Task
Supervised Classification on molecular-biology_promoters

Supervised Classification on molecular-biology_promoters

Task 3819 Supervised Classification molecular-biology_promoters 142 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.3485, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.7337, kappa: 0.3842, kb_relative_information_score: 34.159, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.732, predictive_accuracy: 0.7358, prior_entropy: 0.9088, recall: 0.7358, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5574, kappa: -0.0443, kb_relative_information_score: 0.3912, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5354, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7006, kappa: 0.2894, kb_relative_information_score: 23.4414, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7101, predictive_accuracy: 0.7264, prior_entropy: 0.9088, recall: 0.7264, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5556, kappa: -0.0474, kb_relative_information_score: -1.3821, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5426, predictive_accuracy: 0.5755, prior_entropy: 0.9088, recall: 0.5755, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.6074, kappa: 0.0767, kb_relative_information_score: 0.9688, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5988, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 0.9589, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.2289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6429, kappa: 0.1666, kb_relative_information_score: 15.0365, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6378, predictive_accuracy: 0.6509, prior_entropy: 0.9088, recall: 0.6509, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6656, kappa: 0.2242, kb_relative_information_score: 16.1574, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6624, predictive_accuracy: 0.6698, prior_entropy: 0.9088, recall: 0.6698, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5969, kappa: 0.0437, kb_relative_information_score: 12.2457, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5882, predictive_accuracy: 0.6415, prior_entropy: 0.9088, recall: 0.6415, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.7177, kappa: 0.3315, kb_relative_information_score: 23.3393, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7216, predictive_accuracy: 0.7358, prior_entropy: 0.9088, recall: 0.7358, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 0.8786, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.5495, kb_relative_information_score: -1.5848, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.3485, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.7379, kappa: 0.3793, kb_relative_information_score: 21.4672, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7443, predictive_accuracy: 0.7547, prior_entropy: 0.9088, recall: 0.7547, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1617, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1617, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7201, kappa: 0.3468, kb_relative_information_score: 27.3859, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7173, predictive_accuracy: 0.7264, prior_entropy: 0.9088, recall: 0.7264, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6792, kappa: 0.2639, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6792, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 2.9159, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 2.9159, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.742, kappa: 0.4015, kb_relative_information_score: 31.1673, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.74, predictive_accuracy: 0.7453, prior_entropy: 0.9088, recall: 0.7453, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.6159, kappa: 0.1062, kb_relative_information_score: 9.1646, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6109, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.5914, kappa: 0.0783, kb_relative_information_score: 2.6248, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.791, predictive_accuracy: 0.6981, prior_entropy: 0.9088, recall: 0.6981, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7257, kappa: 0.3498, kb_relative_information_score: 26.9045, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.7333, predictive_accuracy: 0.7453, prior_entropy: 0.9088, recall: 0.7453, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9715,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.742, kappa: 0.4015, kb_relative_information_score: 31.1673, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.74, predictive_accuracy: 0.7453, prior_entropy: 0.9088, recall: 0.7453, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.6159, kappa: 0.1062, kb_relative_information_score: 5.2789, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6109, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.568, root_relative_squared_error: 1.2168, scimark_benchmark: 1150.4212,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.5657, kappa: -0.0136, kb_relative_information_score: -3.7599, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5583, predictive_accuracy: 0.5755, prior_entropy: 0.9088, recall: 0.5755, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0557,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.6159, kappa: 0.1062, kb_relative_information_score: 9.1646, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6109, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.316, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.6352, kappa: 0.1509, kb_relative_information_score: 14.3277, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6306, predictive_accuracy: 0.6415, prior_entropy: 0.9088, recall: 0.6415, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.2225, scimark_benchmark: 1787.9841, usercpu_time_millis: 3218.75, usercpu_time_millis_training: 3218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.6352, kappa: 0.1509, kb_relative_information_score: 14.3277, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6306, predictive_accuracy: 0.6415, prior_entropy: 0.9088, recall: 0.6415, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.2225, scimark_benchmark: 1390.7174, usercpu_time_millis: 3870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.6159, kappa: 0.1062, kb_relative_information_score: 9.1646, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6109, predictive_accuracy: 0.6226, prior_entropy: 0.9088, recall: 0.6226, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.316, scimark_benchmark: 1529.1063, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5766, kappa: -0.0027, kb_relative_information_score: -4.0483, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.563, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1832, scimark_benchmark: 1016.889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5495, kb_relative_information_score: 23.6283, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.2133, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6585, kappa: 0.1987, kb_relative_information_score: 21.2177, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6531, predictive_accuracy: 0.6698, prior_entropy: 0.9088, recall: 0.6698, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.231, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.742, kappa: 0.4015, kb_relative_information_score: 31.1673, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.74, predictive_accuracy: 0.7453, prior_entropy: 0.9088, recall: 0.7453, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.005, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -8.9299, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0073, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.3485, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: -0.1783, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0009, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.5914, kappa: 0.0783, kb_relative_information_score: 2.6248, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.791, predictive_accuracy: 0.6981, prior_entropy: 0.9088, recall: 0.6981, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9671, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1617, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.6576, kappa: 0.2083, kb_relative_information_score: 14.7607, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6552, predictive_accuracy: 0.6604, prior_entropy: 0.9088, recall: 0.6604, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.2038, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5495, kb_relative_information_score: 0.1661, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.4614, predictive_accuracy: 0.6792, prior_entropy: 0.9088, recall: 0.6792, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0008, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6005, kappa: 0.0763, kb_relative_information_score: 2.9159, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.5976, predictive_accuracy: 0.6038, prior_entropy: 0.9088, recall: 0.6038, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.2355, scimark_benchmark: 1860.4354,

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