OpenML
Supervised Classification on fri_c1_1000_5

Supervised Classification on fri_c1_1000_5

Task 3609 Supervised Classification fri_c1_1000_5 398 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8799, kappa: 0.7577, kb_relative_information_score: 432.0444, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9947, recall: 0.88, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6937, scimark_benchmark: 923.7471, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7271, kappa: 0.4493, kb_relative_information_score: 186.2726, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7274, predictive_accuracy: 0.728, prior_entropy: 0.9947, recall: 0.728, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8939, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8536, kappa: 0.7046, kb_relative_information_score: 609.0253, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8542, predictive_accuracy: 0.854, prior_entropy: 0.9947, recall: 0.854, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6816, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 926.4745, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8575, kappa: 0.7124, kb_relative_information_score: 592.1873, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9947, recall: 0.858, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6457, scimark_benchmark: 934.929, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 928.8135, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8878, kappa: 0.7737, kb_relative_information_score: 682.1101, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9947, recall: 0.888, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5492, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7241, kappa: 0.4445, kb_relative_information_score: 252.5423, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.724, prior_entropy: 0.9947, recall: 0.724, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 942.3809, usercpu_time_millis: 31140, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 30990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.874, kappa: 0.7459, kb_relative_information_score: 662.3265, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9947, recall: 0.874, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6438, scimark_benchmark: 928.8135, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 942.3809, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8536, kappa: 0.7046, kb_relative_information_score: 609.0253, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8542, predictive_accuracy: 0.854, prior_entropy: 0.9947, recall: 0.854, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6816, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 1354.1768, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 1292.514, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7241, kappa: 0.4445, kb_relative_information_score: 252.5423, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.724, prior_entropy: 0.9947, recall: 0.724, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 1340.9446, usercpu_time_millis: 16510, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 16400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.874, kappa: 0.7459, kb_relative_information_score: 662.3265, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9947, recall: 0.874, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6438, scimark_benchmark: 1340.9446, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 1353.0836, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9291, kappa: 0.8576, kb_relative_information_score: 856.4576, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9304, predictive_accuracy: 0.929, prior_entropy: 0.9947, recall: 0.929, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5349, scimark_benchmark: 1321.0448, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8878, kappa: 0.7737, kb_relative_information_score: 682.1101, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9947, recall: 0.888, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5492, scimark_benchmark: 1325.8468, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 1317.5857, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 747.8429, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9947, recall: 0.925, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4789, scimark_benchmark: 1352.1128, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 1059.8591, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8481, kappa: 0.6943, kb_relative_information_score: 569.4154, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9947, recall: 0.848, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6814, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8506, kappa: 0.6986, kb_relative_information_score: 608.671, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 0.9947, recall: 0.851, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6444, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8575, kappa: 0.7124, kb_relative_information_score: 592.1873, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9947, recall: 0.858, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6457, scimark_benchmark: 1320.9026, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.915, kappa: 0.8288, kb_relative_information_score: 771.0706, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9151, predictive_accuracy: 0.915, prior_entropy: 0.9947, recall: 0.915, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5068, scimark_benchmark: 934.4732, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.7012, kappa: 0.3987, kb_relative_information_score: 193.9584, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.7017, predictive_accuracy: 0.701, prior_entropy: 0.9947, recall: 0.701, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9184, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9028, kappa: 0.8038, kb_relative_information_score: 688.8752, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.9034, predictive_accuracy: 0.903, prior_entropy: 0.9947, recall: 0.903, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5311, scimark_benchmark: 854.5188, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 1343.2125, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8575, kappa: 0.7124, kb_relative_information_score: 592.1873, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9947, recall: 0.858, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6457, scimark_benchmark: 916.5769, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8536, kappa: 0.7046, kb_relative_information_score: 609.0253, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8542, predictive_accuracy: 0.854, prior_entropy: 0.9947, recall: 0.854, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6816, scimark_benchmark: 1338.9438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8969, kappa: 0.7921, kb_relative_information_score: 743.2226, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.897, predictive_accuracy: 0.897, prior_entropy: 0.9947, recall: 0.897, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5869, scimark_benchmark: 1064.8317, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8002, kappa: 0.5977, kb_relative_information_score: 595.6943, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9947, recall: 0.8, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8978, scimark_benchmark: 923.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8539, kappa: 0.7055, kb_relative_information_score: 629.0052, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9947, recall: 0.854, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6299, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8536, kappa: 0.7046, kb_relative_information_score: 609.0253, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8542, predictive_accuracy: 0.854, prior_entropy: 0.9947, recall: 0.854, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6816, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8493, kappa: 0.6958, kb_relative_information_score: 471.3633, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9947, recall: 0.85, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6908, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.869, kappa: 0.7359, kb_relative_information_score: 713.4277, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8689, predictive_accuracy: 0.869, prior_entropy: 0.9947, recall: 0.869, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6833, scimark_benchmark: 1319.4881, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8847, kappa: 0.7674, kb_relative_information_score: 569.3755, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4963, number_of_instances: 1000, precision: 0.8853, predictive_accuracy: 0.885, prior_entropy: 0.9947, recall: 0.885, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6105, scimark_benchmark: 1322.4968, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, 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