Task
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 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: 0.7842, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 41.6462, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 40.2944, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8187, kappa: 0.6286, kb_relative_information_score: 44.8538, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 52.005, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.8901, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6517, kappa: 0.3, kb_relative_information_score: 16.7128, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6598, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7688, kappa: 0.5267, kb_relative_information_score: 51.3297, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.769, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6695, kappa: 0.3249, kb_relative_information_score: 29.3304, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6691, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 64.2113, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.809, kappa: 0.6091, kb_relative_information_score: 57.474, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.88, kappa: 0.7552, kb_relative_information_score: 54.9594, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9864, recall: 0.88, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.88, kappa: 0.7552, kb_relative_information_score: 54.9594, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9864, recall: 0.88, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6495, kappa: 0.284, kb_relative_information_score: 16.415, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6491, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 27.9039, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.809, kappa: 0.6091, kb_relative_information_score: 45.5423, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 41.4392, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7688, kappa: 0.5267, kb_relative_information_score: 39.3277, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.769, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 64.0946, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 64.0946, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7487, kappa: 0.4856, kb_relative_information_score: 41.2082, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7488, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.88, kappa: 0.7552, kb_relative_information_score: 75.279, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9864, recall: 0.88, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6808, kappa: 0.3509, kb_relative_information_score: 34.6639, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6821, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.6512, kappa: 0.2921, kb_relative_information_score: 21.2717, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6535, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8306, kappa: 0.6561, kb_relative_information_score: 52.4171, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8326, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7889, kappa: 0.5679, kb_relative_information_score: 56.7799, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7893, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.88, kappa: 0.7552, kb_relative_information_score: 75.279, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9864, recall: 0.88, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 42.3296, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7589, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6808, kappa: 0.3509, kb_relative_information_score: 34.6639, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6821, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7487, kappa: 0.4856, kb_relative_information_score: 26.091, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7488, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 41.1985, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 52.669, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6321, kappa: 0.275, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7029, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7508, kappa: 0.4943, kb_relative_information_score: 48.5581, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0099, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7508, kappa: 0.4943, kb_relative_information_score: 48.5581, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0099, scimark_benchmark: 1333.0874, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1613.106, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6321, kappa: 0.275, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7029, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 1386.2765, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7179, kappa: 0.4222, kb_relative_information_score: 36.9818, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7182, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9676, scimark_benchmark: 1908.2191, usercpu_time_millis: 421.875, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7296, kappa: 0.4476, kb_relative_information_score: 42.9131, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7293, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0253, scimark_benchmark: 1908.2191, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6978, kappa: 0.3809, kb_relative_information_score: 40.5196, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6978, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0017, scimark_benchmark: 1377.7211, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4925, kappa: 0.072, kb_relative_information_score: 11.2801, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5576, predictive_accuracy: 0.51, prior_entropy: 0.9864, recall: 0.51, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.1385, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6914, kappa: 0.3835, kb_relative_information_score: 15.0068, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.704, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9394, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 60.23, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7163, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.6517, kappa: 0.3, kb_relative_information_score: 16.925, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6598, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9548, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0877, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 65.0017, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8328, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6683, kappa: 0.321, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6678, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.809, kappa: 0.6091, kb_relative_information_score: 51.1161, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7978, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7897, kappa: 0.5704, kb_relative_information_score: 46.8227, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7895, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8344, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 51.858, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7708, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.8901, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8417, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.7703, kappa: 0.5321, kb_relative_information_score: 52.669, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7708, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 58.8354, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7703, kappa: 0.5321, kb_relative_information_score: 45.7226, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7708, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9032, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6808, kappa: 0.3509, kb_relative_information_score: 34.6639, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6821, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.096, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 56.5374, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7891, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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