OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14181 runs submitted
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14181 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3999, kb_relative_information_score: -281.4285, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.722, kappa: 0.442, kb_relative_information_score: 27006.2715, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6539, kappa: 0.3069, kb_relative_information_score: 14896.9645, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6589, predictive_accuracy: 0.6578, prior_entropy: 0.9976, recall: 0.6578, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7217, kappa: 0.4415, kb_relative_information_score: 26404.793, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7179, kappa: 0.4336, kb_relative_information_score: 22376.1101, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.718, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6458, kappa: 0.2889, kb_relative_information_score: 5184.9514, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6457, predictive_accuracy: 0.6462, prior_entropy: 0.9976, recall: 0.6462, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7205, kappa: 0.4389, kb_relative_information_score: 5855.8456, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 27047.1625, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7189, kappa: 0.4359, kb_relative_information_score: 26496.708, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7148, kappa: 0.4275, kb_relative_information_score: 27899.7294, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7147, predictive_accuracy: 0.7149, prior_entropy: 0.9976, recall: 0.7149, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7023, kappa: 0.4025, kb_relative_information_score: 27471.5601, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7022, predictive_accuracy: 0.7024, prior_entropy: 0.9976, recall: 0.7024, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.654, kappa: 0.3053, kb_relative_information_score: 9803.2761, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.654, predictive_accuracy: 0.6545, prior_entropy: 0.9976, recall: 0.6545, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.721, kappa: 0.4398, kb_relative_information_score: 5656.2771, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4388, kb_relative_information_score: -74.8933, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7189, kappa: 0.4359, kb_relative_information_score: 26722.0564, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 24891.8867, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3927, kb_relative_information_score: -277.1465, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.6981, kappa: 0.3937, kb_relative_information_score: 1989.6711, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6982, predictive_accuracy: 0.6986, prior_entropy: 0.9976, recall: 0.6986, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6386, kappa: 0.3154, kb_relative_information_score: -44.1254, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.692, predictive_accuracy: 0.6505, prior_entropy: 0.9976, recall: 0.6505, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7162, kappa: 0.4303, kb_relative_information_score: 27728.3853, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7162, prior_entropy: 0.9976, recall: 0.7162, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7177, kappa: 0.4334, kb_relative_information_score: 27613.5706, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7178, prior_entropy: 0.9976, recall: 0.7178, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6869, kappa: 0.3726, kb_relative_information_score: 3818.5086, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6875, predictive_accuracy: 0.6867, prior_entropy: 0.9976, recall: 0.6867, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.718, kappa: 0.434, kb_relative_information_score: 26477.5875, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7077, kappa: 0.4132, kb_relative_information_score: 7458.3256, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.7079, prior_entropy: 0.9976, recall: 0.7079, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6409, kappa: 0.2807, kb_relative_information_score: 12508.8505, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6452, predictive_accuracy: 0.6448, prior_entropy: 0.9976, recall: 0.6448, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7213, kappa: 0.4408, kb_relative_information_score: 26878.2766, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7188, kappa: 0.4357, kb_relative_information_score: 26532.2441, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 26779.1711, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.3898, kappa: 0.0088, kb_relative_information_score: 434.339, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5426, predictive_accuracy: 0.5313, prior_entropy: 0.9976, recall: 0.5313, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.6418, kappa: 0.2811, kb_relative_information_score: 1046.2683, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6417, predictive_accuracy: 0.6419, prior_entropy: 0.9976, recall: 0.6419, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7199, kappa: 0.4379, kb_relative_information_score: 26026.8805, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7174, kappa: 0.4329, kb_relative_information_score: 27680.3697, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7174, predictive_accuracy: 0.7175, prior_entropy: 0.9976, recall: 0.7175, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 25734.9953, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 27378.6163, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7221, kappa: 0.4424, kb_relative_information_score: 27674.0067, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7152, kappa: 0.4282, kb_relative_information_score: -14.5228, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7152, predictive_accuracy: 0.7154, prior_entropy: 0.9976, recall: 0.7154, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.3662, kappa: 0.0005, kb_relative_information_score: -2.0591, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.63, predictive_accuracy: 0.5288, prior_entropy: 0.9976, recall: 0.5288, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, kb_relative_information_score: -48.5816, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4925, kappa: 0.0011, kb_relative_information_score: -181.1969, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5023, predictive_accuracy: 0.5117, prior_entropy: 0.9976, recall: 0.5117, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7205, kappa: 0.4391, kb_relative_information_score: 27366.4255, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7188, kappa: 0.4356, kb_relative_information_score: 26181.7993, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7091, kappa: 0.4162, kb_relative_information_score: 27590.1963, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7091, predictive_accuracy: 0.7093, prior_entropy: 0.9976, recall: 0.7093, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7194, kappa: 0.437, kb_relative_information_score: 26591.3692, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6484, kappa: 0.2942, kb_relative_information_score: 3735.792, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6483, predictive_accuracy: 0.6486, prior_entropy: 0.9976, recall: 0.6486, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.4635, kappa: 0.0042, kb_relative_information_score: -190.2271, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.505, predictive_accuracy: 0.5205, prior_entropy: 0.9976, recall: 0.5205, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7202, kappa: 0.4382, kb_relative_information_score: 23919.3565, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.3662, kappa: 0.0005, kb_relative_information_score: 9.1425, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6516, predictive_accuracy: 0.5288, prior_entropy: 0.9976, recall: 0.5288, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.6373, kappa: 0.2746, kb_relative_information_score: 11498.277, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6433, predictive_accuracy: 0.6423, prior_entropy: 0.9976, recall: 0.6423, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.6172, kappa: 0.2329, kb_relative_information_score: 9832.7355, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6203, predictive_accuracy: 0.6209, prior_entropy: 0.9976, recall: 0.6209, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4725, f_measure: 0.4623, kappa: -0.0104, kb_relative_information_score: -364.0079, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4939, predictive_accuracy: 0.5123, prior_entropy: 0.9976, recall: 0.5123, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7225, kappa: 0.4429, kb_relative_information_score: 8395.5164, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6541, kappa: 0.3065, kb_relative_information_score: 14483.6088, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6575, predictive_accuracy: 0.6571, prior_entropy: 0.9976, recall: 0.6571, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7194, kappa: 0.4368, kb_relative_information_score: 27400.2892, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.719, kappa: 0.4361, kb_relative_information_score: 26706.2119, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7112, kappa: 0.4204, kb_relative_information_score: 27295.1215, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7111, predictive_accuracy: 0.7113, prior_entropy: 0.9976, recall: 0.7113, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.713, kappa: 0.4238, kb_relative_information_score: 75.682, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.713, predictive_accuracy: 0.7133, prior_entropy: 0.9976, recall: 0.7133, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7004, kappa: 0.3986, kb_relative_information_score: 7204.0107, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7004, predictive_accuracy: 0.7007, prior_entropy: 0.9976, recall: 0.7007, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7065, kappa: 0.4108, kb_relative_information_score: 2376.6232, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7065, predictive_accuracy: 0.7069, prior_entropy: 0.9976, recall: 0.7069, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6849, kappa: 0.3673, kb_relative_information_score: 427.1948, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6853, predictive_accuracy: 0.6857, prior_entropy: 0.9976, recall: 0.6857, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6911, kappa: 0.3796, kb_relative_information_score: 142.6831, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6912, predictive_accuracy: 0.6916, prior_entropy: 0.9976, recall: 0.6916, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7073, kappa: 0.4125, kb_relative_information_score: 2607.1037, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7073, predictive_accuracy: 0.7075, prior_entropy: 0.9976, recall: 0.7075, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 27022.6233, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6295, kappa: 0.2581, kb_relative_information_score: 11097.9875, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6339, predictive_accuracy: 0.6337, prior_entropy: 0.9976, recall: 0.6337, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6334, kappa: 0.2642, kb_relative_information_score: 2213.2377, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6333, predictive_accuracy: 0.6336, prior_entropy: 0.9976, recall: 0.6336, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.715, kappa: 0.428, kb_relative_information_score: 27649.5549, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6051, kappa: 0.2125, kb_relative_information_score: 5894.2882, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6133, predictive_accuracy: 0.6126, prior_entropy: 0.9976, recall: 0.6126, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7191, kappa: 0.4362, kb_relative_information_score: 27369.7074, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7188, kappa: 0.4353, kb_relative_information_score: 5057.0902, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7192, kappa: 0.4363, kb_relative_information_score: 6285.0024, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.5942, kappa: 0.1851, kb_relative_information_score: 7197.3555, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5941, predictive_accuracy: 0.5949, prior_entropy: 0.9976, recall: 0.5949, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7097, kappa: 0.4171, kb_relative_information_score: 18028.3568, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7105, predictive_accuracy: 0.7106, prior_entropy: 0.9976, recall: 0.7106, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6762, kappa: 0.35, kb_relative_information_score: 84.086, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6761, predictive_accuracy: 0.6764, prior_entropy: 0.9976, recall: 0.6764, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7226, kappa: 0.443, kb_relative_information_score: 6916.1357, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7226, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.951,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7208, kappa: 0.4398, kb_relative_information_score: 26615.8351, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6145, kappa: 0.2277, kb_relative_information_score: 9493.9076, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6178, predictive_accuracy: 0.6184, prior_entropy: 0.9976, recall: 0.6184, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.6518, kappa: 0.3048, kb_relative_information_score: 2602.1549, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6604, predictive_accuracy: 0.6576, prior_entropy: 0.9976, recall: 0.6576, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9809,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.3674, kappa: 0.0014, kb_relative_information_score: 46.0997, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6384, predictive_accuracy: 0.5292, prior_entropy: 0.9976, recall: 0.5292, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7157, kappa: 0.4294, kb_relative_information_score: 14843.3069, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.5954, kappa: 0.1875, kb_relative_information_score: 7169.8668, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5955, predictive_accuracy: 0.5967, prior_entropy: 0.9976, recall: 0.5967, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 27411.3855, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6886, kappa: 0.3746, kb_relative_information_score: 255.7025, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6888, predictive_accuracy: 0.6892, prior_entropy: 0.9976, recall: 0.6892, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6871, kappa: 0.3718, kb_relative_information_score: 6836.88, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.687, predictive_accuracy: 0.6873, prior_entropy: 0.9976, recall: 0.6873, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7173, kappa: 0.4327, kb_relative_information_score: 27455.4003, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7173, predictive_accuracy: 0.7173, prior_entropy: 0.9976, recall: 0.7173, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.5942, kappa: 0.1867, kb_relative_information_score: 7265.3764, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5948, predictive_accuracy: 0.5939, prior_entropy: 0.9976, recall: 0.5939, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 26724.8771, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6953, kappa: 0.3883, kb_relative_information_score: 1519.5841, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6952, predictive_accuracy: 0.6955, prior_entropy: 0.9976, recall: 0.6955, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7121, kappa: 0.4222, kb_relative_information_score: 27668.8138, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7121, predictive_accuracy: 0.7122, prior_entropy: 0.9976, recall: 0.7122, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6934, kappa: 0.3843, kb_relative_information_score: -355.2319, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6934, predictive_accuracy: 0.6938, prior_entropy: 0.9976, recall: 0.6938, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0008,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs