OpenML
Supervised Data Stream Classification on BNG(heart-statlog)

Supervised Data Stream Classification on BNG(heart-statlog)

Task 2163 Supervised Data Stream Classification BNG(heart-statlog) 305 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8698, kappa: 0.7361, kb_relative_information_score: 739892, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8698, predictive_accuracy: 0.8699, prior_entropy: 1, recall: 0.8699, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.848, kappa: 0.6918, kb_relative_information_score: 696426, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.848, predictive_accuracy: 0.8482, prior_entropy: 1, recall: 0.8482, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8405, kappa: 0.6764, kb_relative_information_score: 681832, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8407, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8786, kappa: 0.7538, kb_relative_information_score: 757400, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8786, predictive_accuracy: 0.8787, prior_entropy: 1, recall: 0.8787, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8787, kappa: 0.7541, kb_relative_information_score: 757704, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8787, predictive_accuracy: 0.8789, prior_entropy: 1, recall: 0.8789, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8786, kappa: 0.754, kb_relative_information_score: 757556, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8787, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8787, kappa: 0.754, kb_relative_information_score: 757598, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8787, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8796, kappa: 0.7559, kb_relative_information_score: 759490, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8796, predictive_accuracy: 0.8797, prior_entropy: 1, recall: 0.8797, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8795, kappa: 0.7556, kb_relative_information_score: 759260, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8795, kappa: 0.7557, kb_relative_information_score: 759262, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8798, kappa: 0.7563, kb_relative_information_score: 759946, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8739, kappa: 0.7445, kb_relative_information_score: 748116, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8739, predictive_accuracy: 0.8741, prior_entropy: 1, recall: 0.8741, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8549, kappa: 0.7059, kb_relative_information_score: 710314, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.855, predictive_accuracy: 0.8552, prior_entropy: 1, recall: 0.8552, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8796, kappa: 0.7559, kb_relative_information_score: 759666, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8798, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8796, kappa: 0.7559, kb_relative_information_score: 759666, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8798, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733466, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8668, kappa: 0.7305, kb_relative_information_score: 733444, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8794, kappa: 0.7554, kb_relative_information_score: 759130, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 733168, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.8666, prior_entropy: 1, recall: 0.8666, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8787, kappa: 0.7541, kb_relative_information_score: 757542, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8787, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8866, kappa: 0.7698, kb_relative_information_score: 773866, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8872, predictive_accuracy: 0.8869, prior_entropy: 1, recall: 0.8869, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8827, kappa: 0.7624, kb_relative_information_score: 765542, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 1, recall: 0.8828, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733462, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733462, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.88, kappa: 0.7569, kb_relative_information_score: 760250, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.88, predictive_accuracy: 0.8801, prior_entropy: 1, recall: 0.8801, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733462, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733468, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733468, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8665, kappa: 0.7298, kb_relative_information_score: 732740, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8667, predictive_accuracy: 0.8664, prior_entropy: 1, recall: 0.8664, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8804, kappa: 0.7576, kb_relative_information_score: 761030, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8804, predictive_accuracy: 0.8805, prior_entropy: 1, recall: 0.8805, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8795, kappa: 0.7556, kb_relative_information_score: 759232, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 733468, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.885, kappa: 0.7666, kb_relative_information_score: 770482, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8853, predictive_accuracy: 0.8852, prior_entropy: 1, recall: 0.8852, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8852, kappa: 0.767, kb_relative_information_score: 770980, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8856, predictive_accuracy: 0.8855, prior_entropy: 1, recall: 0.8855, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8856, kappa: 0.7678, kb_relative_information_score: 771800, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8861, predictive_accuracy: 0.8859, prior_entropy: 1, recall: 0.8859, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8856, kappa: 0.7678, kb_relative_information_score: 771800, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8861, predictive_accuracy: 0.8859, prior_entropy: 1, recall: 0.8859, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8795, kappa: 0.7556, kb_relative_information_score: 759204, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.88, kappa: 0.7569, kb_relative_information_score: 734438.1595, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.88, predictive_accuracy: 0.8801, prior_entropy: 1, recall: 0.8801, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8795, kappa: 0.7556, kb_relative_information_score: 746455.7557, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 1, recall: 0.8796, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.324, root_relative_squared_error: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8816, kappa: 0.76, kb_relative_information_score: 724714.4613, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8817, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.879, kappa: 0.7547, kb_relative_information_score: 704734.7477, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8791, predictive_accuracy: 0.8792, prior_entropy: 1, recall: 0.8792, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8804, kappa: 0.7576, kb_relative_information_score: 684302.8725, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8805, predictive_accuracy: 0.8806, prior_entropy: 1, recall: 0.8806, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8741, kappa: 0.7443, kb_relative_information_score: 638817.7637, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8764, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.874, kappa: 0.7441, kb_relative_information_score: 613948.1467, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8763, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8739, kappa: 0.7439, kb_relative_information_score: 680080.2271, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8763, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8754, kappa: 0.7469, kb_relative_information_score: 724038.1181, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8776, predictive_accuracy: 0.8762, prior_entropy: 1, recall: 0.8762, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6226,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.88, kappa: 0.7568, kb_relative_information_score: 734043.1439, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.88, predictive_accuracy: 0.8801, prior_entropy: 1, recall: 0.8801, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6323,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8796, kappa: 0.7559, kb_relative_information_score: 675447.0152, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8797, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8736, kappa: 0.7432, kb_relative_information_score: 726202.6557, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8786, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8709, kappa: 0.7377, kb_relative_information_score: 600244.7403, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8734, predictive_accuracy: 0.8718, prior_entropy: 1, recall: 0.8718, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.6017, kappa: 0.1919, kb_relative_information_score: 218532, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6045, predictive_accuracy: 0.6093, prior_entropy: 1, recall: 0.6093, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.871, kappa: 0.738, kb_relative_information_score: 745316, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.878, predictive_accuracy: 0.8727, prior_entropy: 1, recall: 0.8727, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3973, kb_relative_information_score: 111892, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3091, predictive_accuracy: 0.5559, prior_entropy: 1, recall: 0.5559, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6664, root_relative_squared_error: 1.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3973, kb_relative_information_score: 111892, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3091, predictive_accuracy: 0.5559, prior_entropy: 1, recall: 0.5559, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6664, root_relative_squared_error: 1.3327,

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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