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OpenML
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
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.6422, f_measure: 0.6512, kappa: 0.2921, kb_relative_information_score: 16.0348, mean_absolute_error: 0.4173, 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: 0.8509, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0478, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5132, kappa: 0.1098, kb_relative_information_score: 3.338, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5827, predictive_accuracy: 0.53, prior_entropy: 0.9864, recall: 0.53, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3848, scimark_benchmark: 930.5999, 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: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, 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: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7677, kappa: 0.524, kb_relative_information_score: 27.3083, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8637, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6904, kappa: 0.3694, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.691, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 31.5825, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.92, scimark_benchmark: 939.9176, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 58.5263, mean_absolute_error: 0.2067, 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: 0.4215, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.765, scimark_benchmark: 1073.494,
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: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 52.704, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8236, scimark_benchmark: 1250.8301, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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, scimark_benchmark: 1316.0472, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 44.4472, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, scimark_benchmark: 1325.942,
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: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 49.0797, mean_absolute_error: 0.2628, 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: 0.536, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8303, scimark_benchmark: 1355.7054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, 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: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 1341.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2586, kb_relative_information_score: -17.2166, mean_absolute_error: 0.57, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.1849, predictive_accuracy: 0.43, prior_entropy: 0.9864, recall: 0.43, relative_absolute_error: 1.1623, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.755, root_relative_squared_error: 1.525, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 46.4334, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9891, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7903, kappa: 0.5728, kb_relative_information_score: 56.7799, mean_absolute_error: 0.21, 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: 0.4282, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9256, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 54.7244, mean_absolute_error: 0.22, 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: 0.4486, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9474, scimark_benchmark: 1353.5686,
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, scimark_benchmark: 1330.0803,
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: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 51.528, mean_absolute_error: 0.2358, 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: 0.4808, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9268, scimark_benchmark: 931.2336, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.72, kappa: 0.4288, kb_relative_information_score: 42.1916, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0333, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 35.6373, mean_absolute_error: 0.3159, 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: 0.6442, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, scimark_benchmark: 941.7954, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7096, kappa: 0.4067, kb_relative_information_score: 33.4907, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7093, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0522, scimark_benchmark: 923.7642, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7677, kappa: 0.524, kb_relative_information_score: 54.5273, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9184, scimark_benchmark: 936.6206, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 55.4775, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9076, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 54.8837, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9233, scimark_benchmark: 911.3823, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.3189, mean_absolute_error: 0.2166, 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: 0.4417, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9147, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.5255, mean_absolute_error: 0.2206, 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: 0.4499, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9177, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 47.3428, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9508, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 45.3842, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9595, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7411, kappa: 0.4756, kb_relative_information_score: 44.1264, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7445, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9438, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, build_cpu_time: 0.0423, build_memory: 1128680923.2, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, build_cpu_time: 5.5197, build_memory: 98576111.2, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 60.4205, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8817, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, build_cpu_time: 2.89, build_memory: 54861116.8, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 60.3197, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8707, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 1.3547, build_memory: 1450320322.4, f_measure: 0.8097, kappa: 0.6113, kb_relative_information_score: 61.4475, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8096, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8481, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, build_cpu_time: 0.184, build_memory: 996803457.6, f_measure: 0.8081, kappa: 0.6068, kb_relative_information_score: 60.9159, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8643, scimark_benchmark: 916.8516,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, build_cpu_time: 0.8344, build_memory: 267631698.4, f_measure: 0.8492, kappa: 0.6914, kb_relative_information_score: 67.6634, mean_absolute_error: 0.1577, 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: 0.3217, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7893, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, build_cpu_time: 2.8162, build_memory: 602854464, 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: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, build_cpu_time: 0.138, build_memory: 192174151.2, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.8617, mean_absolute_error: 0.2191, 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: 0.4467, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9263, scimark_benchmark: 925.481,

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