OpenML
Supervised Classification on car

Supervised Classification on car

Task 1785 Supervised Classification car 319 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 0.1161, build_memory: 1049254550.4, f_measure: 0.9268, kappa: 0.8422, kb_relative_information_score: 6083.4819, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9272, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5241, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 0.0721, build_memory: 2626591875.2, f_measure: 0.9268, kappa: 0.8422, kb_relative_information_score: 6083.4819, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9272, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5241, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 0.096, build_memory: 1065834233.6, f_measure: 0.9268, kappa: 0.8422, kb_relative_information_score: 6083.4819, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9272, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5241, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 0.0878, build_memory: 1633621630.4, f_measure: 0.9268, kappa: 0.8422, kb_relative_information_score: 6083.4819, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9272, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5241, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0029, build_memory: 335101358.4, f_measure: 0.8223, kappa: 0.6107, kb_relative_information_score: 5315.6871, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8193, predictive_accuracy: 0.8259, prior_entropy: 1.2099, recall: 0.8259, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0032, build_memory: 1474681532, f_measure: 0.8223, kappa: 0.6107, kb_relative_information_score: 5315.6871, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8193, predictive_accuracy: 0.8259, prior_entropy: 1.2099, recall: 0.8259, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0027, build_memory: 2093660540.8, f_measure: 0.8223, kappa: 0.6107, kb_relative_information_score: 5315.6871, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8193, predictive_accuracy: 0.8259, prior_entropy: 1.2099, recall: 0.8259, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0048, build_memory: 1879006356, f_measure: 0.8223, kappa: 0.6107, kb_relative_information_score: 5315.6871, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8193, predictive_accuracy: 0.8259, prior_entropy: 1.2099, recall: 0.8259, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.0078, build_memory: 99406554.4, f_measure: 0.8223, kappa: 0.6107, kb_relative_information_score: 5315.6871, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8193, predictive_accuracy: 0.8259, prior_entropy: 1.2099, recall: 0.8259, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7831, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.0974, build_memory: 1843317864, f_measure: 0.9537, kappa: 0.8996, kb_relative_information_score: 7576.2501, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9549, predictive_accuracy: 0.9535, prior_entropy: 1.2099, recall: 0.9535, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4169, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.0651, build_memory: 375652622.4, f_measure: 0.9537, kappa: 0.8996, kb_relative_information_score: 7576.2501, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9549, predictive_accuracy: 0.9535, prior_entropy: 1.2099, recall: 0.9535, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4169, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0698, build_memory: 82509408, f_measure: 0.953, kappa: 0.8983, kb_relative_information_score: 7558.5671, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9542, predictive_accuracy: 0.9529, prior_entropy: 1.2099, recall: 0.9529, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4195, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0421, build_memory: 204754767.2, f_measure: 0.9514, kappa: 0.8948, kb_relative_information_score: 7510.9468, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9524, predictive_accuracy: 0.9513, prior_entropy: 1.2099, recall: 0.9513, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4218, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.0222, build_memory: 445452442.4, f_measure: 0.9377, kappa: 0.8656, kb_relative_information_score: 7253.0832, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 1.2099, recall: 0.938, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4617, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 1.2399, build_memory: 869727072.8, f_measure: 0.9363, kappa: 0.8609, kb_relative_information_score: 7338.7831, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9367, predictive_accuracy: 0.9361, prior_entropy: 1.2099, recall: 0.9361, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4779, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.2149, build_memory: 673630420.8, f_measure: 0.9369, kappa: 0.8621, kb_relative_information_score: 7367.6112, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9373, predictive_accuracy: 0.9367, prior_entropy: 1.2099, recall: 0.9367, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4753, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.9446, build_memory: 813141040, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 2.9382, build_memory: 680321766.4, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 3.0056, build_memory: 371922181.6, f_measure: 0.9365, kappa: 0.8611, kb_relative_information_score: 7362.9897, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9362, prior_entropy: 1.2099, recall: 0.9362, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4756, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8827, kappa: 0.7488, kb_relative_information_score: 6297.1205, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8836, predictive_accuracy: 0.884, prior_entropy: 1.2099, recall: 0.884, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6107, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5768, kb_relative_information_score: -13.652, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9172, kappa: 0.8197, kb_relative_information_score: 6942.8603, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.919, predictive_accuracy: 0.916, prior_entropy: 1.2099, recall: 0.916, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6062, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1973.8136, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8627, kappa: 0.698, kb_relative_information_score: 5577.8784, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8643, predictive_accuracy: 0.8755, prior_entropy: 1.2099, recall: 0.8755, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.738, scimark_benchmark: 1466.6185, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9369, kappa: 0.863, kb_relative_information_score: 7305.3506, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 1.2099, recall: 0.9366, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4683, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9423, kappa: 0.8727, kb_relative_information_score: 7318.7162, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9432, predictive_accuracy: 0.9438, prior_entropy: 1.2099, recall: 0.9438, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.496, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9274, kappa: 0.8419, kb_relative_information_score: 7075.4145, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9282, predictive_accuracy: 0.927, prior_entropy: 1.2099, recall: 0.927, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5652, scimark_benchmark: 1294.7826, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9551, kappa: 0.9017, kb_relative_information_score: 7672.1453, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9557, predictive_accuracy: 0.9546, prior_entropy: 1.2099, recall: 0.9546, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.407, scimark_benchmark: 1327.6929, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8618, kappa: 0.7079, kb_relative_information_score: 6010.2421, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8605, predictive_accuracy: 0.8672, prior_entropy: 1.2099, recall: 0.8672, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6233, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8427, kappa: 0.656, kb_relative_information_score: 5754.3197, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8416, predictive_accuracy: 0.8439, prior_entropy: 1.2099, recall: 0.8439, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7402, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 1368.9272, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8838, kappa: 0.7506, kb_relative_information_score: 5963.0803, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8856, predictive_accuracy: 0.8877, prior_entropy: 1.2099, recall: 0.8877, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7007, scimark_benchmark: 938.9967, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9282, kappa: 0.8438, kb_relative_information_score: 7017.8083, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9287, predictive_accuracy: 0.928, prior_entropy: 1.2099, recall: 0.928, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4698, scimark_benchmark: 895.5332, usercpu_time_millis: 1750, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.92, kappa: 0.8262, kb_relative_information_score: -97.5748, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9208, predictive_accuracy: 0.9201, prior_entropy: 1.2099, recall: 0.9201, relative_absolute_error: 1.1233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.9541, scimark_benchmark: 1321.527, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.6574, kappa: 0.2179, kb_relative_information_score: -1873.0869, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.631, predictive_accuracy: 0.7353, prior_entropy: 1.2099, recall: 0.7353, relative_absolute_error: 1.2265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3579, root_relative_squared_error: 1.0585, scimark_benchmark: 930.5999, usercpu_time_millis: 2100, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8813, kappa: 0.743, kb_relative_information_score: 5293.8197, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8866, predictive_accuracy: 0.8903, prior_entropy: 1.2099, recall: 0.8903, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6166, scimark_benchmark: 869.6028, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8769, kappa: 0.7336, kb_relative_information_score: 5201.0651, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8833, predictive_accuracy: 0.8869, prior_entropy: 1.2099, recall: 0.8869, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6219, scimark_benchmark: 924.3698, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.888, kappa: 0.7649, kb_relative_information_score: 6117.4934, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8906, predictive_accuracy: 0.8916, prior_entropy: 1.2099, recall: 0.8916, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.191, root_relative_squared_error: 0.565, scimark_benchmark: 1307.8606, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8909, kappa: 0.7704, kb_relative_information_score: 6144.9077, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8934, predictive_accuracy: 0.8939, prior_entropy: 1.2099, recall: 0.8939, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5611, scimark_benchmark: 1034.2235, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9156, kappa: 0.8192, kb_relative_information_score: 6552.2759, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9168, predictive_accuracy: 0.9166, prior_entropy: 1.2099, recall: 0.9166, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5124, scimark_benchmark: 1310.6407, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9271, kappa: 0.8416, kb_relative_information_score: 6984.1159, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9277, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4706, scimark_benchmark: 1311.9814, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.5768, kb_relative_information_score: 2111.2097, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8515, scimark_benchmark: 1328.8457, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8748, kappa: 0.737, kb_relative_information_score: 6078.8254, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8732, predictive_accuracy: 0.8873, prior_entropy: 1.2099, recall: 0.8873, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5939, scimark_benchmark: 1314.0383, usercpu_time_millis: 3060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 1268.9931, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8309, kappa: 0.6392, kb_relative_information_score: 4616.6425, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8392, predictive_accuracy: 0.8284, prior_entropy: 1.2099, recall: 0.8284, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7652, scimark_benchmark: 1301.2156, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9336, kappa: 0.8513, kb_relative_information_score: 7180.6698, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9409, predictive_accuracy: 0.9294, prior_entropy: 1.2099, recall: 0.9294, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.5557, scimark_benchmark: 1316.7714, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8819, kappa: 0.7443, kb_relative_information_score: 5302.6105, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.887, predictive_accuracy: 0.8907, prior_entropy: 1.2099, recall: 0.8907, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.616, scimark_benchmark: 1305.7231, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9181, kappa: 0.8265, kb_relative_information_score: 5813.2205, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9224, predictive_accuracy: 0.9223, prior_entropy: 1.2099, recall: 0.9223, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5586, scimark_benchmark: 1307.3764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8942, kappa: 0.7732, kb_relative_information_score: 5881.3697, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8968, predictive_accuracy: 0.8955, prior_entropy: 1.2099, recall: 0.8955, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.196, root_relative_squared_error: 0.5798, scimark_benchmark: 1349.9741, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.5768, kb_relative_information_score: 2102.6204, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8521, scimark_benchmark: 896.937, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8831, kappa: 0.7497, kb_relative_information_score: 6301.8812, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8839, predictive_accuracy: 0.8845, prior_entropy: 1.2099, recall: 0.8845, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6101, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9362, kappa: 0.8607, kb_relative_information_score: 7299.4126, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.937, predictive_accuracy: 0.9356, prior_entropy: 1.2099, recall: 0.9356, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.477, scimark_benchmark: 1339.8573, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9438, kappa: 0.8773, kb_relative_information_score: 7408.5787, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.2099, recall: 0.9438, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4567, scimark_benchmark: 1314.0383, usercpu_time_millis: 3870, usercpu_time_millis_training: 3870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8992, kappa: 0.7822, kb_relative_information_score: 5678.2935, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9032, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5782, scimark_benchmark: 1331.2332, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.5774, kappa: 0.0017, kb_relative_information_score: 2108.1897, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.5795, predictive_accuracy: 0.7005, prior_entropy: 1.2099, recall: 0.7005, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8524, scimark_benchmark: 1342.1678, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9486, kappa: 0.8877, kb_relative_information_score: 7671.0376, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9494, predictive_accuracy: 0.9484, prior_entropy: 1.2099, recall: 0.9484, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.14, root_relative_squared_error: 0.414, scimark_benchmark: 1340.1351, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8474, kappa: 0.6722, kb_relative_information_score: 4339.7234, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8663, predictive_accuracy: 0.8662, prior_entropy: 1.2099, recall: 0.8662, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.231, root_relative_squared_error: 0.6833, scimark_benchmark: 1318.6149, usercpu_time_millis: 3500, usercpu_time_millis_testing: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 1345.7204, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8411, kappa: 0.6552, kb_relative_information_score: 4989.7024, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8449, predictive_accuracy: 0.8499, prior_entropy: 1.2099, recall: 0.8499, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6733, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 1343.4596, usercpu_time_millis: 500, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1322.7383,

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