Task
Supervised Data Stream Classification on segment

Supervised Data Stream Classification on segment

Task 2204 Supervised Data Stream Classification segment 26 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.1481, kappa: 0.0061, kb_relative_information_score: 186.0994, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1481, predictive_accuracy: 0.1481, prior_entropy: 2.8074, ram_hours: 0, recall: 0.1481, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.4099, run_cpu_time: 0.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.768, kappa: 0.7414, kb_relative_information_score: 1775.784, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7955, predictive_accuracy: 0.7784, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7784, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.6874, run_cpu_time: 0.1365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8379, kappa: 0.8126, kb_relative_information_score: 1845.4735, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8384, predictive_accuracy: 0.8394, prior_entropy: 2.8074, recall: 0.8394, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.5289, run_cpu_time: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.5315, kappa: 0.4333, kb_relative_information_score: 1035.2964, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.738, predictive_accuracy: 0.5143, prior_entropy: 2.8074, recall: 0.5143, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8226, run_cpu_time: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.0357, kb_relative_information_score: 104.5137, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0204, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.2495, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.1054, kappa: 0.0657, kb_relative_information_score: 313.4471, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1011, predictive_accuracy: 0.1991, prior_entropy: 2.8074, recall: 0.1991, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.367, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.6289, kappa: 0.5146, kb_relative_information_score: 1194.953, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.83, predictive_accuracy: 0.584, prior_entropy: 2.8074, recall: 0.584, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7172, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.622, kappa: 0.602, kb_relative_information_score: 1554.5665, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6817, predictive_accuracy: 0.6589, prior_entropy: 2.8074, recall: 0.6589, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7485, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7732, kappa: 0.746, kb_relative_information_score: 1780.0954, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.798, predictive_accuracy: 0.7823, prior_entropy: 2.8074, recall: 0.7823, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.237, root_relative_squared_error: 0.6773, run_cpu_time: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.3961, kappa: 0.3035, kb_relative_information_score: 753.1236, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5125, predictive_accuracy: 0.403, prior_entropy: 2.8074, recall: 0.403, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.9768, run_cpu_time: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0357, kb_relative_information_score: 173.1488, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0204, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142, run_cpu_time: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9009, kappa: 0.8859, kb_relative_information_score: 2029.9771, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9027, predictive_accuracy: 0.9022, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9022, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4085, run_cpu_time: 12.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.7732, kappa: 0.7465, kb_relative_information_score: 1779.0213, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8023, predictive_accuracy: 0.7827, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7827, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.6852, run_cpu_time: 0.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.768, kappa: 0.7414, kb_relative_information_score: 1775.784, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7955, predictive_accuracy: 0.7784, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7784, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.6874, run_cpu_time: 0.1184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8273, kappa: 0.802, kb_relative_information_score: 1901.2655, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8288, predictive_accuracy: 0.8303, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8303, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.5282, run_cpu_time: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9004, kappa: 0.8854, kb_relative_information_score: 2030.2387, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9022, predictive_accuracy: 0.9017, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9017, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4086, run_cpu_time: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4685, f_measure: 0.0863, kappa: -0.0167, kb_relative_information_score: 20.5878, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0923, predictive_accuracy: 0.1286, prior_entropy: 2.8074, ram_hours: 0, recall: 0.1286, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0023, run_cpu_time: 0.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.643, kappa: 0.5278, kb_relative_information_score: 1233.4218, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8497, predictive_accuracy: 0.5952, prior_entropy: 2.8074, recall: 0.5952, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7062, run_cpu_time: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4685, f_measure: 0.0863, kappa: -0.0167, kb_relative_information_score: 20.5878, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0923, predictive_accuracy: 0.1286, prior_entropy: 2.8074, recall: 0.1286, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0023, run_cpu_time: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.7686, kappa: 0.7419, kb_relative_information_score: 1776.6829, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7958, predictive_accuracy: 0.7788, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7788, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6878, run_cpu_time: 0.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.0579, kappa: 0.0005, kb_relative_information_score: 174.228, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0437, predictive_accuracy: 0.1433, prior_entropy: 2.8074, ram_hours: 0, recall: 0.1433, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.4139, run_cpu_time: 0.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.769, kappa: 0.7434, kb_relative_information_score: 1779.4223, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7946, predictive_accuracy: 0.7801, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7801, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.656, run_cpu_time: 0.7499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0357, kb_relative_information_score: 173.1488, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0204, predictive_accuracy: 0.1429, prior_entropy: 2.8074, ram_hours: 0, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.769, kappa: 0.7434, kb_relative_information_score: 1779.4223, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7946, predictive_accuracy: 0.7801, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7801, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.656, run_cpu_time: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.6144, kappa: 0.5035, kb_relative_information_score: 451.6889, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.804, predictive_accuracy: 0.5745, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5745, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.927, run_cpu_time: 0.15,

    Metric:

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    Leaderboard

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    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.

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    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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