OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 432.7292, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9269, scimark_benchmark: 1852.859, usercpu_time_millis: 1246.732, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1246.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1258.5637, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1853.3841, usercpu_time_millis: 726.005, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 725.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1336.795, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7641, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1748.1832, usercpu_time_millis: 1008.562, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1008.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7444, kappa: 0.4842, kb_relative_information_score: 768.4125, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7451, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8719, scimark_benchmark: 1850.4948, usercpu_time_millis: 1200.142, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1199.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7634, kappa: 0.5226, kb_relative_information_score: 1315.4946, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8222, scimark_benchmark: 1764.3225, usercpu_time_millis: 1326.292, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1325.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7862, kappa: 0.5689, kb_relative_information_score: 1863.8728, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1857.0384, usercpu_time_millis: 1385.289, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 1384.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8066, kappa: 0.6101, kb_relative_information_score: 1853.1256, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7458, scimark_benchmark: 1825.6875, usercpu_time_millis: 985.37, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 983.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7941, kappa: 0.5847, kb_relative_information_score: 1872.0758, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.77, scimark_benchmark: 1857.1082, usercpu_time_millis: 1139.397, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 1138.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7618, kappa: 0.5196, kb_relative_information_score: 1516.8676, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8229, scimark_benchmark: 1749.5751, usercpu_time_millis: 1419.768, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1419.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7438, kappa: 0.4836, kb_relative_information_score: 1638.3179, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9137, scimark_benchmark: 1851.3986, usercpu_time_millis: 1447.597, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1447.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1090.1883, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8311, scimark_benchmark: 1850.8786, usercpu_time_millis: 818.961, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 818.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7673, kappa: 0.5307, kb_relative_information_score: 1775.5093, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1846.8309, usercpu_time_millis: 880.67, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 879.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 464.5634, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9224, scimark_benchmark: 1733.7613, usercpu_time_millis: 1390.471, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1390.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7228, kappa: 0.4412, kb_relative_information_score: 503.7511, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9128, scimark_benchmark: 1851.9456, usercpu_time_millis: 933.637, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 933.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7451, kappa: 0.4866, kb_relative_information_score: 1061.061, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8542, scimark_benchmark: 1855.4813, usercpu_time_millis: 1351.874, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1351.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.3813, kb_relative_information_score: 48.9078, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.991, scimark_benchmark: 1848.321, usercpu_time_millis: 1098.294, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1097.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 475.56, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9209, scimark_benchmark: 1847.2191, usercpu_time_millis: 1231.54, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1231.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1853.5846, usercpu_time_millis: 1063.413, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1062.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.758, kappa: 0.5116, kb_relative_information_score: 1211.0566, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1828.6602, usercpu_time_millis: 1415.86, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1415.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 296.5563, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.948, scimark_benchmark: 1847.7442, usercpu_time_millis: 1328.216, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 1327.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7366, kappa: 0.4691, kb_relative_information_score: 1625.4686, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345, scimark_benchmark: 1852.0126, usercpu_time_millis: 1177.817, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1177.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7486, kappa: 0.4928, kb_relative_information_score: 903.0506, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.749, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8532, scimark_benchmark: 1853.9121, usercpu_time_millis: 1345.579, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1345.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7452, kappa: 0.4867, kb_relative_information_score: 1046.9004, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8548, scimark_benchmark: 1847.8629, usercpu_time_millis: 983.727, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 983.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 424.0395, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9282, scimark_benchmark: 1758.2775, usercpu_time_millis: 1344.542, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 1344.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7272, kappa: 0.4501, kb_relative_information_score: 528.6757, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7323, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9088, scimark_benchmark: 1827.6884, usercpu_time_millis: 871.412, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 870.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1477.8622, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8147, scimark_benchmark: 1851.4874, usercpu_time_millis: 1188.373, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1188.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8019, kappa: 0.6004, kb_relative_information_score: 1751.2494, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7476, scimark_benchmark: 1731.9625, usercpu_time_millis: 1437.96, usercpu_time_millis_testing: 2.355, usercpu_time_millis_training: 1435.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7691, kappa: 0.5341, kb_relative_information_score: 1280.8099, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1846.7639, usercpu_time_millis: 974.912, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 974.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.77, kappa: 0.5359, kb_relative_information_score: 1128.0363, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1853.9121, usercpu_time_millis: 1387.176, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 1386.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7419, kappa: 0.4792, kb_relative_information_score: 559.4336, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9045, scimark_benchmark: 1853.9121, usercpu_time_millis: 1330.57, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1330.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0073, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 1412.092, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1411.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7624, kappa: 0.5206, kb_relative_information_score: 1529.0491, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8203, scimark_benchmark: 1727.4447, usercpu_time_millis: 1260.193, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1259.794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7812, kappa: 0.559, kb_relative_information_score: 1935.2859, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1846.5018, usercpu_time_millis: 1132.12, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 1131.554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 891.6744, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1836.3178, usercpu_time_millis: 1198.635, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1198.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7899, kappa: 0.5764, kb_relative_information_score: 1790.2897, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1848.388, usercpu_time_millis: 1225.437, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 1224.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7812, kappa: 0.5588, kb_relative_information_score: 1319.3819, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1857.6392, usercpu_time_millis: 1306.579, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 1306.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7591, kappa: 0.5139, kb_relative_information_score: 1268.8644, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1853.9121, usercpu_time_millis: 1156.765, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1156.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7498, kappa: 0.4952, kb_relative_information_score: 850.4963, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7504, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8603, scimark_benchmark: 1852.9988, usercpu_time_millis: 1241.97, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1241.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 1560.5766, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8271, scimark_benchmark: 1741.5776, usercpu_time_millis: 1129.713, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1129.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7448, kappa: 0.485, kb_relative_information_score: 732.98, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8771, scimark_benchmark: 1850.4154, usercpu_time_millis: 1448.376, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1447.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.744, kappa: 0.4847, kb_relative_information_score: 1016.5949, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8607, scimark_benchmark: 1921.3891, usercpu_time_millis: 1191.859, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1191.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7407, kappa: 0.4773, kb_relative_information_score: 1636.0055, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9256, scimark_benchmark: 1803.7575, usercpu_time_millis: 1173.691, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1173.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7651, kappa: 0.5261, kb_relative_information_score: 1507.0591, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 1108.7846, usercpu_time_millis: 1503.409, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 1502.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.76, kappa: 0.5157, kb_relative_information_score: 1277.4061, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7606, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8255, scimark_benchmark: 1849.7595, usercpu_time_millis: 1661.002, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1660.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 2140.3732, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7946, scimark_benchmark: 1724.8942, usercpu_time_millis: 1494.545, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 1493.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.636, kappa: 0.277, kb_relative_information_score: 202.8714, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6587, predictive_accuracy: 0.651, prior_entropy: 0.9948, recall: 0.651, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9635, scimark_benchmark: 1732.5378, usercpu_time_millis: 1203.161, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1202.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 1477.149, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1476.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.744, kappa: 0.4847, kb_relative_information_score: 1022.2733, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1846.7639, usercpu_time_millis: 1416.005, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1415.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7456, kappa: 0.4867, kb_relative_information_score: 804.7458, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8667, scimark_benchmark: 1761.0645, usercpu_time_millis: 1471.873, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1471.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7667, kappa: 0.5297, kb_relative_information_score: 1269.5489, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8164, scimark_benchmark: 1855.1417, usercpu_time_millis: 1391.478, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 1390.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7543, kappa: 0.5045, kb_relative_information_score: 1569.1118, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8423, scimark_benchmark: 1858.2223, usercpu_time_millis: 1210.215, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1209.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7522, kappa: 0.5004, kb_relative_information_score: 1598.6855, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8689, scimark_benchmark: 1841.6688, usercpu_time_millis: 1475.91, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1475.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7493, kappa: 0.4945, kb_relative_information_score: 1117.3363, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7493, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8462, scimark_benchmark: 1842.7094, usercpu_time_millis: 1460.667, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1460.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7562, kappa: 0.5083, kb_relative_information_score: 1611.1707, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.858, scimark_benchmark: 1728.0167, usercpu_time_millis: 1564.581, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1564.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7531, kappa: 0.5022, kb_relative_information_score: 1613.0087, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8726, scimark_benchmark: 1828.6505, usercpu_time_millis: 1460.459, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1460.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 705.4692, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8946, scimark_benchmark: 1846.3057, usercpu_time_millis: 1419.728, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1419.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7949, kappa: 0.5864, kb_relative_information_score: 1690.8967, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1853.9121, usercpu_time_millis: 1732.418, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 1731.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7911, kappa: 0.5787, kb_relative_information_score: 1660.1796, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7646, scimark_benchmark: 1835.7111, usercpu_time_millis: 1517.352, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 1516.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7686, kappa: 0.5331, kb_relative_information_score: 1434.1387, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8118, scimark_benchmark: 1737.4645, usercpu_time_millis: 1599.558, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1599.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7593, kappa: 0.5146, kb_relative_information_score: 1644.7174, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8386, scimark_benchmark: 1828.2144, usercpu_time_millis: 1367.72, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1367.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7551, kappa: 0.506, kb_relative_information_score: 1568.6817, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8421, scimark_benchmark: 1857.6392, usercpu_time_millis: 1259.243, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1258.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7689, kappa: 0.5336, kb_relative_information_score: 1388.7365, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8118, scimark_benchmark: 1846.6923, usercpu_time_millis: 1259.041, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1258.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7547, kappa: 0.5052, kb_relative_information_score: 1550.547, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1844.2035, usercpu_time_millis: 1598.725, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1598.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7452, kappa: 0.4858, kb_relative_information_score: 826.3873, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7459, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 1849.7595, usercpu_time_millis: 1418.926, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1418.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 847.8024, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1850.9652, usercpu_time_millis: 1415.315, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1414.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7674, kappa: 0.5307, kb_relative_information_score: 1317.0895, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7682, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8136, scimark_benchmark: 1830.7134, usercpu_time_millis: 1410.977, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1410.591,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs