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Function: require_once

OpenML
Task
Supervised Classification on vote

Supervised Classification on vote

Task 1819 Supervised Classification vote 367 runs submitted
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367 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9219, kappa: 0.8367, kb_relative_information_score: 1764.6794, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9243, predictive_accuracy: 0.9214, prior_entropy: 0.9627, recall: 0.9214, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4918, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9123, kappa: 0.8145, kb_relative_information_score: 1764.4736, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9124, predictive_accuracy: 0.9126, prior_entropy: 0.9627, recall: 0.9126, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6071, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9269, kappa: 0.8456, kb_relative_information_score: 1831.3265, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9268, predictive_accuracy: 0.9269, prior_entropy: 0.9627, recall: 0.9269, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5553, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9349, kappa: 0.8633, kb_relative_information_score: 1867.9878, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9356, predictive_accuracy: 0.9347, prior_entropy: 0.9627, recall: 0.9347, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5248, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9532, kappa: 0.9016, kb_relative_information_score: 1954.2496, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9536, predictive_accuracy: 0.9531, prior_entropy: 0.9627, recall: 0.9531, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4448, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9528, kappa: 0.9007, kb_relative_information_score: 1811.0123, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9532, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4104, scimark_benchmark: 915.9324, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9504, kappa: 0.8955, kb_relative_information_score: 1941.3103, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9505, predictive_accuracy: 0.9503, prior_entropy: 0.9627, recall: 0.9503, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4577, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9509, kappa: 0.8965, kb_relative_information_score: 1857.5546, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.9627, recall: 0.9508, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3979, scimark_benchmark: 1310.3951, usercpu_time_millis: 2470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8995, kappa: 0.7899, kb_relative_information_score: 1696.4512, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 0.9627, recall: 0.8989, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6249, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9395, kappa: 0.8728, kb_relative_information_score: 1847.9816, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9401, predictive_accuracy: 0.9393, prior_entropy: 0.9627, recall: 0.9393, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4506, scimark_benchmark: 825.5282, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9568, kappa: 0.9091, kb_relative_information_score: 1838.4586, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3808, scimark_benchmark: 1066.7184, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9407, kappa: 0.8748, kb_relative_information_score: 1871.4037, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9406, predictive_accuracy: 0.9407, prior_entropy: 0.9627, recall: 0.9407, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4658, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9565, kappa: 0.9085, kb_relative_information_score: 1841.849, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4055, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9533, kappa: 0.9018, kb_relative_information_score: 1820.3671, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.9627, recall: 0.9531, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4222, scimark_benchmark: 1354.2491, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9483, kappa: 0.8914, kb_relative_information_score: 1930.5276, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9491, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4682, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7467, kappa: 0.463, kb_relative_information_score: 1085.1616, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.7936, predictive_accuracy: 0.7678, prior_entropy: 0.9627, recall: 0.7678, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9897, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9513, kappa: 0.8972, kb_relative_information_score: 1875.0681, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.41, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9529, kappa: 0.9013, kb_relative_information_score: 1952.093, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9543, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.447, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.941, kappa: 0.8765, kb_relative_information_score: 1896.0229, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9427, predictive_accuracy: 0.9407, prior_entropy: 0.9627, recall: 0.9407, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5002, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4669, kb_relative_information_score: -1.1365, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9527, kappa: 0.9005, kb_relative_information_score: 1851.7494, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.953, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4173, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 0.6181, build_memory: 2002631465.4198, f_measure: 0.9441, kappa: 0.8824, kb_relative_information_score: 1907.9157, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9445, predictive_accuracy: 0.9439, prior_entropy: 0.9627, recall: 0.9439, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4819, scimark_benchmark: 922.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.3921, build_memory: 731283417.0777, f_measure: 0.9422, kappa: 0.8786, kb_relative_information_score: 1901.2791, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9427, predictive_accuracy: 0.9421, prior_entropy: 0.9627, recall: 0.9421, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4882, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, build_cpu_time: 0.2698, build_memory: 853061488.1986, f_measure: 0.9436, kappa: 0.8815, kb_relative_information_score: 1905.9619, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9441, predictive_accuracy: 0.9434, prior_entropy: 0.9627, recall: 0.9434, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4843, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, build_cpu_time: 0.1473, build_memory: 1285338757.5172, f_measure: 0.9431, kappa: 0.8804, kb_relative_information_score: 1907.056, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9435, predictive_accuracy: 0.943, prior_entropy: 0.9627, recall: 0.943, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4787, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 0.0926, build_memory: 980796880.0625, f_measure: 0.9436, kappa: 0.8812, kb_relative_information_score: 1907.4398, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9438, predictive_accuracy: 0.9434, prior_entropy: 0.9627, recall: 0.9434, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4742, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 0.0091, build_memory: 710789633.6, f_measure: 0.9467, kappa: 0.8879, kb_relative_information_score: 1910.0702, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9469, predictive_accuracy: 0.9467, prior_entropy: 0.9627, recall: 0.9467, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4496, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 0.0153, build_memory: 1347430438.3779, f_measure: 0.9513, kappa: 0.8976, kb_relative_information_score: 1931.3981, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9515, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.0348, build_memory: 134144238.2897, f_measure: 0.9518, kappa: 0.8987, kb_relative_information_score: 1938.7991, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4308, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 0.0232, build_memory: 1423313384.4193, f_measure: 0.9514, kappa: 0.8977, kb_relative_information_score: 1938.3336, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4314, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 0.0328, build_memory: 84479827.954, f_measure: 0.9514, kappa: 0.8977, kb_relative_information_score: 1938.3336, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 0.9627, recall: 0.9513, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4314, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 0.0198, build_memory: 1089672055.7168, f_measure: 0.9377, kappa: 0.8692, kb_relative_information_score: 1880.913, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9385, predictive_accuracy: 0.9375, prior_entropy: 0.9627, recall: 0.9375, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4817, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.0221, build_memory: 2218348603.0933, f_measure: 0.9382, kappa: 0.8702, kb_relative_information_score: 1882.1507, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.939, predictive_accuracy: 0.9379, prior_entropy: 0.9627, recall: 0.9379, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4799, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 0.066, build_memory: 55739690.9241, f_measure: 0.9504, kappa: 0.8956, kb_relative_information_score: 1928.7349, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9506, predictive_accuracy: 0.9503, prior_entropy: 0.9627, recall: 0.9503, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4489, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 1.6092, build_memory: 625172368.6106, f_measure: 0.9486, kappa: 0.8917, kb_relative_information_score: 1930.3877, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 0.9627, recall: 0.9485, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4592, scimark_benchmark: 883.1899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.567, build_memory: 856625484.3513, f_measure: 0.9472, kappa: 0.8886, kb_relative_information_score: 1924.1409, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9472, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4616, scimark_benchmark: 911.7126,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.0383, build_memory: 1339410681.8097, f_measure: 0.95, kappa: 0.8949, kb_relative_information_score: 1936.8515, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9627, recall: 0.9499, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4519, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 0.0035, build_memory: 380885762.8763, f_measure: 0.9481, kappa: 0.8908, kb_relative_information_score: 1894.0898, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9483, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3976, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 0.0005, build_memory: 369059840, f_measure: 0.9413, kappa: 0.8764, kb_relative_information_score: 1875.3626, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9416, predictive_accuracy: 0.9411, prior_entropy: 0.9627, recall: 0.9411, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.433, scimark_benchmark: 938.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 0.0581, build_memory: 53545362.6814, f_measure: 0.9568, kappa: 0.9091, kb_relative_information_score: 1838.4586, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9627, recall: 0.9568, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3808, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, build_cpu_time: 0.0017, build_memory: 665684874.2731, f_measure: 0.9551, kappa: 0.9057, kb_relative_information_score: 1846.8386, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9557, predictive_accuracy: 0.9549, prior_entropy: 0.9627, recall: 0.9549, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4263, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.0002, build_memory: 329146796.1122, f_measure: 0.9226, kappa: 0.8376, kb_relative_information_score: 1787.5764, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9236, predictive_accuracy: 0.9223, prior_entropy: 0.9627, recall: 0.9223, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5293, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 0.0115, build_memory: 1379005560.2023, f_measure: 0.9349, kappa: 0.8633, kb_relative_information_score: 1867.9878, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9356, predictive_accuracy: 0.9347, prior_entropy: 0.9627, recall: 0.9347, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5248, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 0.0079, build_memory: 598550173.3333, f_measure: 0.9532, kappa: 0.9016, kb_relative_information_score: 1954.2496, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9536, predictive_accuracy: 0.9531, prior_entropy: 0.9627, recall: 0.9531, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4448, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, build_cpu_time: 0.0358, build_memory: 53594200.0184, f_measure: 0.9491, kappa: 0.8928, kb_relative_information_score: 1934.8407, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9493, predictive_accuracy: 0.949, prior_entropy: 0.9627, recall: 0.949, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.464, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, build_cpu_time: 0.0082, build_memory: 20641765.0023, f_measure: 0.9284, kappa: 0.849, kb_relative_information_score: 1831.4124, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9285, predictive_accuracy: 0.9283, prior_entropy: 0.9627, recall: 0.9283, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5396, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 0.0004, build_memory: 33048409.2248, f_measure: 0.8991, kappa: 0.7894, kb_relative_information_score: 1701.3408, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9023, predictive_accuracy: 0.8984, prior_entropy: 0.9627, recall: 0.8984, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6169, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 0.0001, build_memory: 119067383.4998, f_measure: 0.8991, kappa: 0.7894, kb_relative_information_score: 1701.3408, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9023, predictive_accuracy: 0.8984, prior_entropy: 0.9627, recall: 0.8984, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6169, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.009, build_memory: 143586580.5205, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 1851.6221, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3853, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.0093, build_memory: 1149974378.4497, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 1851.6221, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3853, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.0091, build_memory: 406569332.8, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 1851.6221, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3853, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.0068, build_memory: 86661240.868, f_measure: 0.9482, kappa: 0.8909, kb_relative_information_score: 1913.0794, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9485, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4059, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 0.0058, build_memory: 276308755.5384, f_measure: 0.9482, kappa: 0.8909, kb_relative_information_score: 1913.0794, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9485, predictive_accuracy: 0.948, prior_entropy: 0.9627, recall: 0.948, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4059, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, build_cpu_time: 0.0003, build_memory: 946727917.5099, f_measure: 0.9529, kappa: 0.9013, kb_relative_information_score: 1952.093, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.9543, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.447, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 0.0011, build_memory: 449258016, f_measure: 0.9527, kappa: 0.9005, kb_relative_information_score: 1851.7494, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4742, number_of_instances: 2175, precision: 0.953, predictive_accuracy: 0.9526, prior_entropy: 0.9627, recall: 0.9526, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4173, scimark_benchmark: 945.6567,

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