OpenML
Supervised Classification on pasture

Supervised Classification on pasture

Task 4203 Supervised Classification pasture 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7847, kappa: 0.675, kb_relative_information_score: 248.316, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7867, predictive_accuracy: 0.7833, prior_entropy: 1.585, recall: 0.7833, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7298, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8796, kappa: 0.8208, kb_relative_information_score: 289.8074, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8873, predictive_accuracy: 0.8806, prior_entropy: 1.585, recall: 0.8806, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5749, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.7817, kappa: 0.6792, kb_relative_information_score: 206.1177, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7816, predictive_accuracy: 0.7861, prior_entropy: 1.585, recall: 0.7861, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6813, scimark_benchmark: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7222, kappa: 0.5833, kb_relative_information_score: 219.6187, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8871, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8286, kappa: 0.75, kb_relative_information_score: 198.3069, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.831, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6605, scimark_benchmark: 1352.2274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7847, kappa: 0.675, kb_relative_information_score: 248.316, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7867, predictive_accuracy: 0.7833, prior_entropy: 1.585, recall: 0.7833, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7298, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7622, kappa: 0.65, kb_relative_information_score: 239.3636, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7617, predictive_accuracy: 0.7667, prior_entropy: 1.585, recall: 0.7667, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7667, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7861, kappa: 0.6833, kb_relative_information_score: 232.345, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.786, predictive_accuracy: 0.7889, prior_entropy: 1.585, recall: 0.7889, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6975, scimark_benchmark: 1332.6143, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 1349.7981, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 31.4231, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7567, kappa: 0.65, kb_relative_information_score: 220.8242, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7809, predictive_accuracy: 0.7667, prior_entropy: 1.585, recall: 0.7667, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7551, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8095, kappa: 0.725, kb_relative_information_score: 198.3465, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.814, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6565, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7408, kappa: 0.6083, kb_relative_information_score: 232.0487, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7432, predictive_accuracy: 0.7389, prior_entropy: 1.585, recall: 0.7389, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8703, scimark_benchmark: 1314.7093, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.719, kappa: 0.5833, kb_relative_information_score: 134.7097, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.717, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.803, scimark_benchmark: 1345.7634, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.6916, kappa: 0.5375, kb_relative_information_score: 206.5244, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6917, predictive_accuracy: 0.6917, prior_entropy: 1.585, recall: 0.6917, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9218, scimark_benchmark: 961.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7475, kappa: 0.6167, kb_relative_information_score: 232.5752, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7521, predictive_accuracy: 0.7444, prior_entropy: 1.585, recall: 0.7444, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8447, scimark_benchmark: 1320.4762, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7032, kappa: 0.55, kb_relative_information_score: 201.5927, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7219, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9115, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7032, kappa: 0.55, kb_relative_information_score: 212.1404, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7219, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9487, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6378, kappa: 0.4458, kb_relative_information_score: 177.9137, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6532, predictive_accuracy: 0.6306, prior_entropy: 1.585, recall: 0.6306, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0528, scimark_benchmark: 1340.4336, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6009, kappa: 0.425, kb_relative_information_score: 194.8067, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6123, predictive_accuracy: 0.6167, prior_entropy: 1.585, recall: 0.6167, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7441, scimark_benchmark: 1264.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.587, kappa: 0.4125, kb_relative_information_score: 132.0274, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.59, predictive_accuracy: 0.6083, prior_entropy: 1.585, recall: 0.6083, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8729, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.7986, kappa: 0.7083, kb_relative_information_score: 196.635, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8015, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6598, scimark_benchmark: 1059.8591, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8019, kappa: 0.7125, kb_relative_information_score: 197.8608, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8045, predictive_accuracy: 0.8083, prior_entropy: 1.585, recall: 0.8083, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6579, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8158, kappa: 0.7292, kb_relative_information_score: 198.1463, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8155, predictive_accuracy: 0.8194, prior_entropy: 1.585, recall: 0.8194, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6694, scimark_benchmark: 1059.8591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8166, kappa: 0.725, kb_relative_information_score: 267.9187, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.817, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7257, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8022, kappa: 0.7042, kb_relative_information_score: 263.6981, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8044, predictive_accuracy: 0.8028, prior_entropy: 1.585, recall: 0.8028, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6747, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.7732, kappa: 0.6667, kb_relative_information_score: 204.3994, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7721, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6765, scimark_benchmark: 1351.6526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.7728, kappa: 0.6667, kb_relative_information_score: 205.5086, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7726, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6766, scimark_benchmark: 1307.8606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.6595, kappa: 0.4917, kb_relative_information_score: 195.268, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6638, predictive_accuracy: 0.6611, prior_entropy: 1.585, recall: 0.6611, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9483, scimark_benchmark: 1319.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.6931, kappa: 0.5333, kb_relative_information_score: 202.964, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7015, predictive_accuracy: 0.6889, prior_entropy: 1.585, recall: 0.6889, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8817, scimark_benchmark: 1358.509, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7538, kappa: 0.6333, kb_relative_information_score: 235.1689, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7581, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8056, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6844, kappa: 0.5292, kb_relative_information_score: 204.0486, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6838, predictive_accuracy: 0.6861, prior_entropy: 1.585, recall: 0.6861, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9213, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.6912, kappa: 0.5375, kb_relative_information_score: 202.7062, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6911, predictive_accuracy: 0.6917, prior_entropy: 1.585, recall: 0.6917, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9304, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6052, kappa: 0.4, kb_relative_information_score: 164.0223, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6141, predictive_accuracy: 0.6, prior_entropy: 1.585, recall: 0.6, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0765, scimark_benchmark: 1331.482, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.5197, kappa: 0.2875, kb_relative_information_score: 125.889, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.5156, predictive_accuracy: 0.525, prior_entropy: 1.585, recall: 0.525, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1937, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6722, kappa: 0.4958, kb_relative_information_score: 41.6544, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6922, predictive_accuracy: 0.6639, prior_entropy: 1.585, recall: 0.6639, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9375, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.75, kappa: 0.6333, kb_relative_information_score: 237.4002, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7479, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8161, scimark_benchmark: 1342.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7194, kappa: 0.5792, kb_relative_information_score: 218.8016, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8896, scimark_benchmark: 1419.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8108, kappa: 0.7167, kb_relative_information_score: 264.9531, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8121, predictive_accuracy: 0.8111, prior_entropy: 1.585, recall: 0.8111, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7053, scimark_benchmark: 1276.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.7727, kappa: 0.6667, kb_relative_information_score: 203.9662, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7719, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6754, scimark_benchmark: 1342.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.6325, kappa: 0.4917, kb_relative_information_score: 141.6381, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6317, predictive_accuracy: 0.6611, prior_entropy: 1.585, recall: 0.6611, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9397, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.741, kappa: 0.6167, kb_relative_information_score: 215.8633, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7417, predictive_accuracy: 0.7444, prior_entropy: 1.585, recall: 0.7444, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7929, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.5852, kappa: 0.4167, kb_relative_information_score: 206.7177, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.5926, predictive_accuracy: 0.6111, prior_entropy: 1.585, recall: 0.6111, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7131, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8011, kappa: 0.7, kb_relative_information_score: 262.6315, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8031, predictive_accuracy: 0.8, prior_entropy: 1.585, recall: 0.8, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.755, scimark_benchmark: 889.3151, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7879, kappa: 0.6875, kb_relative_information_score: 206.1049, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 1.585, recall: 0.7917, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6893, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7334, kappa: 0.6083, kb_relative_information_score: 227.3209, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7311, predictive_accuracy: 0.7389, prior_entropy: 1.585, recall: 0.7389, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8522, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8079, kappa: 0.7125, kb_relative_information_score: 264.6295, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8095, predictive_accuracy: 0.8083, prior_entropy: 1.585, recall: 0.8083, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.728, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.7937, kappa: 0.6917, kb_relative_information_score: 260.6928, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7962, predictive_accuracy: 0.7944, prior_entropy: 1.585, recall: 0.7944, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.724, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.827, kappa: 0.7417, kb_relative_information_score: 268.8353, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8307, predictive_accuracy: 0.8278, prior_entropy: 1.585, recall: 0.8278, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6642, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8191, kappa: 0.7292, kb_relative_information_score: 252.8724, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8207, predictive_accuracy: 0.8194, prior_entropy: 1.585, recall: 0.8194, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7004, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7497, kappa: 0.625, kb_relative_information_score: 224.063, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7119, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6773, kappa: 0.5292, kb_relative_information_score: 173.7777, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6781, predictive_accuracy: 0.6861, prior_entropy: 1.585, recall: 0.6861, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7958, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.6886, kappa: 0.5458, kb_relative_information_score: 197.1288, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.6955, predictive_accuracy: 0.6972, prior_entropy: 1.585, recall: 0.6972, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7588, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.4876, kappa: 0.2208, kb_relative_information_score: 53.3036, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.509, predictive_accuracy: 0.4806, prior_entropy: 1.585, recall: 0.4806, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0908, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7096, kappa: 0.5667, kb_relative_information_score: 154.5655, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7096, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.383, root_relative_squared_error: 0.8125, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.7919, kappa: 0.6917, kb_relative_information_score: 233.5864, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7916, predictive_accuracy: 0.7944, prior_entropy: 1.585, recall: 0.7944, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6844, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.5197, kappa: 0.2875, kb_relative_information_score: 125.889, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.5156, predictive_accuracy: 0.525, prior_entropy: 1.585, recall: 0.525, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1937, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7873, kappa: 0.6792, kb_relative_information_score: 244.294, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7904, predictive_accuracy: 0.7861, prior_entropy: 1.585, recall: 0.7861, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7234, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 1315.3881, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7135, kappa: 0.5708, kb_relative_information_score: 218.9858, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7134, predictive_accuracy: 0.7139, prior_entropy: 1.585, recall: 0.7139, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9265, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7745, kappa: 0.6708, kb_relative_information_score: 233.4558, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8034, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6991, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8819, kappa: 0.825, kb_relative_information_score: 288.8073, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.894, predictive_accuracy: 0.8833, prior_entropy: 1.585, recall: 0.8833, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5449, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7823, kappa: 0.6708, kb_relative_information_score: 251.8435, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7854, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8114, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7051, kappa: 0.5667, kb_relative_information_score: 213.2891, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7012, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9144, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.594, kappa: 0.4, kb_relative_information_score: 162.8539, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.5951, predictive_accuracy: 0.6, prior_entropy: 1.585, recall: 0.6, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0954, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7108, kappa: 0.5708, kb_relative_information_score: 218.9858, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7095, predictive_accuracy: 0.7139, prior_entropy: 1.585, recall: 0.7139, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9265, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.75, kappa: 0.6333, kb_relative_information_score: 237.4002, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7479, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8161, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, build_cpu_time: 0.0904, build_memory: 78236414.1333, f_measure: 0.8352, kappa: 0.75, kb_relative_information_score: 198.2004, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8383, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6787, scimark_benchmark: 944.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, build_cpu_time: 0.1557, build_memory: 132433159.3778, f_measure: 0.8439, kappa: 0.7625, kb_relative_information_score: 199.5452, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8478, predictive_accuracy: 0.8417, prior_entropy: 1.585, recall: 0.8417, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6733, scimark_benchmark: 946.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 0.0675, build_memory: 116390663.1556, f_measure: 0.7548, kappa: 0.6417, kb_relative_information_score: 222.2884, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7521, predictive_accuracy: 0.7611, prior_entropy: 1.585, recall: 0.7611, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6831, scimark_benchmark: 936.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 0.0369, build_memory: 1258820912.7111, f_measure: 0.7466, kappa: 0.6292, kb_relative_information_score: 221.2991, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7434, predictive_accuracy: 0.7528, prior_entropy: 1.585, recall: 0.7528, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6874, scimark_benchmark: 934.5178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 0.0111, build_memory: 1546946283, f_measure: 0.7642, kappa: 0.6542, kb_relative_information_score: 221.4728, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7616, predictive_accuracy: 0.7694, prior_entropy: 1.585, recall: 0.7694, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.69, scimark_benchmark: 939.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 0.0082, build_memory: 3523155355.7556, f_measure: 0.755, kappa: 0.6417, kb_relative_information_score: 219.9995, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7522, predictive_accuracy: 0.7611, prior_entropy: 1.585, recall: 0.7611, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7022, scimark_benchmark: 904.2085,

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