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

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

Task 180 Supervised Data Stream Classification BNG(vehicle,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.6797, kappa: 0.5815, kb_relative_information_score: 545190.3718, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6803, predictive_accuracy: 0.6859, prior_entropy: 2, recall: 0.6859, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.1598, kappa: 0.0224, kb_relative_information_score: 137435.4443, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2075, predictive_accuracy: 0.2726, prior_entropy: 2, recall: 0.2726, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.2237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.6244, kappa: 0.5106, kb_relative_information_score: 334508.9126, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6327, predictive_accuracy: 0.6322, prior_entropy: 2, recall: 0.6322, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.6463, kappa: 0.5367, kb_relative_information_score: 342249.5384, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6483, predictive_accuracy: 0.6522, prior_entropy: 2, recall: 0.6522, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.6565, kappa: 0.5468, kb_relative_information_score: 467513.8945, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6555, predictive_accuracy: 0.66, prior_entropy: 2, recall: 0.66, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.5209, kappa: 0.3831, kb_relative_information_score: 409675.8163, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5678, predictive_accuracy: 0.5346, prior_entropy: 2, recall: 0.5346, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6417, kappa: 0.5309, kb_relative_information_score: 490157.9103, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6423, predictive_accuracy: 0.6479, prior_entropy: 2, recall: 0.6479, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1005, kb_relative_information_score: 95177.2204, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0628, predictive_accuracy: 0.2507, prior_entropy: 2, recall: 0.2507, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1046, kappa: -0, kb_relative_information_score: 102061.2848, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0657, predictive_accuracy: 0.2564, prior_entropy: 2, recall: 0.2564, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.1823, kappa: 0.0193, kb_relative_information_score: 123375.5464, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.2694, prior_entropy: 2, recall: 0.2694, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5821, root_relative_squared_error: 1.3442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.6604, kappa: 0.5561, kb_relative_information_score: 515817.2107, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6604, predictive_accuracy: 0.6668, prior_entropy: 2, recall: 0.6668, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.3303, kappa: 0.1976, kb_relative_information_score: 174394.0531, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4025, predictive_accuracy: 0.3927, prior_entropy: 2, recall: 0.3927, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.3872, kappa: 0.1987, kb_relative_information_score: 272705.0292, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.3973, predictive_accuracy: 0.3977, prior_entropy: 2, recall: 0.3977, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.6494, kappa: 0.5425, kb_relative_information_score: 493659.4769, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6526, predictive_accuracy: 0.6564, prior_entropy: 2, recall: 0.6564, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.5547, kappa: 0.4296, kb_relative_information_score: 475009.2335, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5919, predictive_accuracy: 0.5703, prior_entropy: 2, recall: 0.5703, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.0381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5185, kappa: 0.3737, kb_relative_information_score: 331060.9031, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5508, predictive_accuracy: 0.5312, prior_entropy: 2, recall: 0.5312, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.5209, kappa: 0.383, kb_relative_information_score: 409272.6863, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5676, predictive_accuracy: 0.5345, prior_entropy: 2, recall: 0.5345, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.3432, kappa: 0.2044, kb_relative_information_score: 179965.674, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.3241, predictive_accuracy: 0.4048, prior_entropy: 2, recall: 0.4048, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.6725, kappa: 0.5714, kb_relative_information_score: 545900.3772, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6724, predictive_accuracy: 0.6784, prior_entropy: 2, recall: 0.6784, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1005, kb_relative_information_score: 95177.2204, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0628, predictive_accuracy: 0.2507, prior_entropy: 2, recall: 0.2507, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5853, kappa: 0.4557, kb_relative_information_score: 449595.1996, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5868, predictive_accuracy: 0.5914, prior_entropy: 2, recall: 0.5914, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.6804, kappa: 0.5823, kb_relative_information_score: 545895.3053, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6808, predictive_accuracy: 0.6866, prior_entropy: 2, ram_hours: 0.0003, recall: 0.6866, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.323, root_relative_squared_error: 0.746, run_cpu_time: 127.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.6804, kappa: 0.5823, kb_relative_information_score: 545895.3053, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6808, predictive_accuracy: 0.6866, prior_entropy: 2, ram_hours: 0.0002, recall: 0.6866, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.323, root_relative_squared_error: 0.746, run_cpu_time: 86.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.3191, kappa: 0.207, kb_relative_information_score: 275301.4103, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2993, predictive_accuracy: 0.3999, prior_entropy: 2, ram_hours: 0, recall: 0.3999, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.2646, run_cpu_time: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.4455, kappa: 0.2741, kb_relative_information_score: 226738.1598, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4713, predictive_accuracy: 0.4565, prior_entropy: 2, ram_hours: 0, recall: 0.4565, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9301, run_cpu_time: 95.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.5733, kappa: 0.4419, kb_relative_information_score: 411403.0526, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5798, predictive_accuracy: 0.5805, prior_entropy: 2, ram_hours: 0, recall: 0.5805, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8602, run_cpu_time: 11.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1005, kb_relative_information_score: 95074.4069, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0628, predictive_accuracy: 0.2507, prior_entropy: 2, ram_hours: 0.0023, recall: 0.2507, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.4132, run_cpu_time: 77.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.5931, kappa: 0.4683, kb_relative_information_score: 427320.4783, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5995, predictive_accuracy: 0.6006, prior_entropy: 2, ram_hours: 0, recall: 0.6006, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8241, run_cpu_time: 14.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1005, kb_relative_information_score: 95177.2204, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0628, predictive_accuracy: 0.2507, prior_entropy: 2, ram_hours: 0, recall: 0.2507, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.4136, run_cpu_time: 9.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1813, kappa: 0.0006, kb_relative_information_score: 7697.5432, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2366, predictive_accuracy: 0.2578, prior_entropy: 2, ram_hours: 0, recall: 0.2578, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9998, run_cpu_time: 11.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.6774, kappa: 0.5783, kb_relative_information_score: 523601.5439, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6783, predictive_accuracy: 0.6835, prior_entropy: 2, ram_hours: 0.0003, recall: 0.6835, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7473, run_cpu_time: 152.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.494, kappa: 0.3524, kb_relative_information_score: 399081.9477, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5457, predictive_accuracy: 0.5112, prior_entropy: 2, ram_hours: 0, recall: 0.5112, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9954, run_cpu_time: 19.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.6751, kappa: 0.575, kb_relative_information_score: 545796.4057, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6754, predictive_accuracy: 0.6811, prior_entropy: 2, ram_hours: 0, recall: 0.6811, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.328, root_relative_squared_error: 0.7574, run_cpu_time: 44.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.6774, kappa: 0.5783, kb_relative_information_score: 523601.5439, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6783, predictive_accuracy: 0.6835, prior_entropy: 2, ram_hours: 0.0002, recall: 0.6835, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7473, run_cpu_time: 99.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.6725, kappa: 0.5714, kb_relative_information_score: 545900.3772, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6724, predictive_accuracy: 0.6784, prior_entropy: 2, ram_hours: 0, recall: 0.6784, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7615, run_cpu_time: 19.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5853, kappa: 0.4557, kb_relative_information_score: 449595.1996, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5868, predictive_accuracy: 0.5914, prior_entropy: 2, ram_hours: 0, recall: 0.5914, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8916, run_cpu_time: 12.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.6101, kappa: 0.4912, kb_relative_information_score: 337484.9329, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6129, predictive_accuracy: 0.6178, prior_entropy: 2, ram_hours: 0, recall: 0.6178, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8788, run_cpu_time: 15.87,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.5856, kappa: 0.4546, kb_relative_information_score: 426984.3125, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5859, predictive_accuracy: 0.5906, prior_entropy: 2, ram_hours: 0, recall: 0.5906, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8299, run_cpu_time: 353.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.6948, kappa: 0.6007, kb_relative_information_score: 564386.5411, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6955, predictive_accuracy: 0.7003, prior_entropy: 2, ram_hours: 0.0028, recall: 0.7003, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.725, run_cpu_time: 217.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.5209, kappa: 0.383, kb_relative_information_score: 409719.0943, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5678, predictive_accuracy: 0.5346, prior_entropy: 2, ram_hours: 0, recall: 0.5346, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9764, run_cpu_time: 17.7,

    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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