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OpenML
Task
Supervised Classification on no2

Supervised Classification on no2

Task 3749 Supervised Classification no2 588 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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588 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.5914, kappa: 0.1838, kb_relative_information_score: 70.2683, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5924, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.53, root_relative_squared_error: 1.06, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.3737, kappa: 0.0156, kb_relative_information_score: 5.9886, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5512, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4057, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3763, kappa: 0.0203, kb_relative_information_score: 11.9888, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5769, predictive_accuracy: 0.512, prior_entropy: 1, recall: 0.512, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3972, scimark_benchmark: 1333.5799, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5594, kappa: 0.1203, kb_relative_information_score: 21.973, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5605, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 938.343, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4907, kappa: -0.0072, kb_relative_information_score: -4.0116, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4963, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7099, root_relative_squared_error: 1.4199, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6059, kappa: 0.2119, kb_relative_information_score: 44.0689, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.606, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 885.0921, usercpu_time_millis: 13750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 13700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.582, kappa: 0.164, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 918.6491, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5945, kappa: 0.2031, kb_relative_information_score: 45.9783, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 48.1143, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.601, kappa: 0.223, kb_relative_information_score: 47.1528, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.625, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 932.7645, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.6181, kappa: 0.2511, kb_relative_information_score: 53.0591, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6366, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9696, scimark_benchmark: 915.0395, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6395, kappa: 0.2798, kb_relative_information_score: 87.9023, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308, scimark_benchmark: 1327.8711, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5818, kappa: 0.1639, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.565, kappa: 0.1317, kb_relative_information_score: 47.5691, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5664, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6247, kappa: 0.2554, kb_relative_information_score: 64.017, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1354.2491, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.5623, kappa: 0.1314, kb_relative_information_score: 65.99, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5679, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3176, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4587, f_measure: 0.3957, kappa: -0.0828, kb_relative_information_score: -40.0124, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4283, predictive_accuracy: 0.46, prior_entropy: 1, recall: 0.46, relative_absolute_error: 1.08, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4697, scimark_benchmark: 1335.4072, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5712, kappa: 0.1513, kb_relative_information_score: 35.6675, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0368, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.572, kappa: 0.144, kb_relative_information_score: 71.9902, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3084, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5805, kappa: 0.1636, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5829, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5696, kappa: 0.1551, kb_relative_information_score: 44.386, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5839, predictive_accuracy: 0.578, prior_entropy: 1, recall: 0.578, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.539, root_relative_squared_error: 1.078, scimark_benchmark: 927.0753, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5756, kappa: 0.1593, kb_relative_information_score: 30.9973, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.583, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, 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: 0.6402, f_measure: 0.5885, kappa: 0.1796, kb_relative_information_score: 82.2665, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.591, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.0663, scimark_benchmark: 936.7115, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.5946, kappa: 0.1916, kb_relative_information_score: 80.0373, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.597, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.051, scimark_benchmark: 936.7115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.5831, kappa: 0.183, kb_relative_information_score: 75.6648, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5998, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0193, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.5857, kappa: 0.191, kb_relative_information_score: 61.5538, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6058, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0309, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5511, kappa: 0.1347, kb_relative_information_score: 43.5068, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.579, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0499, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6238, kappa: 0.2479, kb_relative_information_score: 90.669, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 938.4285, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.596, kappa: 0.1919, kb_relative_information_score: 67.7055, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.596, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, build_cpu_time: 0.2022, build_memory: 1149504247.2, f_measure: 0.633, kappa: 0.2677, kb_relative_information_score: 85.7855, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6352, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9347, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, build_cpu_time: 0.1945, build_memory: 531304311.2, f_measure: 0.633, kappa: 0.2677, kb_relative_information_score: 85.7855, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6352, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9347, scimark_benchmark: 940.5537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.177, build_memory: 587541968.8, f_measure: 0.6077, kappa: 0.2158, kb_relative_information_score: 108.9007, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6082, predictive_accuracy: 0.608, prior_entropy: 1, recall: 0.608, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2213, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, build_cpu_time: 0.0922, build_memory: 758945572, f_measure: 0.616, kappa: 0.2319, kb_relative_information_score: 115.8018, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.616, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1867, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, build_cpu_time: 0.0684, build_memory: 648145875.2, f_measure: 0.6059, kappa: 0.2119, kb_relative_information_score: 103.2466, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.606, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1712, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, build_cpu_time: 0.0343, build_memory: 1115277606.4, f_measure: 0.5996, kappa: 0.1998, kb_relative_information_score: 94.8866, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6002, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5651, root_relative_squared_error: 1.1302, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, build_cpu_time: 0.0109, build_memory: 309515280, f_measure: 0.5996, kappa: 0.1998, kb_relative_information_score: 82.6198, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6002, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.0798, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.0157, build_memory: 1305703919.2, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.0156, build_memory: 1027760166.4, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.016, build_memory: 1464964970.4, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.0165, build_memory: 1557804346.4, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.0189, build_memory: 1934092084.8, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, build_cpu_time: 8.899, build_memory: 1140134484, f_measure: 0.614, kappa: 0.228, kb_relative_information_score: 77.54, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.614, predictive_accuracy: 0.614, prior_entropy: 1, recall: 0.614, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.509, root_relative_squared_error: 1.018, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, build_cpu_time: 17.1948, build_memory: 819933339.2, f_measure: 0.622, kappa: 0.244, kb_relative_information_score: 94.9659, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.622, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0483, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, build_cpu_time: 35.1819, build_memory: 888782443.2, f_measure: 0.636, kappa: 0.272, kb_relative_information_score: 121.8871, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.636, predictive_accuracy: 0.636, prior_entropy: 1, recall: 0.636, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0641, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, build_cpu_time: 82.9654, build_memory: 273907650.4, f_measure: 0.654, kappa: 0.308, kb_relative_information_score: 147.3655, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.654, predictive_accuracy: 0.654, prior_entropy: 1, recall: 0.654, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0901, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, build_cpu_time: 134.0671, build_memory: 30116931.2, f_measure: 0.6295, kappa: 0.2598, kb_relative_information_score: 125.837, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6305, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5821, root_relative_squared_error: 1.1643, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, build_cpu_time: 38.747, build_memory: 1383333021.6, f_measure: 0.6539, kappa: 0.3079, kb_relative_information_score: 153.8929, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6541, predictive_accuracy: 0.654, prior_entropy: 1, recall: 0.654, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.1658, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, build_cpu_time: 19.2902, build_memory: 81315438.4, f_measure: 0.6439, kappa: 0.2879, kb_relative_information_score: 143.1701, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.644, predictive_accuracy: 0.644, prior_entropy: 1, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5917, root_relative_squared_error: 1.1835, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, build_cpu_time: 5.0646, build_memory: 908237152.8, f_measure: 0.6337, kappa: 0.2678, kb_relative_information_score: 137.381, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5744, root_relative_squared_error: 1.1487, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, build_cpu_time: 2.2101, build_memory: 601445455.2, f_measure: 0.624, kappa: 0.2479, kb_relative_information_score: 128.5488, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.624, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.554, root_relative_squared_error: 1.1079, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, build_cpu_time: 0.3165, build_memory: 422718680, f_measure: 0.624, kappa: 0.248, kb_relative_information_score: 92.6168, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0346, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, build_cpu_time: 0.6026, build_memory: 818758404.8, f_measure: 0.63, kappa: 0.26, kb_relative_information_score: 104.1758, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.63, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0597, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, build_cpu_time: 1.3329, build_memory: 732346840.8, f_measure: 0.6379, kappa: 0.2759, kb_relative_information_score: 123.0165, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6381, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.0855, scimark_benchmark: 945.0532,

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