Task
Supervised Data Stream Classification on BNG(cylinder-bands,nominal,1000000)

Supervised Data Stream Classification on BNG(cylinder-bands,nominal,1000000)

Task 168 Supervised Data Stream Classification BNG(cylinder-bands,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.775, kappa: 0.5364, kb_relative_information_score: 547162.7267, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7791, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.775, kappa: 0.5364, kb_relative_information_score: 547162.7267, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7791, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5832, kappa: 0.1457, kb_relative_information_score: 159255.7842, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.583, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8112, kappa: 0.6122, kb_relative_information_score: 562385.9786, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8118, prior_entropy: 1, recall: 0.8118, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7974, kappa: 0.5841, kb_relative_information_score: 510234.7327, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7972, predictive_accuracy: 0.7978, prior_entropy: 1, recall: 0.7978, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.6841, kappa: 0.3545, kb_relative_information_score: 378588.0352, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6851, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2515, kb_relative_information_score: -154046, mean_absolute_error: 0.577, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1789, predictive_accuracy: 0.423, prior_entropy: 1, recall: 0.423, relative_absolute_error: 1.154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7596, root_relative_squared_error: 1.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5851, kappa: 0.151, kb_relative_information_score: 170507.8424, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5856, predictive_accuracy: 0.5846, prior_entropy: 1, recall: 0.5846, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5974, root_relative_squared_error: 1.1949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5123, kappa: 0.0016, kb_relative_information_score: 25750.1552, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5126, predictive_accuracy: 0.512, prior_entropy: 1, recall: 0.512, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6833, root_relative_squared_error: 1.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6678, kappa: 0.3197, kb_relative_information_score: 329602.1267, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.668, predictive_accuracy: 0.6676, prior_entropy: 1, recall: 0.6676, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.773, kappa: 0.5322, kb_relative_information_score: 380151.0652, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7789, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5384, kappa: 0.1176, kb_relative_information_score: 77149.9503, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6306, predictive_accuracy: 0.6122, prior_entropy: 1, recall: 0.6122, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7068, kappa: 0.4042, kb_relative_information_score: 410839.699, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7105, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7493, kappa: 0.4851, kb_relative_information_score: 359233.5647, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.749, predictive_accuracy: 0.7501, prior_entropy: 1, recall: 0.7501, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4223, kappa: -0, kb_relative_information_score: 154044, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.333, predictive_accuracy: 0.577, prior_entropy: 1, recall: 0.577, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6738, kappa: 0.3304, kb_relative_information_score: 289173.1503, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6733, predictive_accuracy: 0.6746, prior_entropy: 1, recall: 0.6746, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7294, kappa: 0.4424, kb_relative_information_score: 331941.5899, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7314, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8442, kappa: 0.6806, kb_relative_information_score: 605724.6887, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8441, predictive_accuracy: 0.8443, prior_entropy: 1, recall: 0.8443, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7697, kappa: 0.527, kb_relative_information_score: 372579.5729, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7695, predictive_accuracy: 0.7706, prior_entropy: 1, recall: 0.7706, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.6896, kappa: 0.3693, kb_relative_information_score: 337910.0646, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6934, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2515, kb_relative_information_score: -154046, mean_absolute_error: 0.577, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1789, predictive_accuracy: 0.423, prior_entropy: 1, recall: 0.423, relative_absolute_error: 1.154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7596, root_relative_squared_error: 1.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.423, kappa: 0, kb_relative_information_score: 28535.6739, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5153, predictive_accuracy: 0.5769, prior_entropy: 1, recall: 0.5769, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.423, kappa: 0, kb_relative_information_score: 28535.6739, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5153, predictive_accuracy: 0.5769, prior_entropy: 1, ram_hours: 0, recall: 0.5769, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, run_cpu_time: 14.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8003, kappa: 0.5898, kb_relative_information_score: 520102.2777, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8003, predictive_accuracy: 0.8011, prior_entropy: 1, ram_hours: 0, recall: 0.8011, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7489, run_cpu_time: 18.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2515, kb_relative_information_score: -154046, mean_absolute_error: 0.577, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1789, predictive_accuracy: 0.423, prior_entropy: 1, ram_hours: 0, recall: 0.423, relative_absolute_error: 1.154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7596, root_relative_squared_error: 1.5192, run_cpu_time: 17.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7465, kappa: 0.4834, kb_relative_information_score: 382468.5601, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7486, predictive_accuracy: 0.7456, prior_entropy: 1, ram_hours: 0.0003, recall: 0.7456, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9142, run_cpu_time: 152.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4223, kappa: -0, kb_relative_information_score: 31560.8826, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.333, predictive_accuracy: 0.577, prior_entropy: 1, ram_hours: 0, recall: 0.577, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, run_cpu_time: 16.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7058, kappa: 0.3939, kb_relative_information_score: 274335.7333, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7074, predictive_accuracy: 0.7099, prior_entropy: 1, ram_hours: -0.7069, recall: 0.7099, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8798, run_cpu_time: 20806.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5117, kappa: -0.0003, kb_relative_information_score: 23476, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5117, predictive_accuracy: 0.5117, prior_entropy: 1, ram_hours: 0, recall: 0.5117, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6988, root_relative_squared_error: 1.3975, run_cpu_time: 14.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7058, kappa: 0.3939, kb_relative_information_score: 274335.7333, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7074, predictive_accuracy: 0.7099, prior_entropy: 1, ram_hours: -0.7329, recall: 0.7099, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8798, run_cpu_time: 21863.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6893, kappa: 0.3686, kb_relative_information_score: 338119.7022, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.693, predictive_accuracy: 0.6879, prior_entropy: 1, ram_hours: 0.3541, recall: 0.6879, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0505, run_cpu_time: 1151.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6819, kappa: 0.3486, kb_relative_information_score: 311303.043, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.682, predictive_accuracy: 0.6817, prior_entropy: 1, ram_hours: 0, recall: 0.6817, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, run_cpu_time: 15.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7684, kappa: 0.5251, kb_relative_information_score: 537496, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7682, predictive_accuracy: 0.7687, prior_entropy: 1, ram_hours: 0, recall: 0.7687, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9613, run_cpu_time: 40.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.768, kappa: 0.524, kb_relative_information_score: 391909.1903, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7678, predictive_accuracy: 0.7685, prior_entropy: 1, ram_hours: 0.0086, recall: 0.7685, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8132, run_cpu_time: 658.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6623, kappa: 0.3156, kb_relative_information_score: 194528.1612, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6993, predictive_accuracy: 0.6863, prior_entropy: 1, ram_hours: 0, recall: 0.6863, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9143, run_cpu_time: 41.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6904, kappa: 0.3718, kb_relative_information_score: 377668, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.695, predictive_accuracy: 0.6888, prior_entropy: 1, ram_hours: 0, recall: 0.6888, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1152, run_cpu_time: 13.77,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7026, kappa: 0.3882, kb_relative_information_score: 251677.7341, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7135, predictive_accuracy: 0.7122, prior_entropy: 1, ram_hours: 0.0001, recall: 0.7122, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8736, run_cpu_time: 712.15,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7004, kappa: 0.3843, kb_relative_information_score: 251712.4216, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7136, predictive_accuracy: 0.7112, prior_entropy: 1, ram_hours: 0.0029, recall: 0.7112, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8734, run_cpu_time: 13611.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8446, kappa: 0.6815, kb_relative_information_score: 608914.1704, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8446, predictive_accuracy: 0.8447, prior_entropy: 1, ram_hours: 0, recall: 0.8447, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6673, run_cpu_time: 20.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.5847, kappa: 0.1483, kb_relative_information_score: 170188, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5843, predictive_accuracy: 0.5851, prior_entropy: 1, ram_hours: 0, recall: 0.5851, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.2883, run_cpu_time: 15.11,

    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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