Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 9900 Supervised Classification abalone 144 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.5707, kappa: 0.3657, kb_relative_information_score: 1747.249, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5675, predictive_accuracy: 0.5777, prior_entropy: 1.584, recall: 0.5777, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6155, kappa: 0.4271, kb_relative_information_score: 1773.4144, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6133, predictive_accuracy: 0.6186, prior_entropy: 1.584, recall: 0.6186, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642979/Run_1847165_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642969/Run_1847160_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4641381/Run_1846384_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4641371/Run_1846379_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.6078, kappa: 0.4187, kb_relative_information_score: 1510.8763, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6045, predictive_accuracy: 0.6134, prior_entropy: 1.584, recall: 0.6134, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.6243, kappa: 0.4367, kb_relative_information_score: 1712.1174, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6245, predictive_accuracy: 0.6246, prior_entropy: 1.584, recall: 0.6246, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.5836, kappa: 0.374, kb_relative_information_score: 1784.4776, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5849, predictive_accuracy: 0.5827, prior_entropy: 1.584, recall: 0.5827, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.6334, kappa: 0.4554, kb_relative_information_score: 2095.1951, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6311, predictive_accuracy: 0.6375, prior_entropy: 1.584, recall: 0.6375, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6264, kappa: 0.4411, kb_relative_information_score: 2040.1871, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6253, predictive_accuracy: 0.6277, prior_entropy: 1.584, recall: 0.6277, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.641, kappa: 0.4592, kb_relative_information_score: 2108.5484, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6448, predictive_accuracy: 0.6392, prior_entropy: 1.584, recall: 0.6392, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6545, kappa: 0.4841, kb_relative_information_score: 2204.049, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.653, predictive_accuracy: 0.6565, prior_entropy: 1.584, recall: 0.6565, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6283, kappa: 0.4485, kb_relative_information_score: 2068.7926, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6273, predictive_accuracy: 0.6328, prior_entropy: 1.584, recall: 0.6328, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.628, kappa: 0.4445, kb_relative_information_score: 2053.4243, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6264, predictive_accuracy: 0.6301, prior_entropy: 1.584, recall: 0.6301, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.6336, kappa: 0.4507, kb_relative_information_score: 2076.6185, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6332, predictive_accuracy: 0.6342, prior_entropy: 1.584, recall: 0.6342, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.6597, kappa: 0.4865, kb_relative_information_score: 2212.7311, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6639, predictive_accuracy: 0.6574, prior_entropy: 1.584, recall: 0.6574, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6526, kappa: 0.4788, kb_relative_information_score: 2183.8968, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6523, predictive_accuracy: 0.6529, prior_entropy: 1.584, recall: 0.6529, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0209, usercpu_time_millis: 536.682, usercpu_time_millis_testing: 59.042, usercpu_time_millis_training: 477.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6485, kappa: 0.4733, kb_relative_information_score: 2162.9622, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6479, predictive_accuracy: 0.6493, prior_entropy: 1.584, recall: 0.6493, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0261, usercpu_time_millis: 314.649, usercpu_time_millis_testing: 56.228, usercpu_time_millis_training: 258.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6383, kappa: 0.4635, kb_relative_information_score: 2126.0326, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6357, predictive_accuracy: 0.643, prior_entropy: 1.584, recall: 0.643, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0352, usercpu_time_millis: 259.21, usercpu_time_millis_testing: 3.694, usercpu_time_millis_training: 255.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6313, kappa: 0.4433, kb_relative_information_score: 2047.1826, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6411, predictive_accuracy: 0.6282, prior_entropy: 1.584, recall: 0.6282, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0565, usercpu_time_millis: 118.345, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 117.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6319, kappa: 0.4483, kb_relative_information_score: 2067.7064, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6313, predictive_accuracy: 0.6325, prior_entropy: 1.584, recall: 0.6325, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0503, usercpu_time_millis: 17.002, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 16.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.649, kappa: 0.4753, kb_relative_information_score: 2170.6392, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6477, predictive_accuracy: 0.6507, prior_entropy: 1.584, recall: 0.6507, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.024, usercpu_time_millis: 33.609, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 31.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6622, kappa: 0.4932, kb_relative_information_score: 2238.7746, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.662, predictive_accuracy: 0.6624, prior_entropy: 1.584, recall: 0.6624, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0067, usercpu_time_millis: 19.505, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 18.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6504, kappa: 0.4768, kb_relative_information_score: 2176.4455, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6496, predictive_accuracy: 0.6517, prior_entropy: 1.584, recall: 0.6517, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0226, usercpu_time_millis: 23.732, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 23.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6192, kappa: 0.4384, kb_relative_information_score: 2031.5472, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6169, predictive_accuracy: 0.6268, prior_entropy: 1.584, recall: 0.6268, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0585, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.6221, kappa: 0.4269, kb_relative_information_score: 1984.2748, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6323, predictive_accuracy: 0.6172, prior_entropy: 1.584, recall: 0.6172, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.072, usercpu_time_millis: 4.061, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 3.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5967, kappa: 0.4129, kb_relative_information_score: 1935.2173, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5976, predictive_accuracy: 0.6105, prior_entropy: 1.584, recall: 0.6105, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0814, usercpu_time_millis: 0.821, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.6209, kappa: 0.4293, kb_relative_information_score: 1993.4425, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6386, predictive_accuracy: 0.6184, prior_entropy: 1.584, recall: 0.6184, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0703, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6695, kappa: 0.5031, kb_relative_information_score: 2276.553, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6702, predictive_accuracy: 0.6689, prior_entropy: 1.584, recall: 0.6689, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.997, usercpu_time_millis: 3.593, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 3.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6205, kappa: 0.4292, kb_relative_information_score: 1994.2194, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6216, predictive_accuracy: 0.6196, prior_entropy: 1.584, recall: 0.6196, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0687, usercpu_time_millis: 11.819, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 11.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.5702, kappa: 0.3647, kb_relative_information_score: 1749.1215, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5672, predictive_accuracy: 0.577, prior_entropy: 1.584, recall: 0.577, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1269, usercpu_time_millis: 1.623, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6506, kappa: 0.4783, kb_relative_information_score: 2181.6243, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6501, predictive_accuracy: 0.6524, prior_entropy: 1.584, recall: 0.6524, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0216, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6612, kappa: 0.4911, kb_relative_information_score: 2230.4687, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6616, predictive_accuracy: 0.661, prior_entropy: 1.584, recall: 0.661, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0088, usercpu_time_millis: 10.595, usercpu_time_millis_testing: 2.245, usercpu_time_millis_training: 8.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.6388, kappa: 0.4538, kb_relative_information_score: 2087.4795, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6457, predictive_accuracy: 0.6354, prior_entropy: 1.584, recall: 0.6354, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0462, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.6212, kappa: 0.4417, kb_relative_information_score: 2042.7144, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6179, predictive_accuracy: 0.6287, prior_entropy: 1.584, recall: 0.6287, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0558, usercpu_time_millis: 12.982, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 12.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5855, kappa: 0.3771, kb_relative_information_score: 1796.1232, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5862, predictive_accuracy: 0.5849, prior_entropy: 1.584, recall: 0.5849, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.1164, usercpu_time_millis: 8.281, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 7.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6102, kappa: 0.4259, kb_relative_information_score: 1987.2395, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.628, predictive_accuracy: 0.6196, prior_entropy: 1.584, recall: 0.6196, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0687, usercpu_time_millis: 4.159, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6041, kappa: 0.4069, kb_relative_information_score: 1910.0207, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6034, predictive_accuracy: 0.605, prior_entropy: 1.584, recall: 0.605, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.089, usercpu_time_millis: 0.652, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6155, kappa: 0.4271, kb_relative_information_score: 1987.3499, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6133, predictive_accuracy: 0.6186, prior_entropy: 1.584, recall: 0.6186, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.07, usercpu_time_millis: 1.911, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5858, kappa: 0.3904, kb_relative_information_score: 1848.2563, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5836, predictive_accuracy: 0.5952, prior_entropy: 1.584, recall: 0.5952, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.1024, usercpu_time_millis: 4.541, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 4.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.669, kappa: 0.5037, kb_relative_information_score: 2278.5876, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6687, predictive_accuracy: 0.6694, prior_entropy: 1.584, recall: 0.6694, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9963, usercpu_time_millis: 18.796, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 18.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.6399, kappa: 0.4542, kb_relative_information_score: 2089.5281, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.646, predictive_accuracy: 0.6359, prior_entropy: 1.584, recall: 0.6359, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0455, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6155, kappa: 0.4271, kb_relative_information_score: 1773.4144, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6133, predictive_accuracy: 0.6186, prior_entropy: 1.584, recall: 0.6186, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9398,

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