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OpenML
Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 3499 Supervised Classification squash-stored 380 runs submitted
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Visibility: Public
  • study_1 study_107 study_41 under100k under1m
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380 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.5315, kappa: 0.25, kb_relative_information_score: 21.2036, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5286, predictive_accuracy: 0.5385, prior_entropy: 1.4782, recall: 0.5385, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8999, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 5.9591, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0619, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6469, kappa: 0.4368, kb_relative_information_score: 17.4695, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6495, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.9111, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.718, kappa: 0.5509, kb_relative_information_score: 27.5619, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7216, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7925, scimark_benchmark: 923.988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.5914, kappa: 0.3444, kb_relative_information_score: 18.9087, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6221, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1704, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6549, kappa: 0.4358, kb_relative_information_score: 23.4908, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.658, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9467, scimark_benchmark: 1335.4072, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.4558, kappa: 0.1365, kb_relative_information_score: 9.0575, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4593, predictive_accuracy: 0.4808, prior_entropy: 1.4782, recall: 0.4808, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.2645, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4343, f_measure: 0.3162, kappa: -0.0263, kb_relative_information_score: 0.0608, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.3269, predictive_accuracy: 0.4231, prior_entropy: 1.4782, recall: 0.4231, relative_absolute_error: 1.0338, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.139, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.6297, kappa: 0.4023, kb_relative_information_score: 20.4643, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6267, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9468, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.4359, kappa: 0.072, kb_relative_information_score: 8.0861, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4365, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.263, kappa: -0.0331, kb_relative_information_score: 5.3816, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1908, predictive_accuracy: 0.4231, prior_entropy: 1.4782, recall: 0.4231, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.3667, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6325, kappa: 0.407, kb_relative_information_score: 19.9623, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6328, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0109, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.4665, kappa: 0.1513, kb_relative_information_score: 11.0726, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.441, predictive_accuracy: 0.5, prior_entropy: 1.4782, recall: 0.5, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2723, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.6469, kappa: 0.4247, kb_relative_information_score: 24.9099, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6494, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9041, scimark_benchmark: 917.4321, usercpu_time_millis: 1020, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.5746, kappa: 0.3231, kb_relative_information_score: 19.433, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5845, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1704, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4265, f_measure: 0.2713, kb_relative_information_score: -0.101, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0027, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.6294, kappa: 0.3886, kb_relative_information_score: 19.1703, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6458, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9976, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.6479, kappa: 0.4633, kb_relative_information_score: 24.8274, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6817, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0616, scimark_benchmark: 945.7621, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.69, kappa: 0.5163, kb_relative_information_score: 27.7176, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7047, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9756, scimark_benchmark: 943.2817, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.6747, kappa: 0.486, kb_relative_information_score: 26.6308, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6731, prior_entropy: 1.4782, recall: 0.6731, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.993, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.6923, kappa: 0.5157, kb_relative_information_score: 27.9605, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7141, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9636, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.582, kappa: 0.3659, kb_relative_information_score: 14.8227, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5374, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.89, scimark_benchmark: 911.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.582, kappa: 0.3659, kb_relative_information_score: 14.8227, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5374, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.89, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.5808, kappa: 0.365, kb_relative_information_score: 16.4053, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5357, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9338, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.5338, kappa: 0.2718, kb_relative_information_score: 17.2648, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4968, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.0045, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.5808, kappa: 0.365, kb_relative_information_score: 18.6372, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5357, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9802, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6337, kappa: 0.4077, kb_relative_information_score: 22.4499, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6333, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.087, scimark_benchmark: 945.7621, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6337, kappa: 0.4077, kb_relative_information_score: 22.5428, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6333, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0655, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6523, kappa: 0.4338, kb_relative_information_score: 24.4681, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.653, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9975, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.6732, kappa: 0.461, kb_relative_information_score: 24.4164, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.679, predictive_accuracy: 0.6731, prior_entropy: 1.4782, recall: 0.6731, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9478, scimark_benchmark: 910.8389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6345, kappa: 0.3935, kb_relative_information_score: 21.9959, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6462, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9435, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4265, f_measure: 0.2713, kb_relative_information_score: -0.101, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0027, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.5913, kappa: 0.3459, kb_relative_information_score: 16.9443, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6077, predictive_accuracy: 0.6154, prior_entropy: 1.4782, recall: 0.6154, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.9006, scimark_benchmark: 929.566,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, build_cpu_time: 0.7238, build_memory: 448916956.9231, f_measure: 0.6317, kappa: 0.407, kb_relative_information_score: 23.1437, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6312, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.464, root_relative_squared_error: 1.0226, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, build_cpu_time: 1.5049, build_memory: 409833615.2308, f_measure: 0.684, kappa: 0.4948, kb_relative_information_score: 26.3369, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6889, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.986, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, build_cpu_time: 6.9048, build_memory: 1247041691.5385, f_measure: 0.7088, kappa: 0.5318, kb_relative_information_score: 29.0823, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7086, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9664, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, build_cpu_time: 3.591, build_memory: 788329009.8462, f_measure: 0.6892, kappa: 0.5045, kb_relative_information_score: 27.718, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6909, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9966, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 2.077, build_memory: 782440212.7692, f_measure: 0.7265, kappa: 0.5625, kb_relative_information_score: 29.812, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7281, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.9203, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.5328, build_memory: 95077198.4615, f_measure: 0.681, kappa: 0.4982, kb_relative_information_score: 27.9263, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9447, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.2395, build_memory: 215383278.3077, f_measure: 0.6888, kappa: 0.5045, kb_relative_information_score: 28.0543, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6903, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9653, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 0.6796, build_memory: 1550281977.2308, f_measure: 0.7664, kappa: 0.625, kb_relative_information_score: 33.5549, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7697, predictive_accuracy: 0.7692, prior_entropy: 1.4782, recall: 0.7692, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8648, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, build_cpu_time: 1.5181, build_memory: 961923518.4615, f_measure: 0.7486, kappa: 0.5915, kb_relative_information_score: 31.5768, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 1.4782, recall: 0.75, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.889, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, build_cpu_time: 3.528, build_memory: 645131344.3077, f_measure: 0.6804, kappa: 0.4867, kb_relative_information_score: 26.5872, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6846, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9973, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, build_cpu_time: 0.0671, build_memory: 1314524717.5385, f_measure: 0.7043, kappa: 0.5232, kb_relative_information_score: 28.0668, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7065, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9406, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, build_cpu_time: 0.0293, build_memory: 1040794190.3077, f_measure: 0.6454, kappa: 0.4186, kb_relative_information_score: 22.7561, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6603, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0078, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.0106, build_memory: 73900792.6154, f_measure: 0.568, kappa: 0.293, kb_relative_information_score: 19.7868, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5754, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0617, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, build_cpu_time: 0.0169, build_memory: 125044329.6923, f_measure: 0.6259, kappa: 0.3913, kb_relative_information_score: 24.4932, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0127, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 0.0525, build_memory: 130256619.6923, f_measure: 0.6285, kappa: 0.3961, kb_relative_information_score: 23.2971, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6312, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.0585, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, build_cpu_time: 0.0582, build_memory: 97381997.5385, f_measure: 0.6115, kappa: 0.3651, kb_relative_information_score: 22.2184, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6139, predictive_accuracy: 0.6154, prior_entropy: 1.4782, recall: 0.6154, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0863, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, build_cpu_time: 0.102, build_memory: 954502398.4615, f_measure: 0.6285, kappa: 0.3961, kb_relative_information_score: 23.6221, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6312, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0573, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.017, build_memory: 88072254.6154, f_measure: 0.7165, kappa: 0.5346, kb_relative_information_score: 27.381, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7274, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9388, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.0104, build_memory: 222677548.9231, f_measure: 0.7165, kappa: 0.5346, kb_relative_information_score: 27.381, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7274, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9388, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.0082, build_memory: 68640435.6923, f_measure: 0.7165, kappa: 0.5346, kb_relative_information_score: 27.381, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7274, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9388, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, build_cpu_time: 0.0072, build_memory: 349649914.4615, f_measure: 0.582, kappa: 0.3659, kb_relative_information_score: 14.8227, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5374, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.89, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, build_cpu_time: 0.8325, build_memory: 2350760654.7692, f_measure: 0.6259, kappa: 0.3913, kb_relative_information_score: 23.3405, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0507, scimark_benchmark: 924.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, build_cpu_time: 0.3724, build_memory: 663633093.8462, f_measure: 0.646, kappa: 0.424, kb_relative_information_score: 22.8058, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6485, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0446, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, build_cpu_time: 0.2214, build_memory: 1955389730.3077, f_measure: 0.684, kappa: 0.4845, kb_relative_information_score: 25.2769, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6972, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9723, scimark_benchmark: 930.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 0.1102, build_memory: 183437727.2308, f_measure: 0.6466, kappa: 0.4139, kb_relative_information_score: 23.0037, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6874, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9691, scimark_benchmark: 890.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, build_cpu_time: 0.0073, build_memory: 725142605.5385, f_measure: 0.5119, kappa: 0.2136, kb_relative_information_score: 15.7258, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5063, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0776, scimark_benchmark: 939.059,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs