Task
Supervised Data Stream Classification on BNG(dermatology,nominal,1000000)

Supervised Data Stream Classification on BNG(dermatology,nominal,1000000)

Task 169 Supervised Data Stream Classification BNG(dermatology,nominal,1000000) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9004, kappa: 0.8768, kb_relative_information_score: 870968.9358, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9003, predictive_accuracy: 0.9017, prior_entropy: 2.585, recall: 0.9017, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9669, kappa: 0.9585, kb_relative_information_score: 926084.0625, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9679, predictive_accuracy: 0.9668, prior_entropy: 2.585, ram_hours: 0.0027, recall: 0.9668, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2845, run_cpu_time: 14311.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.3673, kappa: 0.3295, kb_relative_information_score: 415368.8163, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3428, predictive_accuracy: 0.4694, prior_entropy: 2.585, ram_hours: 0, recall: 0.4694, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.1285, run_cpu_time: 8.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 982858.4788, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, ram_hours: 0, recall: 0.9861, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1584, run_cpu_time: 30.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9666, kappa: 0.9581, kb_relative_information_score: 926056.6542, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9676, predictive_accuracy: 0.9666, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.9666, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2847, run_cpu_time: 685.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9706, kappa: 0.9633, kb_relative_information_score: 961045.6638, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 2.585, ram_hours: 0, recall: 0.9707, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2408, run_cpu_time: 32.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9851, kappa: 0.9814, kb_relative_information_score: 976899.085, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 2.585, ram_hours: 0.004, recall: 0.9852, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1688, run_cpu_time: 322.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.977, kappa: 0.9713, kb_relative_information_score: 383411.416, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 2.585, ram_hours: 0, recall: 0.977, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8344, run_cpu_time: 25.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9809, kappa: 0.9761, kb_relative_information_score: 966523.435, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 2.585, ram_hours: 0.0005, recall: 0.9809, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1939, run_cpu_time: 170.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233851.2763, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919, run_cpu_time: 8.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9846, kappa: 0.9808, kb_relative_information_score: 916806.1758, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.585, ram_hours: 0.001, recall: 0.9846, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2671, run_cpu_time: 193.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9746, kappa: 0.9682, kb_relative_information_score: 895416.3575, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9747, predictive_accuracy: 0.9746, prior_entropy: 2.585, ram_hours: 0.0332, recall: 0.9746, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.308, run_cpu_time: 642.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9004, kappa: 0.8768, kb_relative_information_score: 870968.9358, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9003, predictive_accuracy: 0.9017, prior_entropy: 2.585, ram_hours: 0, recall: 0.9017, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.4665, run_cpu_time: 13.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.2015, kappa: 0.0009, kb_relative_information_score: 120298.8355, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2015, predictive_accuracy: 0.2015, prior_entropy: 2.585, ram_hours: 0, recall: 0.2015, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.3843, run_cpu_time: 9.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9706, kappa: 0.9633, kb_relative_information_score: 961045.6638, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 2.585, ram_hours: 0, recall: 0.9707, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2408, run_cpu_time: 35.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.1423, kb_relative_information_score: 112315.9074, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.1286, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0, recall: 0.3046, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9793, run_cpu_time: 13.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.3313, kappa: 0.2975, kb_relative_information_score: 409664.3199, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2684, predictive_accuracy: 0.4644, prior_entropy: 2.585, ram_hours: 0, recall: 0.4644, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.1335, run_cpu_time: 9.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233614.7929, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0.0041, recall: 0.3046, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.2916, run_cpu_time: 83.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9661, kappa: 0.9576, kb_relative_information_score: 956422.0258, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 2.585, ram_hours: 0, recall: 0.9662, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.2553, run_cpu_time: 53.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9838, kappa: 0.9798, kb_relative_information_score: 979847.797, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.585, ram_hours: 0, recall: 0.9839, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1704, run_cpu_time: 32.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9857, kappa: 0.9822, kb_relative_information_score: 976227.0963, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9857, predictive_accuracy: 0.9858, prior_entropy: 2.585, ram_hours: 0, recall: 0.9858, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1664, run_cpu_time: 299.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.7441, kappa: 0.6954, kb_relative_information_score: 702924.12, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7581, predictive_accuracy: 0.7606, prior_entropy: 2.585, ram_hours: 0, recall: 0.7606, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6262, run_cpu_time: 94.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8341, kappa: 0.7942, kb_relative_information_score: 799672.8836, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8346, predictive_accuracy: 0.8359, prior_entropy: 2.585, ram_hours: 0, recall: 0.8359, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.519, run_cpu_time: 25.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233851.2763, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919, run_cpu_time: 13.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8931, kappa: 0.8672, kb_relative_information_score: 855456.3425, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8967, predictive_accuracy: 0.8943, prior_entropy: 2.585, ram_hours: 0, recall: 0.8943, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.4697, run_cpu_time: 11.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9706, kappa: 0.9633, kb_relative_information_score: 961017.5349, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 2.585, recall: 0.9707, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.3387, kappa: 0.3219, kb_relative_information_score: 399659.7602, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2823, predictive_accuracy: 0.4902, prior_entropy: 2.585, recall: 0.4902, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.6319, kappa: 0.5361, kb_relative_information_score: 569761.417, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7355, predictive_accuracy: 0.6138, prior_entropy: 2.585, recall: 0.6138, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8985, kappa: 0.8723, kb_relative_information_score: 872761.1246, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9007, predictive_accuracy: 0.8976, prior_entropy: 2.585, recall: 0.8976, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9687, kappa: 0.9611, kb_relative_information_score: 963728.0774, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9685, predictive_accuracy: 0.9689, prior_entropy: 2.585, recall: 0.9689, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233851.2763, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 982869.6305, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9846, kappa: 0.9807, kb_relative_information_score: 383661.1547, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.585, recall: 0.9846, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.3666, kappa: 0.3288, kb_relative_information_score: 408189.0327, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3418, predictive_accuracy: 0.4689, prior_entropy: 2.585, recall: 0.4689, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.3391, kappa: 0.3223, kb_relative_information_score: 400075.4922, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4335, predictive_accuracy: 0.4905, prior_entropy: 2.585, recall: 0.4905, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233851.2763, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9829, kappa: 0.9787, kb_relative_information_score: 384315.8441, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 2.585, recall: 0.983, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.3673, kappa: 0.3295, kb_relative_information_score: 415374.9675, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3428, predictive_accuracy: 0.4694, prior_entropy: 2.585, recall: 0.4694, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.1285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9833, kappa: 0.9791, kb_relative_information_score: 971906.5987, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.585, recall: 0.9833, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9583, kappa: 0.9478, kb_relative_information_score: 927439.9107, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9586, predictive_accuracy: 0.9582, prior_entropy: 2.585, recall: 0.9582, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.3669, kappa: 0.3285, kb_relative_information_score: 414417.4115, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.343, predictive_accuracy: 0.4685, prior_entropy: 2.585, recall: 0.4685, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9335, kappa: 0.9174, kb_relative_information_score: 898286.731, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9336, predictive_accuracy: 0.9341, prior_entropy: 2.585, recall: 0.9341, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.3566, kappa: 0.2972, kb_relative_information_score: 445822.4315, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4189, predictive_accuracy: 0.4947, prior_entropy: 2.585, recall: 0.4947, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.3397, kappa: 0.3226, kb_relative_information_score: 403492.9502, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3671, predictive_accuracy: 0.4908, prior_entropy: 2.585, recall: 0.4908, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9439, kappa: 0.9304, kb_relative_information_score: 911438.819, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 2.585, recall: 0.9444, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233851.2763, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9812, kappa: 0.9765, kb_relative_information_score: 966247.0636, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9811, predictive_accuracy: 0.9812, prior_entropy: 2.585, recall: 0.9812, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1933,

    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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