Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 10 Supervised Classification lymph 904 runs submitted
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  • basic study_1 study_107 study_41 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8069, kappa: 0.6424, kb_relative_information_score: 86.6195, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8101, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8298, usercpu_time_millis: 3.619, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5818, kappa: 0.2044, kb_relative_information_score: 33.5168, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.5692, predictive_accuracy: 0.6014, prior_entropy: 1.2818, recall: 0.6014, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.4465, root_relative_squared_error: 1.2267, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 1.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8308, kappa: 0.6859, kb_relative_information_score: 99.7144, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8287, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7248, scimark_benchmark: 457.5718, usercpu_time_millis: 4120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.822, kappa: 0.6597, kb_relative_information_score: 91.1489, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8279, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.286, root_relative_squared_error: 0.7859, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8006, kappa: 0.6251, kb_relative_information_score: 85.3486, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8024, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8576, scimark_benchmark: 1254.1389, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7871, kappa: 0.602, kb_relative_information_score: 78.5021, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7956, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8312, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7575, kappa: 0.5265, kb_relative_information_score: 68.7282, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.781, predictive_accuracy: 0.7365, prior_entropy: 1.2818, recall: 0.7365, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.9041, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7435, kappa: 0.5316, kb_relative_information_score: 45.3738, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7364, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.8488, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8234, kappa: 0.6649, kb_relative_information_score: 92.1213, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8254, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.268, root_relative_squared_error: 0.7363, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8234, kappa: 0.6649, kb_relative_information_score: 92.1213, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8254, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.268, root_relative_squared_error: 0.7363, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7972, kappa: 0.6245, kb_relative_information_score: 69.1318, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7938, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.7448, scimark_benchmark: 939.3676, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7665, kappa: 0.5639, kb_relative_information_score: 73.1441, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8654, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.751, kappa: 0.5354, kb_relative_information_score: 69.0986, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7466, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8667, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.78, kappa: 0.5923, kb_relative_information_score: 68.8991, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7736, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7464, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 974.2014, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7665, kappa: 0.5639, kb_relative_information_score: 73.1441, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8654, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.751, kappa: 0.5354, kb_relative_information_score: 69.0986, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7466, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8667, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.78, kappa: 0.5923, kb_relative_information_score: 68.8991, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7736, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7464, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 945.6228, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7665, kappa: 0.5639, kb_relative_information_score: 73.1441, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8654, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 1322.3407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 1347.6543, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.751, kappa: 0.5354, kb_relative_information_score: 69.0986, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7466, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8667, scimark_benchmark: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.78, kappa: 0.5923, kb_relative_information_score: 68.8991, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7736, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7464, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 1339.6197, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8405, kappa: 0.7016, kb_relative_information_score: 95.3291, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8411, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.7659, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1356.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 1351.1238, usercpu_time_millis: 450, usercpu_time_millis_training: 450,

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