Task
Supervised Classification on analcatdata_apnea2

Supervised Classification on analcatdata_apnea2

Task 3631 Supervised Classification analcatdata_apnea2 531 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 213.0006, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9279, kappa: 0.6889, kb_relative_information_score: 287.6173, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9275, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9226, kappa: 0.6464, kb_relative_information_score: 230.189, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9244, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9316, kappa: 0.7116, kb_relative_information_score: 270.8502, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9331, predictive_accuracy: 0.9305, prior_entropy: 0.5744, recall: 0.9305, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 241.6344, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.9274, kappa: 0.6847, kb_relative_information_score: 244.2707, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9267, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9364, kappa: 0.7255, kb_relative_information_score: 309.6182, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9361, predictive_accuracy: 0.9368, prior_entropy: 0.5744, recall: 0.9368, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9152, kappa: 0.6256, kb_relative_information_score: 213.5555, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9138, predictive_accuracy: 0.9179, prior_entropy: 0.5744, recall: 0.9179, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.8028, kb_relative_information_score: -53.0079, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8999, kappa: 0.518, kb_relative_information_score: 166.5155, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9197, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.8028, kb_relative_information_score: -65.4027, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9162, kappa: 0.6181, kb_relative_information_score: 241.6372, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9167, predictive_accuracy: 0.9221, prior_entropy: 0.5744, recall: 0.9221, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9391, kappa: 0.7399, kb_relative_information_score: 278.0079, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9394, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 340.2642, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9293, kappa: 0.6919, kb_relative_information_score: 297.5326, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9285, predictive_accuracy: 0.9305, prior_entropy: 0.5744, recall: 0.9305, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8028, kb_relative_information_score: 126.8514, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.28, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.8028, kb_relative_information_score: -3.4334, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9269, kappa: 0.6804, kb_relative_information_score: 276.3244, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.926, predictive_accuracy: 0.9284, prior_entropy: 0.5744, recall: 0.9284, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 305.894, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.8028, kb_relative_information_score: -62.854, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 275.0541, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9224, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 241.6366, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9532, kappa: 0.8064, kb_relative_information_score: 300.2513, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9565, predictive_accuracy: 0.9516, prior_entropy: 0.5744, recall: 0.9516, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 241.6366, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9215, kappa: 0.652, kb_relative_information_score: 267.6428, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9203, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.239, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9278, kappa: 0.6721, kb_relative_information_score: 231.4515, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9291, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 275.0541, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9224, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9168, kappa: 0.6092, kb_relative_information_score: 224.4791, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9255, predictive_accuracy: 0.9263, prior_entropy: 0.5744, recall: 0.9263, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 241.6366, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8046, kappa: 0.0223, kb_relative_information_score: 17.7012, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7801, predictive_accuracy: 0.8547, prior_entropy: 0.5744, recall: 0.8547, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.321, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.9008, kappa: 0.5423, kb_relative_information_score: 140.0462, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9013, predictive_accuracy: 0.9095, prior_entropy: 0.5744, recall: 0.9095, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.7771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.9169, kappa: 0.6481, kb_relative_information_score: 256.6593, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9181, predictive_accuracy: 0.9158, prior_entropy: 0.5744, recall: 0.9158, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.9044, kappa: 0.5632, kb_relative_information_score: 245.9109, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9041, predictive_accuracy: 0.9116, prior_entropy: 0.5744, recall: 0.9116, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8709, scimark_benchmark: 1631.1992, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.7885, kappa: 0.0481, kb_relative_information_score: -38.9198, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7783, predictive_accuracy: 0.8, prior_entropy: 0.5744, recall: 0.8, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3098, scimark_benchmark: 1697.6783, 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: 0.5066, f_measure: 0.8067, kappa: 0.0223, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.8174, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075, scimark_benchmark: 1862.8608, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.7885, kappa: 0.0481, kb_relative_information_score: -38.9198, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7783, predictive_accuracy: 0.8, prior_entropy: 0.5744, recall: 0.8, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3098, scimark_benchmark: 1372.5889, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.8067, kappa: 0.0223, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.8174, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075, scimark_benchmark: 1371.1862, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.9044, kappa: 0.5632, kb_relative_information_score: 245.9109, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9041, predictive_accuracy: 0.9116, prior_entropy: 0.5744, recall: 0.9116, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8709, scimark_benchmark: 1531.6405, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9403, kappa: 0.7497, kb_relative_information_score: 281.8653, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9423, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.223, root_relative_squared_error: 0.6532, scimark_benchmark: 1908.2191, usercpu_time_millis: 1406.25, usercpu_time_millis_training: 1406.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9135, kappa: 0.6048, kb_relative_information_score: 268.8638, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9142, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7286, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9391, kappa: 0.7399, kb_relative_information_score: 302.2187, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9394, predictive_accuracy: 0.9389, prior_entropy: 0.5744, recall: 0.9389, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.5958, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 305.894, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.5947, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9317, kappa: 0.7032, kb_relative_information_score: 270.9751, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.931, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.6453, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 299.6526, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9418, kappa: 0.7444, kb_relative_information_score: 326.5234, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9412, predictive_accuracy: 0.9432, prior_entropy: 0.5744, recall: 0.9432, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9513, kappa: 0.7992, kb_relative_information_score: 342.6459, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9551, predictive_accuracy: 0.9495, prior_entropy: 0.5744, recall: 0.9495, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6583, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9326, kappa: 0.7111, kb_relative_information_score: 306.8702, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.5906, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.935, kappa: 0.7219, kb_relative_information_score: 301.8668, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9352, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6078, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9162, kappa: 0.6181, kb_relative_information_score: 241.6372, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9167, predictive_accuracy: 0.9221, prior_entropy: 0.5744, recall: 0.9221, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6525, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9158, kappa: 0.622, kb_relative_information_score: 241.6344, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9147, predictive_accuracy: 0.92, prior_entropy: 0.5744, recall: 0.92, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6541, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.9341, kappa: 0.7144, kb_relative_information_score: 305.0267, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9335, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 282.7774, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9224, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6235, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9232, kappa: 0.6661, kb_relative_information_score: 275.0541, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9224, predictive_accuracy: 0.9242, prior_entropy: 0.5744, recall: 0.9242, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6456, scimark_benchmark: 1838.8826,

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