Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8556, kappa: 0.673, kb_relative_information_score: 521.6469, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8561, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.713, scimark_benchmark: 1315.1377, usercpu_time_millis: 5.687, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.5901, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6693, scimark_benchmark: 1310.4383, usercpu_time_millis: 15.114, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 15.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.7941, kappa: 0.5272, kb_relative_information_score: 342.4922, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8098, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8096, scimark_benchmark: 1315.8375, usercpu_time_millis: 4.795, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8712, kappa: 0.7104, kb_relative_information_score: 585.531, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6649, scimark_benchmark: 1310.124, usercpu_time_millis: 6.224, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 6.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7671, kappa: 0.4647, kb_relative_information_score: 324.0602, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7983, predictive_accuracy: 0.7877, prior_entropy: 0.9226, recall: 0.7877, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8409, scimark_benchmark: 1311.4946, usercpu_time_millis: 9.38, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 9.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8161, kappa: 0.5807, kb_relative_information_score: 482.3457, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8194, predictive_accuracy: 0.8218, prior_entropy: 0.9226, recall: 0.8218, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7553, scimark_benchmark: 1286.7671, usercpu_time_millis: 7.806, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 7.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 571.2511, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6701, scimark_benchmark: 1310.3829, usercpu_time_millis: 22.614, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 22.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.5894, kappa: 0.1022, kb_relative_information_score: 55.8435, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7281, predictive_accuracy: 0.6863, prior_entropy: 0.9226, recall: 0.6863, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9724, scimark_benchmark: 1287.3523, usercpu_time_millis: 5.385, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.5659, kappa: 0.0618, kb_relative_information_score: 31.2562, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.725, predictive_accuracy: 0.6768, prior_entropy: 0.9226, recall: 0.6768, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9825, scimark_benchmark: 1309.8623, usercpu_time_millis: 8.417, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8177, kappa: 0.5839, kb_relative_information_score: 485.5694, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8217, predictive_accuracy: 0.8237, prior_entropy: 0.9226, recall: 0.8237, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7498, scimark_benchmark: 1285.8896, usercpu_time_millis: 6.292, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 6.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8766, kappa: 0.7218, kb_relative_information_score: 594.1209, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.312, root_relative_squared_error: 0.66, scimark_benchmark: 1293.4237, usercpu_time_millis: 3.492, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.857, kappa: 0.6768, kb_relative_information_score: 565.5975, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.857, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6954, scimark_benchmark: 1297.8811, usercpu_time_millis: 6.045, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 5.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8702, kappa: 0.7098, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8702, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8768, kappa: 0.7225, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7453, kappa: 0.4273, kb_relative_information_score: 0.4072, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7442, predictive_accuracy: 0.7469, prior_entropy: 0.9223, recall: 0.7469, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8084, kappa: 0.5603, kb_relative_information_score: 436.1776, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8223, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7561, scimark_benchmark: 1312.6301, usercpu_time_millis: 4.309, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8446, kappa: 0.6467, kb_relative_information_score: 424.5296, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8468, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7533, scimark_benchmark: 1312.9819, usercpu_time_millis: 5.078, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 5.009,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.852, kappa: 0.6652, kb_relative_information_score: 555.4231, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8521, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6932, scimark_benchmark: 1287.2912, usercpu_time_millis: 4.715, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.5771, kappa: 0.0813, kb_relative_information_score: 50.3508, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7298, predictive_accuracy: 0.6815, prior_entropy: 0.9226, recall: 0.6815, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.461, root_relative_squared_error: 0.975, scimark_benchmark: 1289.6584, usercpu_time_millis: 9.353, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 9.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8006, kappa: 0.5425, kb_relative_information_score: 432.9562, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.813, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7834, scimark_benchmark: 1310.9281, usercpu_time_millis: 8.766, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 8.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.6857, kappa: 0.2853, kb_relative_information_score: 238.5554, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.748, predictive_accuracy: 0.7318, prior_entropy: 0.9226, recall: 0.7318, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8726, scimark_benchmark: 1313.9137, usercpu_time_millis: 5.106, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 5.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.5737, kappa: 0.0699, kb_relative_information_score: 82.8515, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6817, predictive_accuracy: 0.6758, prior_entropy: 0.9226, recall: 0.6758, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9517, scimark_benchmark: 1282.5958, usercpu_time_millis: 4.684, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8018, kappa: 0.5452, kb_relative_information_score: 422.5908, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8139, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7649, scimark_benchmark: 1310.3158, usercpu_time_millis: 5.214, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 5.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 570.8961, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6706, scimark_benchmark: 1283.5471, usercpu_time_millis: 68.465, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 68.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.6961, kappa: 0.3065, kb_relative_information_score: 227.4944, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7475, predictive_accuracy: 0.7365, prior_entropy: 0.9226, recall: 0.7365, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8772, scimark_benchmark: 1330.5261, usercpu_time_millis: 5.121, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 5.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8759, kappa: 0.7206, kb_relative_information_score: 591.1182, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9226, recall: 0.8768, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.662, scimark_benchmark: 1322.0545, usercpu_time_millis: 4.591, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7838, kappa: 0.5031, kb_relative_information_score: 0.5315, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8075, predictive_accuracy: 0.8, prior_entropy: 0.9223, recall: 0.8, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.882, kappa: 0.735, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8817, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8751, kappa: 0.719, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.9223, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8859, kappa: 0.7442, kb_relative_information_score: 0.7336, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8857, predictive_accuracy: 0.8863, prior_entropy: 0.9223, recall: 0.8863, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5919, kappa: 0.1054, kb_relative_information_score: 0.2651, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7186, predictive_accuracy: 0.6863, prior_entropy: 0.9223, recall: 0.6863, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8733, kappa: 0.7155, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.873, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8588, kappa: 0.6807, kb_relative_information_score: 0.6736, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9223, recall: 0.8607, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.8035, kappa: 0.5491, kb_relative_information_score: 0.5648, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8165, predictive_accuracy: 0.8142, prior_entropy: 0.9223, recall: 0.8142, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7875, kappa: 0.5223, kb_relative_information_score: 0.5049, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7867, predictive_accuracy: 0.7886, prior_entropy: 0.9223, recall: 0.7886, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.6914, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, recall: 0.8682, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7677,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.682, kappa: 0.2772, kb_relative_information_score: 197.6393, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7435, predictive_accuracy: 0.7289, prior_entropy: 0.9226, recall: 0.7289, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8929, scimark_benchmark: 1300.1913, usercpu_time_millis: 5.114, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7277, kappa: 0.3747, kb_relative_information_score: 266.1304, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7578, predictive_accuracy: 0.7545, prior_entropy: 0.9226, recall: 0.7545, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8552, scimark_benchmark: 1303.0922, usercpu_time_millis: 5.154, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 5.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.652, kappa: 0.2181, kb_relative_information_score: 147.7332, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7408, predictive_accuracy: 0.7147, prior_entropy: 0.9226, recall: 0.7147, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9197, scimark_benchmark: 1308.6771, usercpu_time_millis: 5.082, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 4.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.595, kappa: 0.1127, kb_relative_information_score: 60.3015, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7338, predictive_accuracy: 0.6891, prior_entropy: 0.9226, recall: 0.6891, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9691, scimark_benchmark: 1311.1082, usercpu_time_millis: 5.357, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.5386, kappa: 0.0127, kb_relative_information_score: 24.737, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6245, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.988, scimark_benchmark: 1292.2272, usercpu_time_millis: 5.369, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.6059, kappa: 0.1311, kb_relative_information_score: 82.8469, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7277, predictive_accuracy: 0.6929, prior_entropy: 0.9226, recall: 0.6929, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9574, scimark_benchmark: 1306.2326, usercpu_time_millis: 5.396, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6925, kappa: 0.3021, kb_relative_information_score: 205.4001, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7666, predictive_accuracy: 0.7393, prior_entropy: 0.9226, recall: 0.7393, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9028, scimark_benchmark: 1289.1228, usercpu_time_millis: 9.895, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 9.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.1758, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6697, scimark_benchmark: 1296.551, usercpu_time_millis: 19.187, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 19.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 572.6188, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6706, scimark_benchmark: 1294.3257, usercpu_time_millis: 9.856, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 9.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.5624, kappa: 0.0566, kb_relative_information_score: 36.079, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7324, predictive_accuracy: 0.6758, prior_entropy: 0.9226, recall: 0.6758, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9818, scimark_benchmark: 1299.2372, usercpu_time_millis: 10.464, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 10.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.691, kappa: 0.2946, kb_relative_information_score: 230.8531, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7391, predictive_accuracy: 0.7318, prior_entropy: 0.9226, recall: 0.7318, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8735, scimark_benchmark: 1318.5967, usercpu_time_millis: 5.211, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.5925, kappa: 0.105, kb_relative_information_score: 125.8257, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7085, predictive_accuracy: 0.6853, prior_entropy: 0.9226, recall: 0.6853, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9284, scimark_benchmark: 1291.4202, usercpu_time_millis: 4.655, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7981, kappa: 0.5366, kb_relative_information_score: 415.3304, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8116, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7716, scimark_benchmark: 1293.5648, usercpu_time_millis: 5.153, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5771, kappa: 0.0813, kb_relative_information_score: 51.2381, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7298, predictive_accuracy: 0.6815, prior_entropy: 0.9226, recall: 0.6815, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9745, scimark_benchmark: 1314.3543, usercpu_time_millis: 9.294, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 9.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7533, kappa: 0.4337, kb_relative_information_score: 297.8242, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7922, predictive_accuracy: 0.7782, prior_entropy: 0.9226, recall: 0.7782, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8532, scimark_benchmark: 1281.4447, usercpu_time_millis: 8.988, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 8.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 567.0836, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6716, scimark_benchmark: 1309.9575, usercpu_time_millis: 399.568, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 399.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.5762, kappa: 0.0753, kb_relative_information_score: 110.7954, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6917, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9352, scimark_benchmark: 1315.2526, usercpu_time_millis: 4.448, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8077, kappa: 0.5665, kb_relative_information_score: 485.6379, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.747, scimark_benchmark: 1315.2269, usercpu_time_millis: 4.497, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8195, kappa: 0.6002, kb_relative_information_score: 493.9067, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.822, predictive_accuracy: 0.818, prior_entropy: 0.9226, recall: 0.818, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7599, scimark_benchmark: 1305.9656, usercpu_time_millis: 6.807, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 6.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8706, kappa: 0.7097, kb_relative_information_score: 0.698, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8703, predictive_accuracy: 0.8711, prior_entropy: 0.9223, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8714, kappa: 0.7112, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8711, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,

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