OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 259 Supervised Classification credit-approval 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8718, kappa: 0.7433, kb_relative_information_score: 156.7009, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8742, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6586, scimark_benchmark: 1313.11, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1310.6554, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 154.6991, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5918, scimark_benchmark: 1345.7919, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1375.1578, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 1328.1785, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1299.5896, usercpu_time_millis: 46310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 46160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1296.9979, usercpu_time_millis: 39900, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 39750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1337.4384, usercpu_time_millis: 22370, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 22220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1371.174, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 1360.0477, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1260.1387, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8543, kappa: 0.7081, kb_relative_information_score: 152.9145, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8556, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6374, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1352.06, usercpu_time_millis: 400, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1322.7257, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1297.2338, usercpu_time_millis: 40290, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1345.7204, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7709, kappa: 0.5411, kb_relative_information_score: 108.9284, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7709, predictive_accuracy: 0.7709, prior_entropy: 0.9913, recall: 0.7709, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9146, scimark_benchmark: 1345.7204, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 142.315, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6493, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8415, kappa: 0.6825, kb_relative_information_score: 144.4193, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8416, predictive_accuracy: 0.8414, prior_entropy: 0.9913, recall: 0.8414, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6863, scimark_benchmark: 1342.1678, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.859, kappa: 0.7174, kb_relative_information_score: 111.5018, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6659, scimark_benchmark: 909.1698, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8633, kappa: 0.726, kb_relative_information_score: 106.4324, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8639, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6823, scimark_benchmark: 1347.5461, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 950.6776, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 154.6991, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5918, scimark_benchmark: 1331.2332, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 113.8877, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6833, scimark_benchmark: 1368.9272, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 154.6991, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5918, scimark_benchmark: 885.0921, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 112.2507, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6638, scimark_benchmark: 885.0921, usercpu_time_millis: 980, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8766, kappa: 0.7539, kb_relative_information_score: 146.469, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6163, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 142.315, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6493, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 134.6789, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6528, scimark_benchmark: 961.21, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8193, kappa: 0.6381, kb_relative_information_score: 143.3012, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8193, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7698, scimark_benchmark: 1324.8395, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 128.4064, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6701, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8763, kappa: 0.7522, kb_relative_information_score: 103.8574, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8782, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6862, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8811, kappa: 0.7625, kb_relative_information_score: 143.3641, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8838, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6064, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.85, kappa: 0.6993, kb_relative_information_score: 141.8086, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8509, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7191, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 154.3304, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6136, scimark_benchmark: 915.6729, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 152.9583, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 0.9913, recall: 0.8899, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6009, scimark_benchmark: 932.0242, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8722, kappa: 0.7451, kb_relative_information_score: 151.2501, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8762, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5909, scimark_benchmark: 1442.7264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8766, kappa: 0.7539, kb_relative_information_score: 151.8943, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.293, root_relative_squared_error: 0.585, scimark_benchmark: 942.9518, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.881, kappa: 0.7615, kb_relative_information_score: 143.4743, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8812, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6107, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.881, kappa: 0.7617, kb_relative_information_score: 143.4561, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.881, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6394, scimark_benchmark: 916.6405, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 143.501, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6625, scimark_benchmark: 939.5205, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8766, kappa: 0.7539, kb_relative_information_score: 172.5696, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7012, scimark_benchmark: 1313.9994, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 168.4991, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7259, scimark_benchmark: 882.7843, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8586, kappa: 0.7194, kb_relative_information_score: 164.4286, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7497, scimark_benchmark: 1287.514, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 113.8877, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6833, scimark_benchmark: 1321.527, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.7057, kappa: 0.4197, kb_relative_information_score: 97.2653, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7302, predictive_accuracy: 0.7137, prior_entropy: 0.9913, recall: 0.7137, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0684, scimark_benchmark: 1304.9611, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1355.9413, usercpu_time_millis: 34870, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 34730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8718, kappa: 0.7433, kb_relative_information_score: 156.7009, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8742, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6586, scimark_benchmark: 1346.9602, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1301.9956, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7354, kappa: 0.4698, kb_relative_information_score: 106.1891, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7356, predictive_accuracy: 0.7357, prior_entropy: 0.9913, recall: 0.7357, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0077, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 129.2644, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6697, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8503, kappa: 0.7006, kb_relative_information_score: 138.5659, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8515, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7019, scimark_benchmark: 1290.1085, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8193, kappa: 0.6378, kb_relative_information_score: 146.1114, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8194, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8486, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5257, kappa: 0.2041, kb_relative_information_score: 40.2783, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7435, predictive_accuracy: 0.5903, prior_entropy: 0.9913, recall: 0.5903, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6401, root_relative_squared_error: 1.278, scimark_benchmark: 1368.9272, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 152.2239, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6868, scimark_benchmark: 1341.2341, 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