Task
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.9229, kappa: 0.2976, kb_relative_information_score: 0.3364, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9266, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.8912, kappa: -0.0205, kb_relative_information_score: 0.1217, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8652, predictive_accuracy: 0.9188, prior_entropy: 0.3638, recall: 0.9188, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2849, root_relative_squared_error: 1.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.8922, kappa: -0.0024, kb_relative_information_score: 0.112, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8702, predictive_accuracy: 0.9179, prior_entropy: 0.3638, recall: 0.9179, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: 0.2095, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.9136, kappa: 0.2679, kb_relative_information_score: 0.1608, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9078, predictive_accuracy: 0.9225, prior_entropy: 0.3638, recall: 0.9225, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.9175, kappa: 0.2877, kb_relative_information_score: 0.2193, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9122, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.913, kappa: 0.2648, kb_relative_information_score: 0.151, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9072, predictive_accuracy: 0.9216, prior_entropy: 0.3638, recall: 0.9216, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.9129, kappa: 0.2346, kb_relative_information_score: 0.1998, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9066, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.8944, kappa: -0.0101, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8656, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.9071, kappa: 0.1431, kb_relative_information_score: 0.2193, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: 0.2388, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.913, kappa: 0.2648, kb_relative_information_score: 0.151, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9072, predictive_accuracy: 0.9216, prior_entropy: 0.3638, recall: 0.9216, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: 0.0339, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3638, recall: 0.9107, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, kb_relative_information_score: -988.3491, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1124, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, kb_relative_information_score: -107.7385, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.255, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.1751, kappa: -0.0008, kb_relative_information_score: -8996.5332, mean_absolute_error: 0.8516, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8677, predictive_accuracy: 0.1542, prior_entropy: 0.3667, recall: 0.1542, relative_absolute_error: 6.5565, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.9194, root_relative_squared_error: 3.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.8971, kb_relative_information_score: 1.9326, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.904, kappa: 0.0846, kb_relative_information_score: -482.672, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9086, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.936, scimark_benchmark: 1864.2071, usercpu_time_millis: 4.721, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 4.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.8971, kb_relative_information_score: 1.2994, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -487.2994, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.9352, scimark_benchmark: 1817.0582, usercpu_time_millis: 2.031, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.9025, kappa: 0.0653, kb_relative_information_score: -305.8609, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9099, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.9449, scimark_benchmark: 1868.2531, usercpu_time_millis: 3.531, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.8971, kb_relative_information_score: 2.5915, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1921.7747, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.8971, kb_relative_information_score: -424.7952, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.9342, scimark_benchmark: 1919.326, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9269, kappa: 0.3417, kb_relative_information_score: -313.4182, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9295, predictive_accuracy: 0.9405, prior_entropy: 0.3667, recall: 0.9405, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8839, scimark_benchmark: 1849.802, usercpu_time_millis: 8.985, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 7.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.119, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1824.1636, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: -372.4583, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9083, scimark_benchmark: 1851.1192, usercpu_time_millis: 5.131, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.9123, kappa: 0.1707, kb_relative_information_score: -421.1206, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9273, scimark_benchmark: 1868.6447, usercpu_time_millis: 4.02, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.9271, kappa: 0.3549, kb_relative_information_score: -341.3176, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9263, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8917, scimark_benchmark: 1863.2338, usercpu_time_millis: 9.374, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 8.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: -423.2246, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.931, scimark_benchmark: 1874.4489, usercpu_time_millis: 5.748, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9292, kappa: 0.3903, kb_relative_information_score: -274.6813, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9265, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8854, scimark_benchmark: 1864.4376, usercpu_time_millis: 11.305, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.9129, kappa: 0.174, kb_relative_information_score: -316.5607, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9339, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.227, root_relative_squared_error: 0.893, scimark_benchmark: 1822.4239, usercpu_time_millis: 6.617, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 5.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -464.1221, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9366, scimark_benchmark: 1872.4216, usercpu_time_millis: 12.137, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 11.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.927, kappa: 0.3485, kb_relative_information_score: -425.3179, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.8953, scimark_benchmark: 1867.1999, usercpu_time_millis: 5.489, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 5.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.9046, kappa: 0.0872, kb_relative_information_score: -453.7333, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9153, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9282, scimark_benchmark: 1719.131, usercpu_time_millis: 5.37, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 4.832,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9264, kappa: 0.3508, kb_relative_information_score: -340.6878, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.925, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8824, scimark_benchmark: 1873.0711, usercpu_time_millis: 8.98, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 8.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9243, kappa: 0.3677, kb_relative_information_score: -117.8007, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9204, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.9348, scimark_benchmark: 1738.1189, usercpu_time_millis: 15.763, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 15.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 81.9017, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, kb_relative_information_score: -9.0595, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.9038, kappa: 0.2513, kb_relative_information_score: -0.0534, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9044, prior_entropy: 0.3638, recall: 0.9044, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.2132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, kb_relative_information_score: -0.1559, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, kb_relative_information_score: -0.2745, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, kb_relative_information_score: -0.0845, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, kb_relative_information_score: -0.0472, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: -0.094, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.9223, kappa: 0.3335, kb_relative_information_score: 0.1431, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9181, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, kb_relative_information_score: -0.3716, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, kb_relative_information_score: -0.4728, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, kb_relative_information_score: -0.1748, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9104, kappa: 0.1504, kb_relative_information_score: -0.2267, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9254, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, kb_relative_information_score: -0.1175, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.925, kappa: 0.3549, kb_relative_information_score: 0.1041, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9215, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, kb_relative_information_score: -0.1152, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, kb_relative_information_score: -0.0569, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.9117, kappa: 0.1674, kb_relative_information_score: -0.2249, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9226, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, kb_relative_information_score: -0.0762, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, kb_relative_information_score: -0.2756, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, kb_relative_information_score: -0.1169, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, kb_relative_information_score: -0.1767, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, kb_relative_information_score: -0.1289, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.9767,

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