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Function: require_once

OpenML
Task
Supervised Data Stream Classification on credit-approval

Supervised Data Stream Classification on credit-approval

Task 2197 Supervised Data Stream Classification credit-approval 25 runs submitted
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Visibility: Public
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Metric:

25 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8008, kappa: 0.5959, kb_relative_information_score: 418.5082, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8106, predictive_accuracy: 0.8043, prior_entropy: 1, recall: 0.8043, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8346, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9783, kappa: 0.956, kb_relative_information_score: 660, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 1, recall: 0.9783, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8842, kappa: 0.766, kb_relative_information_score: 262.8731, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8848, predictive_accuracy: 0.8841, prior_entropy: 1, recall: 0.8841, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7445, run_cpu_time: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8812, kappa: 0.7649, kb_relative_information_score: 526, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.9007, predictive_accuracy: 0.8812, prior_entropy: 1, recall: 0.8812, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, kb_relative_information_score: -76, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1.1101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4901, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8085, kappa: 0.6119, kb_relative_information_score: 410.9812, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8084, predictive_accuracy: 0.8087, prior_entropy: 1, recall: 0.8087, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7528, run_cpu_time: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.801, kappa: 0.5963, kb_relative_information_score: 398.5111, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.801, predictive_accuracy: 0.8014, prior_entropy: 1, recall: 0.8014, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8228, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.5427, kappa: 0.1339, kb_relative_information_score: 72.0165, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.5853, predictive_accuracy: 0.5522, prior_entropy: 1, recall: 0.5522, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.808, kappa: 0.6104, kb_relative_information_score: 406.8009, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8084, predictive_accuracy: 0.8087, prior_entropy: 1, recall: 0.8087, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8233, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.801, kappa: 0.5963, kb_relative_information_score: 398.5111, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.801, predictive_accuracy: 0.8014, prior_entropy: 1, recall: 0.8014, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8228, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8462, kappa: 0.6884, kb_relative_information_score: 337.619, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 1, recall: 0.8464, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7381, run_cpu_time: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8381, kappa: 0.6766, kb_relative_information_score: 367.6446, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8474, predictive_accuracy: 0.8377, prior_entropy: 1, ram_hours: 0, recall: 0.8377, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7096, run_cpu_time: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8129, kappa: 0.6209, kb_relative_information_score: 411.7185, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8128, predictive_accuracy: 0.813, prior_entropy: 1, ram_hours: 0, recall: 0.813, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7495, run_cpu_time: 0.0575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, ram_hours: 0, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, ram_hours: 0, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8336, kappa: 0.6638, kb_relative_information_score: 413.2975, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8343, predictive_accuracy: 0.8333, prior_entropy: 1, ram_hours: 0, recall: 0.8333, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7369, run_cpu_time: 0.1995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7564, kappa: 0.5192, kb_relative_information_score: 354, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.776, predictive_accuracy: 0.7565, prior_entropy: 1, ram_hours: 0, recall: 0.7565, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9869, run_cpu_time: 0.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6834, kappa: 0.3686, kb_relative_information_score: 151.0858, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.6928, predictive_accuracy: 0.6826, prior_entropy: 1, ram_hours: 0, recall: 0.6826, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9448, run_cpu_time: 0.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.5427, kappa: 0.1339, kb_relative_information_score: 72.0165, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.5853, predictive_accuracy: 0.5522, prior_entropy: 1, ram_hours: 0, recall: 0.5522, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8249, kappa: 0.6521, kb_relative_information_score: 364.4575, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.8391, predictive_accuracy: 0.8246, prior_entropy: 1, ram_hours: 0, recall: 0.8246, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.719, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, kb_relative_information_score: -76, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1.1101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.274, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 690, precision: 0.198, predictive_accuracy: 0.4449, prior_entropy: 1, recall: 0.4449, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,

    Metric:

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    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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