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: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.4323, mean_absolute_error: 0.4965, 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: 1828.4965, usercpu_time_millis: 351.344, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 350.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7454, kappa: 0.4861, kb_relative_information_score: 793.5856, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7462, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8682, scimark_benchmark: 1837.5991, usercpu_time_millis: 527.587, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 527.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7673, kappa: 0.5304, kb_relative_information_score: 1310.3059, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8145, scimark_benchmark: 1803.0257, usercpu_time_millis: 332.139, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 331.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.733, kappa: 0.4619, kb_relative_information_score: 1604.6592, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7329, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9553, scimark_benchmark: 1894.0882, usercpu_time_millis: 1101.592, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1101.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7492, kappa: 0.4939, kb_relative_information_score: 830.7749, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7499, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.43, root_relative_squared_error: 0.863, scimark_benchmark: 1721.298, usercpu_time_millis: 1225.542, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 1224.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7615, kappa: 0.5186, kb_relative_information_score: 1281.9961, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 2011.5099, usercpu_time_millis: 999.323, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 998.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7541, kappa: 0.5042, kb_relative_information_score: 1649.486, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8505, scimark_benchmark: 1733.4264, usercpu_time_millis: 1283.293, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1282.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7615, kappa: 0.5188, kb_relative_information_score: 265.3114, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1821.2489, usercpu_time_millis: 371.509, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 371.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7383, kappa: 0.4737, kb_relative_information_score: 490.584, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9178, scimark_benchmark: 1740.3246, usercpu_time_millis: 410.753, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 409.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7519, kappa: 0.4995, kb_relative_information_score: 334.1706, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9381, scimark_benchmark: 1729.7415, usercpu_time_millis: 516.028, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 515.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7601, kappa: 0.5163, kb_relative_information_score: 1586.0283, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1721.298, usercpu_time_millis: 1138.493, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1138.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7573, kappa: 0.5104, kb_relative_information_score: 1055.4017, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8355, scimark_benchmark: 1854.4951, usercpu_time_millis: 1038.352, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1037.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7684, kappa: 0.5331, kb_relative_information_score: 1799.5457, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1900.1888, usercpu_time_millis: 13.264, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 12.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7377, kappa: 0.4711, kb_relative_information_score: 1101.3802, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8489, scimark_benchmark: 1844.3569, usercpu_time_millis: 58.976, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 58.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7614, kappa: 0.5187, kb_relative_information_score: 1274.6033, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1831.1421, usercpu_time_millis: 160.43, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 159.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7444, kappa: 0.4852, kb_relative_information_score: 844.6156, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8701, scimark_benchmark: 1841.6688, usercpu_time_millis: 134.03, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 133.64,
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: 1829.0949, usercpu_time_millis: 123.427, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 123.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -32.544, mean_absolute_error: 0.4993, 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: 1.0057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021, scimark_benchmark: 1843.1606, usercpu_time_millis: 1399.019, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 1398.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7591, kappa: 0.5142, kb_relative_information_score: 1593.5837, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8411, scimark_benchmark: 1848.7762, usercpu_time_millis: 954.128, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 953.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7242, kappa: 0.4446, kb_relative_information_score: 502.4748, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7314, predictive_accuracy: 0.7283, prior_entropy: 0.9948, recall: 0.7283, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9129, scimark_benchmark: 1717.8303, usercpu_time_millis: 657.802, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 657.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7477, kappa: 0.4911, kb_relative_information_score: 1766.9214, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7476, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.91, scimark_benchmark: 1825.7683, usercpu_time_millis: 1248.554, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 1247.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7686, kappa: 0.533, kb_relative_information_score: 1383.061, mean_absolute_error: 0.3295, 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: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1695.658, usercpu_time_millis: 583.682, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 583.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7543, kappa: 0.5046, kb_relative_information_score: 805.6479, mean_absolute_error: 0.4093, 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: 0.8245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8652, scimark_benchmark: 1845.3295, usercpu_time_millis: 344.851, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 344.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7892, kappa: 0.5748, kb_relative_information_score: 1652.7496, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1808.897, usercpu_time_millis: 556.579, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 555.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7811, kappa: 0.5587, kb_relative_information_score: 1451.5024, mean_absolute_error: 0.3213, 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: 0.6472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7851, scimark_benchmark: 1833.5944, usercpu_time_millis: 283.824, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 282.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7415, kappa: 0.4783, kb_relative_information_score: 701.5225, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8818, scimark_benchmark: 1702.3228, usercpu_time_millis: 1128.045, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 1127.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7681, kappa: 0.5321, kb_relative_information_score: 1432.0819, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8129, scimark_benchmark: 1696.5054, usercpu_time_millis: 922.092, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 921.66,
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: 1821.4294, usercpu_time_millis: 482.248, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 481.742,
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: 1884.4155, usercpu_time_millis: 442.289, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 441.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7535, kappa: 0.5032, kb_relative_information_score: 1643.778, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8895, scimark_benchmark: 1840.2451, usercpu_time_millis: 404.027, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 402.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7498, kappa: 0.4955, kb_relative_information_score: 1112.1103, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7498, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8458, scimark_benchmark: 1837.1955, usercpu_time_millis: 639.918, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 639.549,
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: 1844.8764, usercpu_time_millis: 105.099, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 104.709,
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: 1712.9561, usercpu_time_millis: 1265.741, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1265.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7849, kappa: 0.5661, kb_relative_information_score: 1616.8436, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1848.6795, usercpu_time_millis: 1589.743, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 1588.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.751, kappa: 0.4975, kb_relative_information_score: 752.2005, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1791.236, usercpu_time_millis: 1457.351, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 1456.259,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7647, kappa: 0.5253, kb_relative_information_score: 1503.1966, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7651, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 1800.1583, usercpu_time_millis: 824.443, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 824.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.6569, kappa: 0.3123, kb_relative_information_score: 240.448, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.669, predictive_accuracy: 0.6657, prior_entropy: 0.9948, recall: 0.6657, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9564, scimark_benchmark: 1835.2001, usercpu_time_millis: 255.477, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 254.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7708, kappa: 0.5376, kb_relative_information_score: 1467.9351, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1818.5295, usercpu_time_millis: 398.087, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 396.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 897.9163, mean_absolute_error: 0.3969, 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: 0.7996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8746, scimark_benchmark: 1827.119, usercpu_time_millis: 285.464, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 284.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7385, kappa: 0.4743, kb_relative_information_score: 958.6774, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7394, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 1853.9121, usercpu_time_millis: 1114.503, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 1113.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.3813, kb_relative_information_score: -0.037, 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: 1838.236, usercpu_time_millis: 1198.348, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1197.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7903, kappa: 0.577, kb_relative_information_score: 1907.7434, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1828.024, usercpu_time_millis: 714.673, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 713.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8058, kappa: 0.6083, kb_relative_information_score: 1816.7146, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.752, scimark_benchmark: 2126.2696, usercpu_time_millis: 164.458, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 164.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.771, kappa: 0.538, kb_relative_information_score: 1550.917, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1847.3406, usercpu_time_millis: 310.873, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 310.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8, kappa: 0.5966, kb_relative_information_score: 2179.4404, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155, scimark_benchmark: 1728.0096, usercpu_time_millis: 588.146, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 586.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.3813, kb_relative_information_score: 118.1712, mean_absolute_error: 0.4853, 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: 0.9775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9784, scimark_benchmark: 1831.0557, usercpu_time_millis: 1269.183, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1268.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7522, kappa: 0.5005, kb_relative_information_score: 1647.6165, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8897, scimark_benchmark: 1812.7079, usercpu_time_millis: 1134.46, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1134.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7466, kappa: 0.4888, kb_relative_information_score: 858.3803, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8609, scimark_benchmark: 1836.2249, usercpu_time_millis: 411.171, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 410.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7667, kappa: 0.5292, kb_relative_information_score: 1347.7964, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8124, scimark_benchmark: 1854.4951, usercpu_time_millis: 1427.298, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1426.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7702, kappa: 0.5364, kb_relative_information_score: 1506.3998, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8046, scimark_benchmark: 1881.6155, usercpu_time_millis: 470.426, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 470.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7672, kappa: 0.5302, kb_relative_information_score: 1413.1106, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1965.9675, usercpu_time_millis: 1306.707, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1306.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7656, kappa: 0.5271, kb_relative_information_score: 1518.4002, mean_absolute_error: 0.3085, 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: 0.6214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1969.6145, usercpu_time_millis: 607.63, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 607.279,
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: 1844.8101, usercpu_time_millis: 422.811, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 422.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7578, kappa: 0.5117, kb_relative_information_score: 740.9911, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8727, scimark_benchmark: 1881.0757, usercpu_time_millis: 411.634, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 411.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7462, kappa: 0.4879, kb_relative_information_score: 815.3728, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.747, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8652, scimark_benchmark: 1837.7222, usercpu_time_millis: 1400.581, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1400.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7816, kappa: 0.5593, kb_relative_information_score: 1368.2191, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7995, scimark_benchmark: 1975.926, usercpu_time_millis: 1837.799, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 1837.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7455, kappa: 0.4864, kb_relative_information_score: 784.6291, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8695, scimark_benchmark: 1827.062, usercpu_time_millis: 1197.623, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1197.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6736, kappa: 0.3414, kb_relative_information_score: 556.1192, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6752, predictive_accuracy: 0.6761, prior_entropy: 0.9948, recall: 0.6761, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9137, scimark_benchmark: 1716.4921, usercpu_time_millis: 344.672, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 343.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7703, kappa: 0.5372, kb_relative_information_score: 1145.4476, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8136, scimark_benchmark: 1835.7111, usercpu_time_millis: 187.04, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 186.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7877, kappa: 0.5717, kb_relative_information_score: 1245.2962, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7969, scimark_benchmark: 1834.6797, usercpu_time_millis: 41.953, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 41.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7688, kappa: 0.5334, kb_relative_information_score: 1243.5149, mean_absolute_error: 0.3497, 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: 0.7044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8178, scimark_benchmark: 1788.0184, usercpu_time_millis: 1312.22, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1311.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7605, kappa: 0.5168, kb_relative_information_score: 1106.4515, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1722.2536, usercpu_time_millis: 810.632, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 810.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7664, kappa: 0.529, kb_relative_information_score: 1016.8892, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8295, scimark_benchmark: 1771.5396, usercpu_time_millis: 288.694, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 287.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6326, kappa: 0.2625, kb_relative_information_score: 284.6017, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6412, predictive_accuracy: 0.6409, prior_entropy: 0.9948, recall: 0.6409, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9521, scimark_benchmark: 1888.172, usercpu_time_millis: 321.894, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 321.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 562.657, mean_absolute_error: 0.4383, 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: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9096, scimark_benchmark: 1826.0994, usercpu_time_millis: 224.676, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 224.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 2091.9751, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539, scimark_benchmark: 1857.5664, usercpu_time_millis: 1379.482, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 1377.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7678, kappa: 0.5314, kb_relative_information_score: 1350.874, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1819.4842, usercpu_time_millis: 457.866, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 456.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7629, kappa: 0.5219, kb_relative_information_score: 1605.5432, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1843.1687, usercpu_time_millis: 412.87, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 411.824,

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

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