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OpenML
Task
Supervised Classification on bank8FM

Supervised Classification on bank8FM

Task 3591 Supervised Classification bank8FM 541 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7679, kappa: 0.5135, kb_relative_information_score: 3591.125, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7821, predictive_accuracy: 0.7765, prior_entropy: 0.9731, recall: 0.7765, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.836, scimark_benchmark: 942.9518, usercpu_time_millis: 6760, usercpu_time_millis_testing: 6760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9388, kappa: 0.8736, kb_relative_information_score: 7127.7624, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9405, predictive_accuracy: 0.9385, prior_entropy: 0.9731, recall: 0.9385, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5055, scimark_benchmark: 1313.9994, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.759, kappa: 0.5048, kb_relative_information_score: 4427.3309, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8405, predictive_accuracy: 0.7823, prior_entropy: 0.9731, recall: 0.7823, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9509, scimark_benchmark: 887.6719, usercpu_time_millis: 195950, usercpu_time_millis_testing: 8730, usercpu_time_millis_training: 187220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9416, kappa: 0.8783, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918, scimark_benchmark: 1386.5717, usercpu_time_millis: 1920, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9419, kappa: 0.8793, kb_relative_information_score: 6862.6842, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 0.9731, recall: 0.942, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4097, scimark_benchmark: 938.343, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9421, kappa: 0.8795, kb_relative_information_score: 7191.1032, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4903, scimark_benchmark: 935.5075, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9423, kappa: 0.8799, kb_relative_information_score: 7195.326, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 0.9731, recall: 0.9424, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4892, scimark_benchmark: 1250.8301, usercpu_time_millis: 7490, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9135, kappa: 0.8191, kb_relative_information_score: 5379.5534, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9157, predictive_accuracy: 0.9143, prior_entropy: 0.9731, recall: 0.9143, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5315, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9237, kappa: 0.8408, kb_relative_information_score: 5892.8933, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 0.9731, recall: 0.9241, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4919, scimark_benchmark: 1363.434, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9242, kappa: 0.842, kb_relative_information_score: 6043.1895, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9247, predictive_accuracy: 0.9246, prior_entropy: 0.9731, recall: 0.9246, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4972, scimark_benchmark: 1250.8301, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9409, kappa: 0.877, kb_relative_information_score: 6760.7791, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.9731, recall: 0.9409, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4156, scimark_benchmark: 1361.1055, usercpu_time_millis: 3770, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9149, kappa: 0.8232, kb_relative_information_score: 6720.2696, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9149, predictive_accuracy: 0.9149, prior_entropy: 0.9731, recall: 0.9149, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5945, scimark_benchmark: 825.5282, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9304, kappa: 0.8552, kb_relative_information_score: 6629.788, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9304, predictive_accuracy: 0.9305, prior_entropy: 0.9731, recall: 0.9305, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4826, scimark_benchmark: 1306.6379, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9297, kappa: 0.8537, kb_relative_information_score: 6541.418, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9731, recall: 0.9299, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4919, scimark_benchmark: 1327.6929, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9241, kappa: 0.8417, kb_relative_information_score: 6887.0672, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9249, predictive_accuracy: 0.9246, prior_entropy: 0.9731, recall: 0.9246, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5598, scimark_benchmark: 1291.6995, usercpu_time_millis: 14980, usercpu_time_millis_testing: 7330, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.761, kappa: 0.5031, kb_relative_information_score: 4342.8764, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8041, predictive_accuracy: 0.7775, prior_entropy: 0.9731, recall: 0.7775, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9615, scimark_benchmark: 1355.7054, usercpu_time_millis: 4530, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.945, kappa: 0.8858, kb_relative_information_score: 7199.0367, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.945, predictive_accuracy: 0.9451, prior_entropy: 0.9731, recall: 0.9451, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4635, scimark_benchmark: 922.9039, usercpu_time_millis: 104090, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 103940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9188, kappa: 0.8312, kb_relative_information_score: 6558.9089, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9188, predictive_accuracy: 0.9188, prior_entropy: 0.9731, recall: 0.9188, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.4875, scimark_benchmark: 1358.4523, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7795, kappa: 0.5377, kb_relative_information_score: 4465.3354, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7852, predictive_accuracy: 0.7845, prior_entropy: 0.9731, recall: 0.7845, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9461, scimark_benchmark: 1351.788, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9239, kappa: 0.8426, kb_relative_information_score: 6872.2876, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9247, predictive_accuracy: 0.9237, prior_entropy: 0.9731, recall: 0.9237, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.563, scimark_benchmark: 1353.5686, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4455, kb_relative_information_score: -0.0636, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.3556, predictive_accuracy: 0.5963, prior_entropy: 0.9731, recall: 0.5963, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4906, root_relative_squared_error: 1, scimark_benchmark: 1503.3362, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9223, kappa: 0.8386, kb_relative_information_score: 6682.8436, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9223, predictive_accuracy: 0.9224, prior_entropy: 0.9731, recall: 0.9224, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5253, scimark_benchmark: 1465.2979, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9054, kappa: 0.8026, kb_relative_information_score: 6565.2388, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.906, predictive_accuracy: 0.9059, prior_entropy: 0.9731, recall: 0.9059, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6197, scimark_benchmark: 931.2336, usercpu_time_millis: 910, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.92, kappa: 0.8334, kb_relative_information_score: 6780.807, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9202, predictive_accuracy: 0.9203, prior_entropy: 0.9731, recall: 0.9203, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5517, scimark_benchmark: 932.3943, usercpu_time_millis: 540, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.921, kappa: 0.8355, kb_relative_information_score: 6766.5702, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9212, predictive_accuracy: 0.9213, prior_entropy: 0.9731, recall: 0.9213, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.512, scimark_benchmark: 941.7954, usercpu_time_millis: 540, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 923.7642, usercpu_time_millis: 540, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 894.7455, usercpu_time_millis: 540, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9277, kappa: 0.8494, kb_relative_information_score: 6881.858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9731, recall: 0.928, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5024, scimark_benchmark: 894.7455, usercpu_time_millis: 4980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9236, kappa: 0.8406, kb_relative_information_score: 6776.3689, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9245, predictive_accuracy: 0.9241, prior_entropy: 0.9731, recall: 0.9241, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.518, scimark_benchmark: 936.6206, usercpu_time_millis: 2580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9081, kappa: 0.8085, kb_relative_information_score: 6467.9141, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9083, predictive_accuracy: 0.9084, prior_entropy: 0.9731, recall: 0.9084, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5755, scimark_benchmark: 942.1229, usercpu_time_millis: 1230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 5.4426, build_memory: 630705982.9551, f_measure: 0.9403, kappa: 0.8758, kb_relative_information_score: 6787.324, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.9731, recall: 0.9403, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4267, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 7.7333, build_memory: 713915278.0303, f_measure: 0.9405, kappa: 0.8763, kb_relative_information_score: 6790.5441, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9405, predictive_accuracy: 0.9406, prior_entropy: 0.9731, recall: 0.9406, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4255, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 11.4832, build_memory: 932046597.1035, f_measure: 0.9403, kappa: 0.8758, kb_relative_information_score: 6790.0587, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.9731, recall: 0.9403, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4254, scimark_benchmark: 920.6725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 42.4115, build_memory: 1892949636.0098, f_measure: 0.9405, kappa: 0.8763, kb_relative_information_score: 6791.6958, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9405, predictive_accuracy: 0.9406, prior_entropy: 0.9731, recall: 0.9406, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4256, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, build_cpu_time: 4.2114, build_memory: 686568407.085, f_measure: 0.8668, kappa: 0.7226, kb_relative_information_score: 5892.5771, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8667, predictive_accuracy: 0.8672, prior_entropy: 0.9731, recall: 0.8672, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7288, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, build_cpu_time: 2.357, build_memory: 645048528.6895, f_measure: 0.8629, kappa: 0.7145, kb_relative_information_score: 5825.0424, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8629, predictive_accuracy: 0.8634, prior_entropy: 0.9731, recall: 0.8634, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7285, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 1.1881, build_memory: 759478721.1563, f_measure: 0.8678, kappa: 0.7247, kb_relative_information_score: 5840.4586, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8678, predictive_accuracy: 0.8683, prior_entropy: 0.9731, recall: 0.8683, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7062, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, build_cpu_time: 0.8141, build_memory: 1354121259.2588, f_measure: 0.866, kappa: 0.7208, kb_relative_information_score: 5704.8124, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8661, predictive_accuracy: 0.8666, prior_entropy: 0.9731, recall: 0.8666, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6925, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, build_cpu_time: 0.2741, build_memory: 638938889.9248, f_measure: 0.8562, kappa: 0.7003, kb_relative_information_score: 5443.9589, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8564, predictive_accuracy: 0.8569, prior_entropy: 0.9731, recall: 0.8569, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6777, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 0.5784, build_memory: 855766329.9111, f_measure: 0.9211, kappa: 0.8356, kb_relative_information_score: 6733.6088, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9213, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5019, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.7147, build_memory: 1675409049.9033, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.7001, build_memory: 1020921445.6904, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.7115, build_memory: 1590844808.1211, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.7231, build_memory: 1645717987.2412, f_measure: 0.9222, kappa: 0.838, kb_relative_information_score: 6746.2949, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5001, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, build_cpu_time: 4298.6125, build_memory: 50363873.4688, f_measure: 0.9082, kappa: 0.8085, kb_relative_information_score: 5895.3694, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9091, predictive_accuracy: 0.9088, prior_entropy: 0.9731, recall: 0.9088, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5265, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 7762.7702, build_memory: 806767663.1201, f_measure: 0.9247, kappa: 0.8435, kb_relative_information_score: 6504.3375, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 0.9731, recall: 0.9248, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4689, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, build_cpu_time: 15508.9812, build_memory: 140373750.5703, f_measure: 0.9363, kappa: 0.8677, kb_relative_information_score: 6841.0096, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9363, predictive_accuracy: 0.9364, prior_entropy: 0.9731, recall: 0.9364, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4372, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 30000.2906, build_memory: 648532928.3242, f_measure: 0.9409, kappa: 0.877, kb_relative_information_score: 7030.1718, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.9731, recall: 0.9409, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.434, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 1325.3151, build_memory: 372692918.251, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 7200.7354, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9731, recall: 0.9425, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4869, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 639.9267, build_memory: 1370830382.6289, f_measure: 0.9421, kappa: 0.8797, kb_relative_information_score: 7191.8375, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.4876, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, build_cpu_time: 310.1595, build_memory: 159830750.5117, f_measure: 0.9403, kappa: 0.876, kb_relative_information_score: 7155.923, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 0.9731, recall: 0.9403, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.494, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 159.176, build_memory: 201715322.416, f_measure: 0.9382, kappa: 0.8717, kb_relative_information_score: 7127.0677, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9382, predictive_accuracy: 0.9382, prior_entropy: 0.9731, recall: 0.9382, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.497, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, build_cpu_time: 78.3319, build_memory: 210345966.1455, f_measure: 0.938, kappa: 0.8712, kb_relative_information_score: 7090.1233, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9731, recall: 0.938, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.4962, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 9.2758, build_memory: 645340288.3037, f_measure: 0.9327, kappa: 0.86, kb_relative_information_score: 6893.5659, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9328, predictive_accuracy: 0.9329, prior_entropy: 0.9731, recall: 0.9329, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4721, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 16.2996, build_memory: 331452401.2539, f_measure: 0.9351, kappa: 0.865, kb_relative_information_score: 6942.4669, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9351, predictive_accuracy: 0.9352, prior_entropy: 0.9731, recall: 0.9352, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4683, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 28.8923, build_memory: 840036731.9268, f_measure: 0.9343, kappa: 0.8633, kb_relative_information_score: 6977.9789, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9342, predictive_accuracy: 0.9343, prior_entropy: 0.9731, recall: 0.9343, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4676, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 56.1734, build_memory: 1653841210.4356, f_measure: 0.9351, kappa: 0.8652, kb_relative_information_score: 7010.3539, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9351, predictive_accuracy: 0.9352, prior_entropy: 0.9731, recall: 0.9352, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4708, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, build_cpu_time: 15.5848, build_memory: 167493871.6572, f_measure: 0.9373, kappa: 0.8697, kb_relative_information_score: 7052.8569, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9372, predictive_accuracy: 0.9373, prior_entropy: 0.9731, recall: 0.9373, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4739, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, build_cpu_time: 15.868, build_memory: 752013337.584, f_measure: 0.9373, kappa: 0.8697, kb_relative_information_score: 7052.8569, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9372, predictive_accuracy: 0.9373, prior_entropy: 0.9731, recall: 0.9373, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4739, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 12.5254, build_memory: 767780119.4063, f_measure: 0.9365, kappa: 0.8681, kb_relative_information_score: 7029.6237, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9731, recall: 0.9365, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4753, scimark_benchmark: 913.3372,

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