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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(segment)

Supervised Data Stream Classification on BNG(segment)

Task 170 Supervised Data Stream Classification BNG(segment) 188 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams streams-full study_11
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188 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75097.4129, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, recall: 0.143, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7926, kappa: 0.7597, kb_relative_information_score: 754655.6179, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.797, predictive_accuracy: 0.794, prior_entropy: 2.8074, recall: 0.794, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8401, kappa: 0.8117, kb_relative_information_score: 329007.8129, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8444, predictive_accuracy: 0.8386, prior_entropy: 2.8074, recall: 0.8386, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8401, kappa: 0.8117, kb_relative_information_score: 329007.8129, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8444, predictive_accuracy: 0.8386, prior_entropy: 2.8074, recall: 0.8386, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.1061, kappa: 0.0553, kb_relative_information_score: 158936.6342, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1435, predictive_accuracy: 0.1909, prior_entropy: 2.8074, recall: 0.1909, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.858, kappa: 0.8338, kb_relative_information_score: 330936.9425, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.86, predictive_accuracy: 0.8576, prior_entropy: 2.8074, recall: 0.8576, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8078, kappa: 0.7747, kb_relative_information_score: 794249.8166, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8197, predictive_accuracy: 0.8069, prior_entropy: 2.8074, recall: 0.8069, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8603, kappa: 0.8364, kb_relative_information_score: 814478.6165, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8597, prior_entropy: 2.8074, recall: 0.8597, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8535, kappa: 0.8293, kb_relative_information_score: 822648.6514, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8537, predictive_accuracy: 0.8537, prior_entropy: 2.8074, recall: 0.8537, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75097.4129, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, recall: 0.143, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.1207, kappa: 0.073, kb_relative_information_score: 143202.666, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1416, predictive_accuracy: 0.2061, prior_entropy: 2.8074, recall: 0.2061, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.1401, kappa: 0.1088, kb_relative_information_score: 176977.1957, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1304, predictive_accuracy: 0.2367, prior_entropy: 2.8074, recall: 0.2367, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8585, kappa: 0.8346, kb_relative_information_score: 830504.5692, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8605, predictive_accuracy: 0.8583, prior_entropy: 2.8074, recall: 0.8583, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.2911, kappa: 0.1798, kb_relative_information_score: 268093.8651, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3091, predictive_accuracy: 0.297, prior_entropy: 2.8074, recall: 0.297, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.341, kappa: 0.299, kb_relative_information_score: 380242.691, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3471, predictive_accuracy: 0.3991, prior_entropy: 2.8074, recall: 0.3991, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8539, kappa: 0.8295, kb_relative_information_score: 820908.1293, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8561, predictive_accuracy: 0.8538, prior_entropy: 2.8074, recall: 0.8538, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8009, kappa: 0.7662, kb_relative_information_score: 780110.2107, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8091, predictive_accuracy: 0.7996, prior_entropy: 2.8074, recall: 0.7996, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.812, kappa: 0.7795, kb_relative_information_score: 760868.6108, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8222, predictive_accuracy: 0.811, prior_entropy: 2.8074, recall: 0.811, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.7798, kappa: 0.737, kb_relative_information_score: 751637.1823, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7968, predictive_accuracy: 0.7746, prior_entropy: 2.8074, recall: 0.7746, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.2864, kappa: 0.296, kb_relative_information_score: 372785.105, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.323, predictive_accuracy: 0.3966, prior_entropy: 2.8074, recall: 0.3966, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 838711.9839, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75097.4129, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, recall: 0.143, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8343, kappa: 0.8083, kb_relative_information_score: 801514.3079, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8393, predictive_accuracy: 0.8357, prior_entropy: 2.8074, recall: 0.8357, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75097.4129, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, ram_hours: 0, recall: 0.143, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141, run_cpu_time: 10.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75011.5104, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, ram_hours: 0.0023, recall: 0.143, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.4138, run_cpu_time: 72.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.5375, kappa: 0.5016, kb_relative_information_score: 553225.632, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5497, predictive_accuracy: 0.5728, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5728, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7468, run_cpu_time: 90.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8236, kappa: 0.7921, kb_relative_information_score: 782248.8519, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8271, predictive_accuracy: 0.8218, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8218, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5624, run_cpu_time: 12.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.7888, kappa: 0.7537, kb_relative_information_score: 779638.045, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7996, predictive_accuracy: 0.7889, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7889, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5831, run_cpu_time: 32.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.1489, kappa: 0.12, kb_relative_information_score: 186552.5498, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1382, predictive_accuracy: 0.2463, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2463, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.3262, run_cpu_time: 9.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0358, kb_relative_information_score: 75097.4129, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0204, predictive_accuracy: 0.143, prior_entropy: 2.8074, ram_hours: 0, recall: 0.143, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141, run_cpu_time: 9.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8573, kappa: 0.8339, kb_relative_information_score: 816138.6253, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8579, predictive_accuracy: 0.8576, prior_entropy: 2.8074, ram_hours: 0.0002, recall: 0.8576, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.4861, run_cpu_time: 154.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8286, kappa: 0.7973, kb_relative_information_score: 328398.584, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8371, predictive_accuracy: 0.8262, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8262, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.8771, run_cpu_time: 22.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8343, kappa: 0.8083, kb_relative_information_score: 801514.3079, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8393, predictive_accuracy: 0.8357, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8357, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5496, run_cpu_time: 16.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.865, kappa: 0.8424, kb_relative_information_score: 838585.2633, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.866, predictive_accuracy: 0.8649, prior_entropy: 2.8074, ram_hours: 0.0002, recall: 0.8649, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4742, run_cpu_time: 156.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7806, kappa: 0.7469, kb_relative_information_score: 746201.2417, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.785, predictive_accuracy: 0.783, prior_entropy: 2.8074, ram_hours: 0, recall: 0.783, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5872, run_cpu_time: 28.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8633, kappa: 0.8404, kb_relative_information_score: 838693.8531, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8632, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8632, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4808, run_cpu_time: 27.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.143, kappa: 0.0001, kb_relative_information_score: 75087.7, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.143, predictive_accuracy: 0.143, prior_entropy: 2.8074, ram_hours: 0, recall: 0.143, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.4141, run_cpu_time: 15.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.0747, kappa: -0.0004, kb_relative_information_score: 991.2945, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1213, predictive_accuracy: 0.143, prior_entropy: 2.8074, ram_hours: 0, recall: 0.143, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, run_cpu_time: 16.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.2839, kappa: 0.2961, kb_relative_information_score: 348856.5465, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2478, predictive_accuracy: 0.3967, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3967, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.415, root_relative_squared_error: 1.186, run_cpu_time: 10.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8442, kappa: 0.8191, kb_relative_information_score: 805152.9785, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8438, predictive_accuracy: 0.845, prior_entropy: 2.8074, ram_hours: 0.0137, recall: 0.845, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4998, run_cpu_time: 971.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8649, kappa: 0.8423, kb_relative_information_score: 839182.3436, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8658, predictive_accuracy: 0.8648, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8648, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4787, run_cpu_time: 51.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8092, kappa: 0.7793, kb_relative_information_score: 773448.6321, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8147, predictive_accuracy: 0.8108, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.8108, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5606, run_cpu_time: 5388.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8721, kappa: 0.8504, kb_relative_information_score: 847394.7015, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8732, predictive_accuracy: 0.8718, prior_entropy: 2.8074, ram_hours: 0.0016, recall: 0.8718, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4605, run_cpu_time: 196.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.1207, kappa: 0.0731, kb_relative_information_score: 143261.8871, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1416, predictive_accuracy: 0.2061, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2061, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.361, run_cpu_time: 9.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8096, kappa: 0.7797, kb_relative_information_score: 773418.2013, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8148, predictive_accuracy: 0.8111, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8111, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5608, run_cpu_time: 348.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8633, kappa: 0.8404, kb_relative_information_score: 838693.8531, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8632, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8632, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4808, run_cpu_time: 29.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 794180.3632, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8063, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5659, run_cpu_time: 31.98,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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