmark: 1226.3355, usercpu_time_millis: 36.877, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 34.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9809, kappa: 0.9576, kb_relative_information_score: 1244.8419, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 0.9313, recall: 0.9809, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.495, scimark_benchmark: 1235.6889, usercpu_time_millis: 58.108, usercpu_time_millis_testing: 4.258, usercpu_time_millis_training: 53.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8615, kappa: 0.6869, kb_relative_information_score: 667.576, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8834, predictive_accuracy: 0.8691, prior_entropy: 0.9313, recall: 0.8691, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.752, scimark_benchmark: 1239.2104, usercpu_time_millis: 28.943, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 26.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.945, kappa: 0.8772, kb_relative_information_score: 755.3054, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9478, predictive_accuracy: 0.9459, prior_entropy: 0.9313, recall: 0.9459, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7129, scimark_benchmark: 1240.1019, usercpu_time_millis: 26.062, usercpu_time_millis_testing: 1.843, usercpu_time_millis_training: 24.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9663, kappa: 0.9252, kb_relative_information_score: 1046.9123, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 0.9313, recall: 0.9665, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5879, scimark_benchmark: 1228.2544, usercpu_time_millis: 35.755, usercpu_time_millis_testing: 3.257, usercpu_time_millis_training: 32.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1635.7599, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2683, scimark_benchmark: 1223.4576, usercpu_time_millis: 101.467, usercpu_time_millis_testing: 5.374, usercpu_time_millis_training: 96.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1467.7547, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3623, scimark_benchmark: 1234.8405, usercpu_time_millis: 78.741, usercpu_time_millis_testing: 3.846, usercpu_time_millis_training: 74.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9819, kappa: 0.9601, kb_relative_information_score: 1086.6906, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9313, recall: 0.982, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.564, scimark_benchmark: 1234.2144, usercpu_time_millis: 21.637, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 20.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9337, kappa: 0.8514, kb_relative_information_score: 776.9563, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9384, predictive_accuracy: 0.9351, prior_entropy: 0.9313, recall: 0.9351, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7031, scimark_benchmark: 1217.1116, usercpu_time_millis: 17.132, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 15.66,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9726, kappa: 0.9393, kb_relative_information_score: 1177.0147, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9313, recall: 0.9727, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5261, scimark_benchmark: 1234.3434, usercpu_time_millis: 17.702, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 16.39,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9705, kappa: 0.9346, kb_relative_information_score: 1142.8705, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9708, predictive_accuracy: 0.9706, prior_entropy: 0.9313, recall: 0.9706, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5443, scimark_benchmark: 1238.2455, usercpu_time_millis: 51.684, usercpu_time_millis_testing: 4.5, usercpu_time_millis_training: 47.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8246, kappa: 0.6034, kb_relative_information_score: 558.8068, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8676, predictive_accuracy: 0.8393, prior_entropy: 0.9313, recall: 0.8393, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.794, scimark_benchmark: 1229.1077, usercpu_time_millis: 6.165, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 5.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1616.6096, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2765, scimark_benchmark: 1232.0959, usercpu_time_millis: 47.82, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 45.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9319, kappa: 0.8473, kb_relative_information_score: 770.2304, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9378, predictive_accuracy: 0.9335, prior_entropy: 0.9313, recall: 0.9335, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7065, scimark_benchmark: 1214.7207, usercpu_time_millis: 19.658, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 18.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8975, kappa: 0.7693, kb_relative_information_score: 801.2555, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9078, predictive_accuracy: 0.9011, prior_entropy: 0.9313, recall: 0.9011, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995, scimark_benchmark: 1234.9112, usercpu_time_millis: 16.289, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 14.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9825, kappa: 0.9613, kb_relative_information_score: 1236.4485, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4908, scimark_benchmark: 1230.641, usercpu_time_millis: 65.235, usercpu_time_millis_testing: 4.107, usercpu_time_millis_training: 61.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7985, kappa: 0.5455, kb_relative_information_score: 524.2082, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.854, predictive_accuracy: 0.8187, prior_entropy: 0.9313, recall: 0.8187, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8075, scimark_benchmark: 1241.5772, usercpu_time_millis: 17.065, usercpu_time_millis_testing: 1.652, usercpu_time_millis_training: 15.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8649, kappa: 0.6945, kb_relative_information_score: 728.5099, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8896, predictive_accuracy: 0.8727, prior_entropy: 0.9313, recall: 0.8727, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7286, scimark_benchmark: 1223.2174, usercpu_time_millis: 62.423, usercpu_time_millis_testing: 5.173, usercpu_time_millis_training: 57.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1774.1336, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1781, scimark_benchmark: 1229.0857, usercpu_time_millis: 131.761, usercpu_time_millis_testing: 5.008, usercpu_time_millis_training: 126.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.5163, kb_relative_information_score: 138.8296, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.945, scimark_benchmark: 1227.8392, usercpu_time_millis: 15.634, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 13.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9586, kappa: 0.9083, kb_relative_information_score: 910.8542, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9587, predictive_accuracy: 0.9588, prior_entropy: 0.9313, recall: 0.9588, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6463, scimark_benchmark: 1239.9423, usercpu_time_millis: 4.859, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 4.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9525, kappa: 0.894, kb_relative_information_score: 821.0254, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 0.9313, recall: 0.9531, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6837, scimark_benchmark: 1231.2627, usercpu_time_millis: 9.387, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 8.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9552, kappa: 0.9002, kb_relative_information_score: 973.4392, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9566, predictive_accuracy: 0.9557, prior_entropy: 0.9313, recall: 0.9557, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6219, scimark_benchmark: 1231.555, usercpu_time_millis: 36.998, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 33.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1654.7493, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2584, scimark_benchmark: 1241.0947, usercpu_time_millis: 82.044, usercpu_time_millis_testing: 4.622, usercpu_time_millis_training: 77.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8318, kappa: 0.6196, kb_relative_information_score: 602.2028, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8702, predictive_accuracy: 0.8449, prior_entropy: 0.9313, recall: 0.8449, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7795, scimark_benchmark: 1232.4716, usercpu_time_millis: 35.91, usercpu_time_millis_testing: 3.905, usercpu_time_millis_training: 32.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9772, kappa: 0.9495, kb_relative_information_score: 1214.0297, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9775, predictive_accuracy: 0.9773, prior_entropy: 0.9313, recall: 0.9773, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.512, scimark_benchmark: 1220.3224, usercpu_time_millis: 77.893, usercpu_time_millis_testing: 6.048, usercpu_time_millis_training: 71.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1650.4344, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2597, scimark_benchmark: 1228.2847, usercpu_time_millis: 28.529, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 27.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9788, kappa: 0.953, kb_relative_information_score: 1317.0666, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9313, recall: 0.9789, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4613, scimark_benchmark: 1234.5791, usercpu_time_millis: 15.669, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 14.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8823, kappa: 0.7342, kb_relative_information_score: 779.8526, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.902, predictive_accuracy: 0.8882, prior_entropy: 0.9313, recall: 0.8882, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7075, scimark_benchmark: 1229.3344, usercpu_time_millis: 54.14, usercpu_time_millis_testing: 5.204, usercpu_time_millis_training: 48.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1745.3399, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2052, scimark_benchmark: 1224.1575, usercpu_time_millis: 6.363, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 6.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8477, kappa: 0.6554, kb_relative_information_score: 636.9314, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8807, predictive_accuracy: 0.8583, prior_entropy: 0.9313, recall: 0.8583, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.766, scimark_benchmark: 1243.2336, usercpu_time_millis: 5.475, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 4.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9271, kappa: 0.8363, kb_relative_information_score: 760.4018, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9334, predictive_accuracy: 0.9289, prior_entropy: 0.9313, recall: 0.9289, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7107, scimark_benchmark: 1220.2426, usercpu_time_millis: 4.477, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 3.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9746, kappa: 0.9438, kb_relative_information_score: 998.666, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9313, recall: 0.9748, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6075, scimark_benchmark: 1233.7126, usercpu_time_millis: 61.956, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 56.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1351.3766, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4283, scimark_benchmark: 1227.9309, usercpu_time_millis: 61.659, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 58.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9778, kappa: 0.9509, kb_relative_information_score: 1068.3276, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9313, recall: 0.9778, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5737, scimark_benchmark: 1237.6062, usercpu_time_millis: 33.528, usercpu_time_millis_testing: 2.419, usercpu_time_millis_training: 31.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9855, kappa: 0.968, kb_relative_information_score: 1460.9965, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9313, recall: 0.9856, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3763, scimark_benchmark: 1226.3263, usercpu_time_millis: 46.003, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 42.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5163, kb_relative_information_score: -0.2527, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1234.8403, usercpu_time_millis: 11.934, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 10.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9552, kappa: 0.9, kb_relative_information_score: 802.0209, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9568, predictive_accuracy: 0.9557, prior_entropy: 0.9313, recall: 0.9557, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6923, scimark_benchmark: 1236.439, usercpu_time_millis: 35.261, usercpu_time_millis_testing: 3.263, usercpu_time_millis_training: 31.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1564.0389, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.3095, scimark_benchmark: 1226.9055, usercpu_time_millis: 33.864, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 31.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1460.5186, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3681, scimark_benchmark: 1229.0014, usercpu_time_millis: 5.106, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 4.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8678, kappa: 0.701, kb_relative_information_score: 739.8088, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8919, predictive_accuracy: 0.8753, prior_entropy: 0.9313, recall: 0.8753, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7247, scimark_benchmark: 1237.068, usercpu_time_millis: 27.838, usercpu_time_millis_testing: 2.625, usercpu_time_millis_training: 25.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9741, kappa: 0.9427, kb_relative_information_score: 1043.9019, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 0.9313, recall: 0.9742, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5868, scimark_benchmark: 1226.1944, usercpu_time_millis: 28.522, usercpu_time_millis_testing: 2.502, usercpu_time_millis_training: 26.02,

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