OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.8492, kb_relative_information_score: -347.4288, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9268, scimark_benchmark: 1878.8582, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8492, kb_relative_information_score: -328.8038, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9483, scimark_benchmark: 1818.9456, usercpu_time_millis: 3.271, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -365.8673, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.9262, scimark_benchmark: 1821.1529, usercpu_time_millis: 3.761, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.8652, kappa: 0.1272, kb_relative_information_score: -309.3694, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9122, scimark_benchmark: 1872.4216, usercpu_time_millis: 20.423, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 19.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.866, kappa: 0.1306, kb_relative_information_score: -327.792, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8748, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9095, scimark_benchmark: 790.4746, usercpu_time_millis: 38.692, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 37.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.862, kappa: 0.1343, kb_relative_information_score: -272.4004, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8505, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9462, scimark_benchmark: 1876.2965, usercpu_time_millis: 61.933, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 60.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.8664, kappa: 0.1324, kb_relative_information_score: -368.9618, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8777, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9134, scimark_benchmark: 1734.4776, usercpu_time_millis: 6.168, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 5.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8673, kappa: 0.1589, kb_relative_information_score: -336.7158, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8614, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9227, scimark_benchmark: 1748.66, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8492, kb_relative_information_score: 1.9039, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1767.8296, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8483, kappa: -0.0038, kb_relative_information_score: -313.9838, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9184, scimark_benchmark: 1736.1249, usercpu_time_millis: 7.512, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 6.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8784, kappa: 0.233, kb_relative_information_score: -227.1152, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8791, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8952, scimark_benchmark: 1715.1741, usercpu_time_millis: 13.842, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 13.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8657, kappa: 0.1372, kb_relative_information_score: -314.4927, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9101, scimark_benchmark: 1728.0127, usercpu_time_millis: 46.328, usercpu_time_millis_testing: 2.467, usercpu_time_millis_training: 43.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8492, kb_relative_information_score: -391.2361, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9357, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.8492, kb_relative_information_score: -388.3891, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.9321, scimark_benchmark: 1742.0962, usercpu_time_millis: 3.822, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 3.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -325.778, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9253, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.708, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8618, kappa: 0.0968, kb_relative_information_score: -362.8634, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8746, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.279, root_relative_squared_error: 0.9204, scimark_benchmark: 1746.1701, usercpu_time_millis: 5.226, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 4.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8829, kappa: 0.2884, kb_relative_information_score: -187.2393, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8776, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9046, scimark_benchmark: 2032.5097, usercpu_time_millis: 14.15, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 13.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -307.843, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9154, scimark_benchmark: 1760.3559, usercpu_time_millis: 6.537, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 6.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8662, kappa: 0.1389, kb_relative_information_score: -319.5687, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9125, scimark_benchmark: 1765.2692, usercpu_time_millis: 14.715, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 14.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8558, kappa: 0.0548, kb_relative_information_score: -290.6233, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8557, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.9178, scimark_benchmark: 1749.9998, usercpu_time_millis: 16.864, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 16.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8649, kappa: 0.1298, kb_relative_information_score: -356.5182, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8639, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9071, scimark_benchmark: 1765.3211, usercpu_time_millis: 29.066, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 27.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8725, kappa: 0.1804, kb_relative_information_score: -278.7204, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8795, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9109, scimark_benchmark: 2039.4968, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8492, kb_relative_information_score: 1.5056, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1733.1256, usercpu_time_millis: 1.751, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8715, kappa: 0.1799, kb_relative_information_score: -258.8336, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8724, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 2044.6545, usercpu_time_millis: 9.697, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 9.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.854, kappa: 0.0382, kb_relative_information_score: -362.5212, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8588, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.9235, scimark_benchmark: 1739.3689, usercpu_time_millis: 11.991, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8661, kappa: 0.1349, kb_relative_information_score: -313.2597, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9086, scimark_benchmark: 1770.0957, usercpu_time_millis: 9.604, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 9.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8678, kappa: 0.1498, kb_relative_information_score: -262.1878, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9032, scimark_benchmark: 1767.4183, usercpu_time_millis: 17.515, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 15.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8806, kappa: 0.2549, kb_relative_information_score: -266.3421, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8788, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8968, scimark_benchmark: 1748.66, usercpu_time_millis: 44.393, usercpu_time_millis_testing: 1.557, usercpu_time_millis_training: 42.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.8492, kb_relative_information_score: 2.241, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.854, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8492, kb_relative_information_score: 2.1972, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1872.7767, usercpu_time_millis: 1.688, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8483, kappa: -0.0038, kb_relative_information_score: -318.1069, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.9197, scimark_benchmark: 1734.8748, usercpu_time_millis: 6.446, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 5.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8656, kappa: 0.1289, kb_relative_information_score: -332.6919, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8722, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9129, scimark_benchmark: 1871.5019, usercpu_time_millis: 12.649, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 12.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.866, kappa: 0.1306, kb_relative_information_score: -325.2944, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8748, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9108, scimark_benchmark: 1864.8991, usercpu_time_millis: 15.246, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 14.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8492, kb_relative_information_score: 0.767, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 1.471, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8492, kb_relative_information_score: -346.2025, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9316, scimark_benchmark: 1764.313, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.759,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8492, kb_relative_information_score: -325.9783, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9228, scimark_benchmark: 1749.0072, usercpu_time_millis: 9.085, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 8.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8492, kb_relative_information_score: -0.692, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8666, kappa: 0.1406, kb_relative_information_score: -340.4702, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8679, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.9076, scimark_benchmark: 1872.4216, usercpu_time_millis: 18.19, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 17.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8492, kb_relative_information_score: -407.4907, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9344, scimark_benchmark: 1873.5642, usercpu_time_millis: 3.63, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 3.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8492, kb_relative_information_score: -2.4185, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8626, kappa: 0.1001, kb_relative_information_score: -340.741, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8838, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9123, scimark_benchmark: 1871.9624, usercpu_time_millis: 7.937, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 7.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -288.4373, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9165, scimark_benchmark: 1866.9264, usercpu_time_millis: 4.487, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8615, kappa: 0.108, kb_relative_information_score: -331.7754, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9084, scimark_benchmark: 1869.9448, usercpu_time_millis: 13.678, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 13.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8678, kappa: 0.1571, kb_relative_information_score: -323.8315, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8645, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9023, scimark_benchmark: 1852.0889, usercpu_time_millis: 34.744, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 33.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.866, kappa: 0.1574, kb_relative_information_score: -287.1283, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8573, predictive_accuracy: 0.8919, prior_entropy: 0.478, recall: 0.8919, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.914, scimark_benchmark: 1742.6381, usercpu_time_millis: 1.901, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8533, kappa: 0.0354, kb_relative_information_score: -317.3681, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8484, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9301, scimark_benchmark: 1860.0756, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8492, kb_relative_information_score: -281.7989, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9343, scimark_benchmark: 1862.932, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.875, kappa: 0.2083, kb_relative_information_score: -212.9207, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8747, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.902, scimark_benchmark: 1868.5887, usercpu_time_millis: 3.764, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: -348.7174, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9183, scimark_benchmark: 1870.3932, usercpu_time_millis: 7.904, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 7.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.867, kappa: 0.1424, kb_relative_information_score: -288.1744, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.274, root_relative_squared_error: 0.904, scimark_benchmark: 1843.7797, usercpu_time_millis: 21.518, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 20.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8723, kappa: 0.1867, kb_relative_information_score: -307.7599, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9081, scimark_benchmark: 1871.3129, usercpu_time_millis: 17.765, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 17.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8726, kappa: 0.1915, kb_relative_information_score: -249.7792, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8715, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9001, scimark_benchmark: 1869.9351, usercpu_time_millis: 18.63, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 17.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8547, kappa: 0.0505, kb_relative_information_score: -296.5816, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9231, scimark_benchmark: 1855.1969, usercpu_time_millis: 36.867, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 35.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8784, kappa: 0.2392, kb_relative_information_score: -208.1975, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8761, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8896, scimark_benchmark: 1877.6143, usercpu_time_millis: 4.449, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 4.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.8492, kb_relative_information_score: -252.9724, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9413, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8492, kb_relative_information_score: -345.2403, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9276, scimark_benchmark: 1872.8797, usercpu_time_millis: 9.657, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 9.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8652, kappa: 0.1272, kb_relative_information_score: -313.7045, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8697, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9072, scimark_benchmark: 1868.6447, usercpu_time_millis: 11.696, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 10.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8492, kb_relative_information_score: -346.2602, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9255, scimark_benchmark: 1746.3856, usercpu_time_millis: 11.958, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 11.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: -273.1846, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9036, scimark_benchmark: 1872.9434, usercpu_time_millis: 8.826, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 7.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8691, kappa: 0.1551, kb_relative_information_score: -259.4766, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8762, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8947, scimark_benchmark: 1797.0599, usercpu_time_millis: 11.174, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 9.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8807, kappa: 0.2491, kb_relative_information_score: -194.9156, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8819, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8902, scimark_benchmark: 1865.4209, usercpu_time_millis: 20.195, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 17.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, kb_relative_information_score: -830.7632, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, kb_relative_information_score: -0.0907, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, kb_relative_information_score: -0.1182, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,

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