Task
Supervised Data Stream Classification on BNG(zoo)

Supervised Data Stream Classification on BNG(zoo)

Task 2168 Supervised Data Stream Classification BNG(zoo) 290 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9159, kappa: 0.8942, kb_relative_information_score: 808487.9506, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.917, predictive_accuracy: 0.9197, prior_entropy: 2.8074, recall: 0.9197, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.163, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.932, kappa: 0.9129, kb_relative_information_score: 853719.5398, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9317, predictive_accuracy: 0.9335, prior_entropy: 2.8074, recall: 0.9335, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9332, kappa: 0.9142, kb_relative_information_score: 873977.1659, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9328, predictive_accuracy: 0.9345, prior_entropy: 2.8074, recall: 0.9345, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9347, kappa: 0.9158, kb_relative_information_score: 898399.662, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9345, predictive_accuracy: 0.9357, prior_entropy: 2.8074, recall: 0.9357, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9363, kappa: 0.9173, kb_relative_information_score: 926441.9819, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 2.8074, recall: 0.9367, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.3495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9361, kappa: 0.917, kb_relative_information_score: 932136.597, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9362, predictive_accuracy: 0.9365, prior_entropy: 2.8074, recall: 0.9365, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9303, kappa: 0.909, kb_relative_information_score: 931060.6064, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9306, predictive_accuracy: 0.9303, prior_entropy: 2.8074, recall: 0.9303, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9303, kappa: 0.909, kb_relative_information_score: 924814.135, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9306, predictive_accuracy: 0.9303, prior_entropy: 2.8074, recall: 0.9303, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9159, kappa: 0.8942, kb_relative_information_score: 808487.9506, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.917, predictive_accuracy: 0.9197, prior_entropy: 2.8074, recall: 0.9197, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.163, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.921, kappa: 0.9003, kb_relative_information_score: 847993.7404, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9217, predictive_accuracy: 0.9242, prior_entropy: 2.8074, recall: 0.9242, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9293, kappa: 0.9097, kb_relative_information_score: 884137.9105, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9294, predictive_accuracy: 0.9312, prior_entropy: 2.8074, recall: 0.9312, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9323, kappa: 0.9128, kb_relative_information_score: 926071.7445, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9325, predictive_accuracy: 0.9334, prior_entropy: 2.8074, recall: 0.9334, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9351, kappa: 0.9159, kb_relative_information_score: 932067.1304, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9352, predictive_accuracy: 0.9357, prior_entropy: 2.8074, recall: 0.9357, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9275, kappa: 0.906, kb_relative_information_score: 931055.1154, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9286, predictive_accuracy: 0.9282, prior_entropy: 2.8074, recall: 0.9282, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9304, kappa: 0.9092, kb_relative_information_score: 924980.3345, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 2.8074, recall: 0.9305, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9302, kappa: 0.909, kb_relative_information_score: 924775.2832, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9305, predictive_accuracy: 0.9303, prior_entropy: 2.8074, recall: 0.9303, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9303, kappa: 0.909, kb_relative_information_score: 924830.3233, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9306, predictive_accuracy: 0.9303, prior_entropy: 2.8074, recall: 0.9303, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.931, kappa: 0.91, kb_relative_information_score: 925628.9444, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9313, predictive_accuracy: 0.9311, prior_entropy: 2.8074, recall: 0.9311, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9274, kappa: 0.9058, kb_relative_information_score: 922206.7449, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9272, predictive_accuracy: 0.9279, prior_entropy: 2.8074, recall: 0.9279, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9221, kappa: 0.8995, kb_relative_information_score: 917053.48, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9217, predictive_accuracy: 0.9231, prior_entropy: 2.8074, recall: 0.9231, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9303, kappa: 0.909, kb_relative_information_score: 924814.135, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9306, predictive_accuracy: 0.9303, prior_entropy: 2.8074, recall: 0.9303, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9297, kappa: 0.9083, kb_relative_information_score: 924233.5158, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9299, predictive_accuracy: 0.9298, prior_entropy: 2.8074, recall: 0.9298, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9296, kappa: 0.9082, kb_relative_information_score: 924167.6836, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9297, prior_entropy: 2.8074, recall: 0.9297, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9295, kappa: 0.9082, kb_relative_information_score: 924114.8019, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 2.8074, recall: 0.9297, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9325, kappa: 0.9128, kb_relative_information_score: 905995.9933, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 2.8074, recall: 0.9333, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9337, kappa: 0.9144, kb_relative_information_score: 905826.2447, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9339, predictive_accuracy: 0.9345, prior_entropy: 2.8074, recall: 0.9345, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9344, kappa: 0.9152, kb_relative_information_score: 904944.8805, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9346, predictive_accuracy: 0.9352, prior_entropy: 2.8074, recall: 0.9352, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9347, kappa: 0.9157, kb_relative_information_score: 903897.1882, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 2.8074, recall: 0.9355, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.6508, kappa: 0.5919, kb_relative_information_score: 628741.0226, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6767, predictive_accuracy: 0.7038, prior_entropy: 2.8074, recall: 0.7038, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.931, kappa: 0.9099, kb_relative_information_score: 925501.5967, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 2.8074, recall: 0.931, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9266, kappa: 0.9046, kb_relative_information_score: 921171.775, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9266, predictive_accuracy: 0.927, prior_entropy: 2.8074, recall: 0.927, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9252, kappa: 0.9018, kb_relative_information_score: 918738.1389, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.926, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9295, kappa: 0.9081, kb_relative_information_score: 924105.0889, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 2.8074, recall: 0.9297, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9211, kappa: 0.8988, kb_relative_information_score: 819316.4644, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9214, predictive_accuracy: 0.9229, prior_entropy: 2.8074, recall: 0.9229, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9309, kappa: 0.9097, kb_relative_information_score: 865239.5259, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9314, predictive_accuracy: 0.9309, prior_entropy: 2.8074, recall: 0.9309, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9319, kappa: 0.9104, kb_relative_information_score: 893889.386, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9329, predictive_accuracy: 0.9313, prior_entropy: 2.8074, recall: 0.9313, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9318, kappa: 0.9101, kb_relative_information_score: 929077.9582, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9331, predictive_accuracy: 0.931, prior_entropy: 2.8074, recall: 0.931, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.3288, kappa: 0.1043, kb_relative_information_score: 367742.4227, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3678, predictive_accuracy: 0.4142, prior_entropy: 2.8074, recall: 0.4142, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9284, kappa: 0.9054, kb_relative_information_score: 927323.4552, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9284, kappa: 0.9054, kb_relative_information_score: 921690.8788, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9211, kappa: 0.8988, kb_relative_information_score: 819316.4644, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9214, predictive_accuracy: 0.9229, prior_entropy: 2.8074, recall: 0.9229, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9251, kappa: 0.9041, kb_relative_information_score: 876364.1935, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9246, predictive_accuracy: 0.9268, prior_entropy: 2.8074, recall: 0.9268, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9317, kappa: 0.9103, kb_relative_information_score: 929024.2025, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9312, prior_entropy: 2.8074, recall: 0.9312, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9239, kappa: 0.9012, kb_relative_information_score: 927317.9777, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.925, predictive_accuracy: 0.9245, prior_entropy: 2.8074, recall: 0.9245, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.3805,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9254, kappa: 0.9028, kb_relative_information_score: 919644.6818, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9255, predictive_accuracy: 0.9255, prior_entropy: 2.8074, recall: 0.9255, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4168,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.4793, kappa: 0.3536, kb_relative_information_score: 480257.9387, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4737, predictive_accuracy: 0.5445, prior_entropy: 2.8074, recall: 0.5445, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.93, kappa: 0.9068, kb_relative_information_score: 917999.7257, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9283, prior_entropy: 2.8074, recall: 0.9283, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9299, kappa: 0.9067, kb_relative_information_score: 922592.0256, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9325, predictive_accuracy: 0.9283, prior_entropy: 2.8074, recall: 0.9283, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4091,

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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