OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 964.7056, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8577, scimark_benchmark: 1733.7531, usercpu_time_millis: 2.967, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1798.0479, usercpu_time_millis: 5.65, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 4.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1732.553, usercpu_time_millis: 2.809, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7411, kappa: 0.478, kb_relative_information_score: 680.3891, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8857, scimark_benchmark: 1737.8652, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1732.8391, usercpu_time_millis: 2.761, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1716.7855, usercpu_time_millis: 4.559, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 3.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1718.2275, usercpu_time_millis: 2.869, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7772, kappa: 0.5506, kb_relative_information_score: 1493.7798, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7777, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 994.037, usercpu_time_millis: 34.737, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 33.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1716.5439, usercpu_time_millis: 4.495, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 3.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.749, kappa: 0.4942, kb_relative_information_score: 1095.0706, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7489, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8403, scimark_benchmark: 1696.4522, usercpu_time_millis: 4.711, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 3.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1712.52, usercpu_time_millis: 4.492, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 3.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1709.809, usercpu_time_millis: 2.806, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1709.0658, usercpu_time_millis: 2.851, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 2.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 764.2793, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.885, scimark_benchmark: 1703.4005, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7643, kappa: 0.5247, kb_relative_information_score: 1596.9344, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8167, scimark_benchmark: 740.0971, usercpu_time_millis: 100.546, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 99.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2119.3416, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1803.2352, usercpu_time_millis: 5.438, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.74, kappa: 0.4766, kb_relative_information_score: 638.8309, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7403, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.893, scimark_benchmark: 1842.1882, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1701.9559, usercpu_time_millis: 4.375, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 3.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7684, kappa: 0.5328, kb_relative_information_score: 1243.7449, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8194, scimark_benchmark: 1728.9971, usercpu_time_millis: 5.25, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 4.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7593, kappa: 0.5146, kb_relative_information_score: 1164.0293, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8303, scimark_benchmark: 1709.9647, usercpu_time_millis: 3.564, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 3.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1732.8983, usercpu_time_millis: 2.652, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1722.377, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7749, kappa: 0.5459, kb_relative_information_score: 1538.2065, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8016, scimark_benchmark: 1725.3999, usercpu_time_millis: 27.015, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 26.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 639.5686, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.896, scimark_benchmark: 1723.2588, usercpu_time_millis: 2.865, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1723.1876, usercpu_time_millis: 3.657, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 2.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.762, kappa: 0.5199, kb_relative_information_score: 1634.0348, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8332, scimark_benchmark: 1705.5669, usercpu_time_millis: 74.987, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 74.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1747.6779, usercpu_time_millis: 2.969, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 2.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1743.5839, usercpu_time_millis: 3.019, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1731.9625, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7789, kappa: 0.5539, kb_relative_information_score: 1401.2668, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7793, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8014, scimark_benchmark: 1732.1638, usercpu_time_millis: 6.87, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 6.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1721.7563, usercpu_time_millis: 2.849, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 2.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1712.1417, usercpu_time_millis: 2.764, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 2.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2116.5157, usercpu_time_millis: 2.413, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 2.007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.738, kappa: 0.4731, kb_relative_information_score: 892.3227, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8642, scimark_benchmark: 1709.9114, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.547,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7759, kappa: 0.548, kb_relative_information_score: 1464.5455, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1728.024, usercpu_time_millis: 14.477, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 14.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 389.1478, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9333, scimark_benchmark: 1732.4995, usercpu_time_millis: 2.962, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7539, kappa: 0.5037, kb_relative_information_score: 919.1473, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8521, scimark_benchmark: 1714.8469, usercpu_time_millis: 3.162, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 2.693,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 587.1911, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9067, scimark_benchmark: 1712.9873, usercpu_time_millis: 2.993, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 2.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7363, kappa: 0.4697, kb_relative_information_score: 968.6799, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8571, scimark_benchmark: 1716.0863, usercpu_time_millis: 3.209, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 2.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7728, kappa: 0.5416, kb_relative_information_score: 1204.4038, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143, scimark_benchmark: 1706.0129, usercpu_time_millis: 5.317, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.807,
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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