OpenML
Supervised Classification on ar4

Supervised Classification on ar4

Task 4616 Supervised Classification ar4 205 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7919, kappa: 0.2941, kb_relative_information_score: 133.4589, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7865, predictive_accuracy: 0.7991, prior_entropy: 0.707, recall: 0.7991, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0522, scimark_benchmark: 1337.1928, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1350.007, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7919, kappa: 0.2941, kb_relative_information_score: 133.4589, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7865, predictive_accuracy: 0.7991, prior_entropy: 0.707, recall: 0.7991, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0522, scimark_benchmark: 1281.7531, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.8137, kappa: 0.3721, kb_relative_information_score: 306.2172, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8099, predictive_accuracy: 0.8187, prior_entropy: 0.707, recall: 0.8187, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.0351, scimark_benchmark: 1326.8946, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.804, kappa: 0.3105, kb_relative_information_score: 276.7236, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7983, predictive_accuracy: 0.8215, prior_entropy: 0.707, recall: 0.8215, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0411, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8125, kappa: 0.4012, kb_relative_information_score: 239.527, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8189, predictive_accuracy: 0.8075, prior_entropy: 0.707, recall: 0.8075, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9876, scimark_benchmark: 1059.8591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7574, kappa: 0.1074, kb_relative_information_score: 129.7347, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7597, predictive_accuracy: 0.8112, prior_entropy: 0.707, recall: 0.8112, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9152, scimark_benchmark: 1330.6015, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8299, kappa: 0.4259, kb_relative_information_score: 237.5898, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8265, predictive_accuracy: 0.8346, prior_entropy: 0.707, recall: 0.8346, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8846, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7876, kappa: 0.2644, kb_relative_information_score: 141.2697, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7796, predictive_accuracy: 0.8009, prior_entropy: 0.707, recall: 0.8009, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.0214, scimark_benchmark: 1006.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7643, kappa: 0.2673, kb_relative_information_score: 49.5735, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7793, predictive_accuracy: 0.7533, prior_entropy: 0.707, recall: 0.7533, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.274, scimark_benchmark: 1301.1661, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.7859, kappa: 0.2533, kb_relative_information_score: 271.6095, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7774, predictive_accuracy: 0.8019, prior_entropy: 0.707, recall: 0.8019, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.1043, scimark_benchmark: 1384.4422, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.7673, kappa: 0.212, kb_relative_information_score: 124.6367, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7611, predictive_accuracy: 0.7748, prior_entropy: 0.707, recall: 0.7748, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.2051, scimark_benchmark: 1341.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8299, kappa: 0.4259, kb_relative_information_score: 237.5898, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8265, predictive_accuracy: 0.8346, prior_entropy: 0.707, recall: 0.8346, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8846, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.8048, kappa: 0.3337, kb_relative_information_score: 190.2576, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7993, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0252, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7574, kappa: 0.1074, kb_relative_information_score: 126.0852, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7597, predictive_accuracy: 0.8112, prior_entropy: 0.707, recall: 0.8112, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9173, scimark_benchmark: 1342.2985, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7622, kappa: 0.1259, kb_relative_information_score: 122.4933, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.766, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9204, scimark_benchmark: 1345.7582, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7574, kappa: 0.1084, kb_relative_information_score: 121.5394, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7563, predictive_accuracy: 0.8093, prior_entropy: 0.707, recall: 0.8093, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9253, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7919, kappa: 0.2941, kb_relative_information_score: 133.4589, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7865, predictive_accuracy: 0.7991, prior_entropy: 0.707, recall: 0.7991, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0522, scimark_benchmark: 1335.5424, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8125, kappa: 0.4012, kb_relative_information_score: 239.527, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8189, predictive_accuracy: 0.8075, prior_entropy: 0.707, recall: 0.8075, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9876, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7876, kappa: 0.2644, kb_relative_information_score: 141.2697, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7796, predictive_accuracy: 0.8009, prior_entropy: 0.707, recall: 0.8009, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.0214, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.8041, kappa: 0.3505, kb_relative_information_score: 234.331, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8026, predictive_accuracy: 0.8056, prior_entropy: 0.707, recall: 0.8056, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3916, root_relative_squared_error: 1.0043, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8344, kappa: 0.4088, kb_relative_information_score: 121.0977, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8402, predictive_accuracy: 0.8542, prior_entropy: 0.707, recall: 0.8542, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.9032, scimark_benchmark: 1268.9931, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.8253, kappa: 0.4286, kb_relative_information_score: 208.8112, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8263, predictive_accuracy: 0.8243, prior_entropy: 0.707, recall: 0.8243, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9511, scimark_benchmark: 1205.8291, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.7673, kappa: 0.212, kb_relative_information_score: 136.9086, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7611, predictive_accuracy: 0.7748, prior_entropy: 0.707, recall: 0.7748, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.2172, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.8231, kappa: 0.3736, kb_relative_information_score: 406.5081, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8223, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223, scimark_benchmark: 1313.6093, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.7695, kappa: 0.1711, kb_relative_information_score: 54.5686, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7595, predictive_accuracy: 0.8009, prior_entropy: 0.707, recall: 0.8009, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.0137, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8299, kappa: 0.4259, kb_relative_information_score: 237.5898, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8265, predictive_accuracy: 0.8346, prior_entropy: 0.707, recall: 0.8346, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8846, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8276, kappa: 0.3917, kb_relative_information_score: 180.6056, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8264, predictive_accuracy: 0.8439, prior_entropy: 0.707, recall: 0.8439, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8818, scimark_benchmark: 1332.576, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.8105, kappa: 0.3503, kb_relative_information_score: 340.5697, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.805, predictive_accuracy: 0.8196, prior_entropy: 0.707, recall: 0.8196, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.0236, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8327, kappa: 0.4081, kb_relative_information_score: 185.7038, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8335, predictive_accuracy: 0.8495, prior_entropy: 0.707, recall: 0.8495, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8732, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7643, kappa: 0.2673, kb_relative_information_score: 49.5735, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7793, predictive_accuracy: 0.7533, prior_entropy: 0.707, recall: 0.7533, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.274, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8255, kappa: 0.392, kb_relative_information_score: 222.3931, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8218, predictive_accuracy: 0.8383, prior_entropy: 0.707, recall: 0.8383, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9027, scimark_benchmark: 1304.6687, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8218, kappa: 0.3684, kb_relative_information_score: 220.0957, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8209, predictive_accuracy: 0.8402, prior_entropy: 0.707, recall: 0.8402, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8852, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.7798, kappa: 0.21, kb_relative_information_score: 102.1011, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7724, predictive_accuracy: 0.8084, prior_entropy: 0.707, recall: 0.8084, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9915, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.7907, kappa: 0.2693, kb_relative_information_score: 114.3238, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7827, predictive_accuracy: 0.8065, prior_entropy: 0.707, recall: 0.8065, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.0096, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.8107, kappa: 0.3537, kb_relative_information_score: 315.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8055, predictive_accuracy: 0.8187, prior_entropy: 0.707, recall: 0.8187, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4258, root_relative_squared_error: 1.0921, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.8189, kappa: 0.383, kb_relative_information_score: 307.7925, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8143, predictive_accuracy: 0.8262, prior_entropy: 0.707, recall: 0.8262, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0196, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.7874, kappa: 0.2657, kb_relative_information_score: 239.4323, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7797, predictive_accuracy: 0.8, prior_entropy: 0.707, recall: 0.8, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.147, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.808, kappa: 0.3451, kb_relative_information_score: 303.9844, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8027, predictive_accuracy: 0.8159, prior_entropy: 0.707, recall: 0.8159, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7293, kb_relative_information_score: -5.9613, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.7994, kappa: 0.3118, kb_relative_information_score: 229.1601, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7932, predictive_accuracy: 0.8093, prior_entropy: 0.707, recall: 0.8093, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0726, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 8.8777, build_memory: 175564795.8953, f_measure: 0.8205, kappa: 0.3764, kb_relative_information_score: 178.5066, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8159, predictive_accuracy: 0.8327, prior_entropy: 0.707, recall: 0.8327, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.881, scimark_benchmark: 942.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, build_cpu_time: 1.2681, build_memory: 2187774416.4411, f_measure: 0.8322, kappa: 0.4185, kb_relative_information_score: 397.4689, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8286, predictive_accuracy: 0.843, prior_entropy: 0.707, recall: 0.843, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9934, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, build_cpu_time: 0.6516, build_memory: 964535609.0916, f_measure: 0.8339, kappa: 0.4257, kb_relative_information_score: 400.11, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8302, predictive_accuracy: 0.8439, prior_entropy: 0.707, recall: 0.8439, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9876, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, build_cpu_time: 0.4204, build_memory: 715080755.1776, f_measure: 0.832, kappa: 0.4216, kb_relative_information_score: 387.9574, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.828, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.997, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, build_cpu_time: 0.3639, build_memory: 680399446.7514, f_measure: 0.832, kappa: 0.4216, kb_relative_information_score: 387.9574, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.828, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.997, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, build_cpu_time: 0.2073, build_memory: 119338591.828, f_measure: 0.8227, kappa: 0.3866, kb_relative_information_score: 361.08, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8181, predictive_accuracy: 0.8336, prior_entropy: 0.707, recall: 0.8336, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0156, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, build_cpu_time: 0.2907, build_memory: 77952500.0598, f_measure: 0.8207, kappa: 0.3797, kb_relative_information_score: 259.5243, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8159, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.8607, scimark_benchmark: 944.9073,

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