OpenML
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 3599 Supervised Classification machine_cpu 652 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 164.4642, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5981, scimark_benchmark: 938.9865, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 163.5159, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4985, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, scimark_benchmark: 914.6385, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541, scimark_benchmark: 947.4269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 0.196, build_memory: 579306942.3923, f_measure: 0.915, kappa: 0.7762, kb_relative_information_score: 155.1439, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5411, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, build_cpu_time: 0.1507, build_memory: 1276486014.2392, f_measure: 0.915, kappa: 0.7762, kb_relative_information_score: 155.0606, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5379, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 0.1061, build_memory: 1071117597.4737, f_measure: 0.915, kappa: 0.7762, kb_relative_information_score: 155.0827, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5343, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 0.045, build_memory: 1257481933.3971, f_measure: 0.915, kappa: 0.7762, kb_relative_information_score: 155.549, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5286, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, build_cpu_time: 0.0058, build_memory: 126022828.555, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 169.1431, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5579, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.0122, build_memory: 473837362.2584, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.3561, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5798, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.0107, build_memory: 511448929.3014, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.3756, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5793, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.0118, build_memory: 202724292.4402, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.3756, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5793, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 0.0231, build_memory: 1152347532.2871, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.3756, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5793, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 0.0991, build_memory: 584459487.5789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 175.8791, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5183, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.0413, build_memory: 114159505.6077, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 176.7464, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.225, root_relative_squared_error: 0.5081, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, build_cpu_time: 0.031, build_memory: 2117377834.6029, f_measure: 0.9472, kappa: 0.8651, kb_relative_information_score: 177.8892, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4967, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, build_cpu_time: 0.009, build_memory: 2363434779.7129, f_measure: 0.9472, kappa: 0.8651, kb_relative_information_score: 178.2378, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4895, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, build_cpu_time: 0.0049, build_memory: 1312985041.8373, f_measure: 0.9519, kappa: 0.8766, kb_relative_information_score: 179.0329, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4834, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, build_cpu_time: 0.1987, build_memory: 628293595.2536, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 169.4079, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5419, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 0.306, build_memory: 598030932.9761, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 168.9354, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5435, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 0.5117, build_memory: 634465143.8086, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.8616, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5503, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 0.6061, build_memory: 1848818114.756, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.9657, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.55, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 0.5534, build_memory: 606663059.6746, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.9657, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.55, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 0.0298, build_memory: 577146767.5407, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 172.0946, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.532, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 0.0354, build_memory: 933675930.1435, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 172.1641, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5317, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, build_cpu_time: 0.0224, build_memory: 500066259.9809, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 173.1099, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5245, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_cpu_time: 0.011, build_memory: 1458737089.0718, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 172.2987, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.511, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.0035, build_memory: 308172787.5981, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 171.6379, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.5087, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0059, build_memory: 332642466.5646, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0061, build_memory: 1282259191.6938, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0066, build_memory: 1097850293.8947, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0075, build_memory: 911228482.8325, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0087, build_memory: 1583068932.7847, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, build_cpu_time: 1.0132, build_memory: 802298342.9282, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 172.2255, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4935, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, build_cpu_time: 2.1358, build_memory: 29031752.4976, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 172.4394, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5154, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 4.0377, build_memory: 793348460.823, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 173.422, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.5065, scimark_benchmark: 889.6909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0031, build_memory: 459252814.6986, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849, scimark_benchmark: 946.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 0.0006, build_memory: 690317918.3158, f_measure: 0.8769, kappa: 0.6899, kb_relative_information_score: 135.8539, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.879, predictive_accuracy: 0.8756, prior_entropy: 0.8417, recall: 0.8756, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7964, scimark_benchmark: 927.6633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0013, build_memory: 68564504, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 167.4791, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038, scimark_benchmark: 922.5645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, build_cpu_time: 0.0004, build_memory: 1279233360, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, build_cpu_time: 0.0003, build_memory: 302141304, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, build_cpu_time: 0.0002, build_memory: 256481688, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, build_cpu_time: 0.442, build_memory: 164874514.8708, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 159.5703, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5331, scimark_benchmark: 945.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 0.0855, build_memory: 346057400.4976, f_measure: 0.9415, kappa: 0.8485, kb_relative_information_score: 171.7342, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922, scimark_benchmark: 895.5844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 0.0536, build_memory: 553284945.799, f_measure: 0.9313, kappa: 0.8211, kb_relative_information_score: 169.4823, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5231, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 0.0394, build_memory: 433675661.2823, f_measure: 0.9313, kappa: 0.8211, kb_relative_information_score: 169.4823, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5231, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, build_cpu_time: 0.077, build_memory: 860073807.0813, f_measure: 0.936, kappa: 0.8329, kb_relative_information_score: 169.8244, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9389, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5207, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, build_cpu_time: 0.0694, build_memory: 901553768.1531, f_measure: 0.936, kappa: 0.8329, kb_relative_information_score: 169.8244, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9389, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5207, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 0.156, build_memory: 585217796.3254, f_measure: 0.936, kappa: 0.8329, kb_relative_information_score: 169.3044, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9389, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5213, scimark_benchmark: 942.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, build_cpu_time: 0.3355, build_memory: 608900073.8373, f_measure: 0.9308, kappa: 0.819, kb_relative_information_score: 167.9299, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9345, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5298, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.7268, build_memory: 1021140810.9091, f_measure: 0.9355, kappa: 0.8309, kb_relative_information_score: 166.5964, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9405, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5367, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 0.0474, build_memory: 81999956.2871, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 144.5457, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5194, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0045, build_memory: 54030569.4545, f_measure: 0.9516, kappa: 0.8752, kb_relative_information_score: 167.1231, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4567, scimark_benchmark: 947.4258,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs