Task
Supervised Classification on cloud

Supervised Classification on cloud

Task 4458 Supervised Classification cloud 224 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7034, kappa: 0.257, kb_relative_information_score: 131.4905, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.7103, predictive_accuracy: 0.7333, prior_entropy: 0.8813, recall: 0.7333, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9304, scimark_benchmark: 2111.7516, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 479.7533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.8074, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8976, kappa: 0.7555, kb_relative_information_score: 516.0579, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8982, predictive_accuracy: 0.8972, prior_entropy: 0.8813, recall: 0.8972, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6864, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8607, kappa: 0.6651, kb_relative_information_score: 585.4571, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8604, predictive_accuracy: 0.8611, prior_entropy: 0.8813, recall: 0.8611, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7621, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7449, kappa: 0.3607, kb_relative_information_score: 296.5067, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.781, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8294, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.5731, kappa: -0.0559, kb_relative_information_score: -75.2468, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.5308, predictive_accuracy: 0.662, prior_entropy: 0.8813, recall: 0.662, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0569, scimark_benchmark: 934.2976, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 419.2156, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.8082, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7034, kappa: 0.257, kb_relative_information_score: 131.4905, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.7103, predictive_accuracy: 0.7333, prior_entropy: 0.8813, recall: 0.7333, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9304, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 444.8443, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.8079, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7034, kappa: 0.257, kb_relative_information_score: 131.4905, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.7103, predictive_accuracy: 0.7333, prior_entropy: 0.8813, recall: 0.7333, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9304, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 479.7533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.8074, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8976, kappa: 0.7555, kb_relative_information_score: 516.0579, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8982, predictive_accuracy: 0.8972, prior_entropy: 0.8813, recall: 0.8972, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6864, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8607, kappa: 0.6651, kb_relative_information_score: 585.4571, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8604, predictive_accuracy: 0.8611, prior_entropy: 0.8813, recall: 0.8611, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7621, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 444.8443, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.8079, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7449, kappa: 0.3607, kb_relative_information_score: 296.5067, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.781, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8294, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.5731, kappa: -0.0559, kb_relative_information_score: -75.2468, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.5308, predictive_accuracy: 0.662, prior_entropy: 0.8813, recall: 0.662, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0569, scimark_benchmark: 938.4601, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 419.2156, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.8082, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7034, kappa: 0.257, kb_relative_information_score: 131.4905, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.7103, predictive_accuracy: 0.7333, prior_entropy: 0.8813, recall: 0.7333, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9304, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.5813, kb_relative_information_score: 20.2105, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9861, scimark_benchmark: 901.4991, usercpu_time_millis: 360, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.5804, kappa: -0.0037, kb_relative_information_score: 19.5987, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.4948, predictive_accuracy: 0.7019, prior_entropy: 0.8813, recall: 0.7019, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9876, scimark_benchmark: 906.5979, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.5809, kappa: -0.0018, kb_relative_information_score: 21.1821, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.495, predictive_accuracy: 0.7028, prior_entropy: 0.8813, recall: 0.7028, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9862, scimark_benchmark: 935.3212, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5835, kappa: 0.0044, kb_relative_information_score: 25.9861, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.792, predictive_accuracy: 0.7046, prior_entropy: 0.8813, recall: 0.7046, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9842, scimark_benchmark: 944.235, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5912, kappa: 0.015, kb_relative_information_score: 29.6066, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.645, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9814, scimark_benchmark: 930.0025, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8748, kappa: 0.6956, kb_relative_information_score: 596.7307, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8747, predictive_accuracy: 0.8769, prior_entropy: 0.8813, recall: 0.8769, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7087, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8748, kappa: 0.6956, kb_relative_information_score: 596.7307, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8747, predictive_accuracy: 0.8769, prior_entropy: 0.8813, recall: 0.8769, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7087, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8728, kappa: 0.6904, kb_relative_information_score: 594.1649, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8728, predictive_accuracy: 0.875, prior_entropy: 0.8813, recall: 0.875, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7072, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8631, kappa: 0.6615, kb_relative_information_score: 714.2223, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8694, prior_entropy: 0.8813, recall: 0.8694, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7913, scimark_benchmark: 1317.7919, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.5731, kappa: -0.0559, kb_relative_information_score: -75.2468, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.5308, predictive_accuracy: 0.662, prior_entropy: 0.8813, recall: 0.662, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0569, scimark_benchmark: 1309.0674, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, f_measure: 0.5731, kappa: -0.0559, kb_relative_information_score: -75.2468, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.5308, predictive_accuracy: 0.662, prior_entropy: 0.8813, recall: 0.662, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.0569, scimark_benchmark: 1313.9976, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8616, kappa: 0.6671, kb_relative_information_score: 587.6437, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8612, predictive_accuracy: 0.862, prior_entropy: 0.8813, recall: 0.862, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7599, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 444.8443, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.8079, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8148, kappa: 0.5371, kb_relative_information_score: 460.6742, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.8365, predictive_accuracy: 0.8306, prior_entropy: 0.8813, recall: 0.8306, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8125, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7449, kappa: 0.3607, kb_relative_information_score: 296.5067, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4185, number_of_instances: 1080, precision: 0.781, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8294, scimark_benchmark: 1337.3324,

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