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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(adult)

Supervised Data Stream Classification on BNG(adult)

Task 6705 Supervised Data Stream Classification BNG(adult) 44 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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44 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.853, kappa: 0.5846, kb_relative_information_score: 627519.2726, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8526, predictive_accuracy: 0.8586, prior_entropy: 1, recall: 0.8586, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8309, kappa: 0.521, kb_relative_information_score: 545146.5639, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8296, predictive_accuracy: 0.8379, prior_entropy: 1, recall: 0.8379, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8443, kappa: 0.5928, kb_relative_information_score: 643175.8541, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8565, predictive_accuracy: 0.8387, prior_entropy: 1, recall: 0.8387, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8532, kappa: 0.585, kb_relative_information_score: 635663.0262, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8529, predictive_accuracy: 0.8589, prior_entropy: 1, recall: 0.8589, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.093, kb_relative_information_score: -519728, mean_absolute_error: 0.7599, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0577, predictive_accuracy: 0.2401, prior_entropy: 1, recall: 0.2401, relative_absolute_error: 1.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8717, root_relative_squared_error: 1.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.6344, kappa: 0.0009, kb_relative_information_score: 271504.1426, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6354, predictive_accuracy: 0.6334, prior_entropy: 1, recall: 0.6334, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5877, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.6352, kappa: 0.0011, kb_relative_information_score: 269728.1278, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6355, predictive_accuracy: 0.6349, prior_entropy: 1, recall: 0.6349, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6036, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8412, kappa: 0.5485, kb_relative_information_score: 600304.7448, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8414, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8545, kappa: 0.5896, kb_relative_information_score: 701945.2165, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8539, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6564, kappa: -0, kb_relative_information_score: 430223.2398, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6341, predictive_accuracy: 0.7593, prior_entropy: 1, recall: 0.7593, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.6989, kappa: 0.1245, kb_relative_information_score: 455574, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6862, predictive_accuracy: 0.7278, prior_entropy: 1, recall: 0.7278, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8294, kappa: 0.519, kb_relative_information_score: 573170.6776, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8276, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.6615, kappa: 0.0002, kb_relative_information_score: 442985.2276, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6352, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.8137, kappa: 0.469, kb_relative_information_score: 498969.203, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8124, predictive_accuracy: 0.8234, prior_entropy: 1, recall: 0.8234, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8243, kappa: 0.5353, kb_relative_information_score: 611158.0599, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8333, predictive_accuracy: 0.8191, prior_entropy: 1, recall: 0.8191, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.6562, kappa: -0, kb_relative_information_score: 435722.8476, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5774, predictive_accuracy: 0.7599, prior_entropy: 1, recall: 0.7599, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8535, kappa: 0.5897, kb_relative_information_score: 632340.7896, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8522, predictive_accuracy: 0.8573, prior_entropy: 1, recall: 0.8573, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.093, kb_relative_information_score: -519728, mean_absolute_error: 0.7599, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0577, predictive_accuracy: 0.2401, prior_entropy: 1, recall: 0.2401, relative_absolute_error: 1.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8717, root_relative_squared_error: 1.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.093, kb_relative_information_score: -519728, mean_absolute_error: 0.7599, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0577, predictive_accuracy: 0.2401, prior_entropy: 1, recall: 0.2401, relative_absolute_error: 1.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8717, root_relative_squared_error: 1.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8333, kappa: 0.5329, kb_relative_information_score: 579157.7654, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8313, predictive_accuracy: 0.8376, prior_entropy: 1, recall: 0.8376, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.345, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.8444, kappa: 0.5638, kb_relative_information_score: 697706, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8428, predictive_accuracy: 0.8486, prior_entropy: 1, recall: 0.8486, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.093, kb_relative_information_score: -519200, mean_absolute_error: 0.7596, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0577, predictive_accuracy: 0.2401, prior_entropy: 1, recall: 0.2401, relative_absolute_error: 1.5192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8714, root_relative_squared_error: 1.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8393, kappa: 0.5762, kb_relative_information_score: 632098.2267, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8488, predictive_accuracy: 0.8343, prior_entropy: 1, recall: 0.8343, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.7185, kappa: 0.1782, kb_relative_information_score: 498460, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7107, predictive_accuracy: 0.749, prior_entropy: 1, recall: 0.749, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8001, kappa: 0.4219, kb_relative_information_score: 553298.8969, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8027, predictive_accuracy: 0.8163, prior_entropy: 1, recall: 0.8163, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8333, kappa: 0.5329, kb_relative_information_score: 579157.7654, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8313, predictive_accuracy: 0.8376, prior_entropy: 1, recall: 0.8376, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.345, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.6352, kappa: 0.001, kb_relative_information_score: 269814, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6354, predictive_accuracy: 0.6349, prior_entropy: 1, recall: 0.6349, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6042, root_relative_squared_error: 1.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.6562, kappa: -0, kb_relative_information_score: 313452.0164, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5774, predictive_accuracy: 0.7599, prior_entropy: 1, recall: 0.7599, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.6354, kappa: 0.0009, kb_relative_information_score: 270790, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6354, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6038, root_relative_squared_error: 1.2077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8329, kappa: 0.5268, kb_relative_information_score: 589199.3554, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8317, predictive_accuracy: 0.8398, prior_entropy: 1, recall: 0.8398, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8525, kappa: 0.5874, kb_relative_information_score: 629748.0451, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.851, predictive_accuracy: 0.8559, prior_entropy: 1, recall: 0.8559, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.323, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.093, kb_relative_information_score: -519728, mean_absolute_error: 0.7599, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0577, predictive_accuracy: 0.2401, prior_entropy: 1, recall: 0.2401, relative_absolute_error: 1.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8717, root_relative_squared_error: 1.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8534, kappa: 0.5896, kb_relative_information_score: 633764.7053, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8521, predictive_accuracy: 0.8571, prior_entropy: 1, recall: 0.8571, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7792, kappa: 0.3517, kb_relative_information_score: 506154.6328, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7954, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8125, kappa: 0.4846, kb_relative_information_score: 437663.3205, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8119, predictive_accuracy: 0.8132, prior_entropy: 1, recall: 0.8132, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8442, kappa: 0.5674, kb_relative_information_score: 406861.5099, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8427, predictive_accuracy: 0.8464, prior_entropy: 1, recall: 0.8464, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8572, kappa: 0.5993, kb_relative_information_score: 631582.9653, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8561, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8571, kappa: 0.5989, kb_relative_information_score: 631770.7013, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.856, predictive_accuracy: 0.8611, prior_entropy: 1, recall: 0.8611, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8567, kappa: 0.5988, kb_relative_information_score: 635525.684, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8554, predictive_accuracy: 0.8603, prior_entropy: 1, recall: 0.8603, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8155, kappa: 0.4819, kb_relative_information_score: 549296.1579, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8129, predictive_accuracy: 0.8207, prior_entropy: 1, recall: 0.8207, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8161, kappa: 0.4851, kb_relative_information_score: 549281.7527, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8136, predictive_accuracy: 0.8206, prior_entropy: 1, recall: 0.8206, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8534, kappa: 0.5896, kb_relative_information_score: 633764.7053, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8521, predictive_accuracy: 0.8571, prior_entropy: 1, recall: 0.8571, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.6354, kappa: 0.0003, kb_relative_information_score: 271062, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6352, predictive_accuracy: 0.6355, prior_entropy: 1, recall: 0.6355, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6037, root_relative_squared_error: 1.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8443, kappa: 0.5927, kb_relative_information_score: 643097.6915, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8565, predictive_accuracy: 0.8387, prior_entropy: 1, recall: 0.8387, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6882,

    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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