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: 0.7383, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 38.6899, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7907, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8382, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, 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: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 929.0255,
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: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 27.7864, mean_absolute_error: 0.3762, 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: 0.7671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8133, scimark_benchmark: 947.9494, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 38.8514, mean_absolute_error: 0.3221, 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: 0.6567, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7948, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, 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: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, 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: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, 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: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 941.8057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7889, kappa: 0.5679, kb_relative_information_score: 56.2627, mean_absolute_error: 0.2132, 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: 0.4347, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9158, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7582, kappa: 0.5047, kb_relative_information_score: 51.5026, mean_absolute_error: 0.2354, 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: 0.4799, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9739, scimark_benchmark: 945.3151, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.1508, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.936, scimark_benchmark: 770.3451, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7879, kappa: 0.5654, kb_relative_information_score: 56.3965, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.87, scimark_benchmark: 927.0753, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.66, kappa: 0.3064, kb_relative_information_score: 21.7114, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 917.1386, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.1303, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8792, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 56.4983, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7709, scimark_benchmark: 923.9763, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, 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: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 940.3346, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 947.4269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.0926, build_memory: 441515314.4, f_measure: 0.6608, kappa: 0.3103, kb_relative_information_score: 22.3732, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6622, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0988, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.094, build_memory: 1483001925.6, f_measure: 0.6608, kappa: 0.3103, kb_relative_information_score: 22.3732, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6622, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0988, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.0732, build_memory: 1313236442.4, f_measure: 0.6608, kappa: 0.3103, kb_relative_information_score: 22.37, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6622, predictive_accuracy: 0.66, prior_entropy: 0.9864, recall: 0.66, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.0958, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, build_cpu_time: 0.0495, build_memory: 1176302196.8, 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, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_cpu_time: 0.0117, build_memory: 332703811.2, f_measure: 0.76, kappa: 0.5104, kb_relative_information_score: 44.9821, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9009, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, build_cpu_time: 0.0207, build_memory: 937443335.2, f_measure: 0.7897, kappa: 0.5704, kb_relative_information_score: 49.7643, mean_absolute_error: 0.2505, 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: 0.5109, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8846, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, build_cpu_time: 0.025, build_memory: 222712512.8, f_measure: 0.7897, kappa: 0.5704, kb_relative_information_score: 48.7898, mean_absolute_error: 0.2553, 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: 0.5207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8925, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.0373, build_memory: 341701724.8, f_measure: 0.7897, kappa: 0.5704, kb_relative_information_score: 48.7759, mean_absolute_error: 0.2554, 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: 0.5209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8929, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.0332, build_memory: 889419059.2, f_measure: 0.7897, kappa: 0.5704, kb_relative_information_score: 48.7759, mean_absolute_error: 0.2554, 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: 0.5209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8929, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, build_cpu_time: 0.0039, build_memory: 549399838.4, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, build_cpu_time: 0.0051, build_memory: 33191570.4, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, build_cpu_time: 0.0022, build_memory: 1786154071.2, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, build_cpu_time: 0.0013, build_memory: 1952169620.8, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, build_cpu_time: 0.0014, build_memory: 1916036348.8, f_measure: 0.7805, kappa: 0.5538, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0282, build_memory: 585086395.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0268, build_memory: 970758708, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0407, build_memory: 628569379.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0884, build_memory: 615435323.2, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 0.0475, build_memory: 755427388.8, f_measure: 0.8498, kappa: 0.6931, kb_relative_information_score: 42.3115, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8497, predictive_accuracy: 0.85, prior_entropy: 0.9864, recall: 0.85, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7338, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.1407, build_memory: 264194340.8, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 64.2069, mean_absolute_error: 0.1741, 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: 0.3551, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8364, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 0.1021, build_memory: 365563144.8, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.1303, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8792, scimark_benchmark: 945.384,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 0.0418, build_memory: 193882940, 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, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 0.0002, build_memory: 669493816, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 933.1799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, build_cpu_time: 0.008, build_memory: 183505929.6, f_measure: 0.6505, kappa: 0.288, kb_relative_information_score: 28.0035, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6511, predictive_accuracy: 0.65, prior_entropy: 0.9864, recall: 0.65, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.195, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, build_cpu_time: 0.0099, build_memory: 725728392, 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: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 0.005, build_memory: 96605342.4, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 24.7508, mean_absolute_error: 0.376, 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: 0.7667, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0008, build_memory: 276505734.4, 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, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, build_cpu_time: 0.0067, build_memory: 921013441.6, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, 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: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 945.1122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0128, build_memory: 142818316, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0143, build_memory: 183218055.2, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, build_cpu_time: 0.0129, build_memory: 126151563.2, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 43.2201, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.895, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 0.0024, build_memory: 1073594016, 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: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, build_cpu_time: 0.0003, build_memory: 1084646652.8, 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, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0008, build_memory: 168056876.8, 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, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0007, build_memory: 112875352, 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, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0227, build_memory: 283966093.6, f_measure: 0.7113, kappa: 0.4167, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7162, 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, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0235, build_memory: 876231046.4, f_measure: 0.7113, kappa: 0.4167, kb_relative_information_score: 40.3362, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7162, 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, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, build_cpu_time: 0.1199, build_memory: 40192732.8, f_measure: 0.6281, kappa: 0.2387, kb_relative_information_score: 12.5123, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6273, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.0663, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, build_cpu_time: 0.0679, build_memory: 507407169.6, 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, scimark_benchmark: 916.929,

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