OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1326.2019, usercpu_time_millis: 18870, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 18720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1350.8432, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7139, kappa: 0.4201, kb_relative_information_score: 1481.7355, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7221, predictive_accuracy: 0.7197, prior_entropy: 0.9913, recall: 0.7197, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.0653, scimark_benchmark: 1362.1309, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1319.5773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1253.0071, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8523, kappa: 0.7027, kb_relative_information_score: 1977.6364, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8552, predictive_accuracy: 0.8519, prior_entropy: 0.9913, recall: 0.8519, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1325.1654, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1352.9931, usercpu_time_millis: 400, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1330.2425, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1330.3852, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1350.8432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1354.5533, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 940.3347, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 1326.8946, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1341.5795, usercpu_time_millis: 25250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 25110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1360.6585, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1151.6869,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8451, kappa: 0.6889, kb_relative_information_score: 1908.4898, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8497, predictive_accuracy: 0.8446, prior_entropy: 0.9913, recall: 0.8446, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6937, scimark_benchmark: 1335.693, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1326.6647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 1919.2849, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6955, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8227, kappa: 0.6406, kb_relative_information_score: 2115.3502, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8226, predictive_accuracy: 0.8229, prior_entropy: 0.9913, recall: 0.8229, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8014, scimark_benchmark: 918.6005, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 2106.9095, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6965, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1341.7207, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.843, kappa: 0.6824, kb_relative_information_score: 2153.1158, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8432, predictive_accuracy: 0.8429, prior_entropy: 0.9913, recall: 0.8429, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6845, scimark_benchmark: 1321.8733, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8495, kappa: 0.6957, kb_relative_information_score: 2130.7521, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8499, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6648, scimark_benchmark: 1343.4572, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.852, kappa: 0.7023, kb_relative_information_score: 2055.7655, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8553, predictive_accuracy: 0.8516, prior_entropy: 0.9913, recall: 0.8516, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.332, root_relative_squared_error: 0.668, scimark_benchmark: 1323.976, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7649, kappa: 0.5258, kb_relative_information_score: 1872.4028, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7878, predictive_accuracy: 0.7728, prior_entropy: 0.9913, recall: 0.7728, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8797, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8372, kappa: 0.6721, kb_relative_information_score: 2303.9771, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8395, predictive_accuracy: 0.8368, prior_entropy: 0.9913, recall: 0.8368, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8129, scimark_benchmark: 1332.4146, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8336, kappa: 0.6639, kb_relative_information_score: 2082.7369, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8344, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7213, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.8051, kappa: 0.6047, kb_relative_information_score: 2075.3154, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8051, predictive_accuracy: 0.8055, prior_entropy: 0.9913, recall: 0.8055, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8849, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8369, kappa: 0.6708, kb_relative_information_score: 404.2961, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8382, predictive_accuracy: 0.8365, prior_entropy: 0.9913, recall: 0.8365, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9344, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1876.5781, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7895, predictive_accuracy: 0.7751, prior_entropy: 0.9913, recall: 0.7751, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8846, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8533, kappa: 0.7031, kb_relative_information_score: 1606.5857, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8534, predictive_accuracy: 0.8533, prior_entropy: 0.9913, recall: 0.8533, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898, scimark_benchmark: 860.584, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8419, kappa: 0.6799, kb_relative_information_score: 1580.9647, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8419, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7037, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8494, kappa: 0.6968, kb_relative_information_score: 2047.4786, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8522, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.335, root_relative_squared_error: 0.674, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8485, kappa: 0.6944, kb_relative_information_score: 2010.6323, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8501, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7081, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8494, kappa: 0.6954, kb_relative_information_score: 2223.9147, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8496, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6817, scimark_benchmark: 915.6729, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8525, kappa: 0.7014, kb_relative_information_score: 2208.7199, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 0.9913, recall: 0.8525, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6661, scimark_benchmark: 854.5188, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.853, kappa: 0.7029, kb_relative_information_score: 2195.7788, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8535, predictive_accuracy: 0.8528, prior_entropy: 0.9913, recall: 0.8528, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6521, scimark_benchmark: 1336.2509, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8573, kappa: 0.7118, kb_relative_information_score: 2139.9676, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8581, predictive_accuracy: 0.8571, prior_entropy: 0.9913, recall: 0.8571, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6487, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8499, kappa: 0.6969, kb_relative_information_score: 2077.4918, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.851, predictive_accuracy: 0.8496, prior_entropy: 0.9913, recall: 0.8496, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6604, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs