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OpenML
Task
Supervised Data Stream Classification on RandomRBF_50_1E-4

Supervised Data Stream Classification on RandomRBF_50_1E-4

Task 198 Supervised Data Stream Classification RandomRBF_50_1E-4 291 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.1727, kappa: 0.0158, kb_relative_information_score: 172668.5052, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2654, predictive_accuracy: 0.309, prior_entropy: 2.3219, recall: 0.309, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.5524, kappa: 0.4189, kb_relative_information_score: 422991.3237, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5558, predictive_accuracy: 0.5567, prior_entropy: 2.3219, recall: 0.5567, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8101, kappa: 0.7542, kb_relative_information_score: 672045.3132, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8102, predictive_accuracy: 0.8103, prior_entropy: 2.3219, recall: 0.8103, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.0475, kappa: 0, kb_relative_information_score: 101871.3687, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.117, predictive_accuracy: 0.1663, prior_entropy: 2.3219, recall: 0.1663, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.2382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.507, kappa: 0.3602, kb_relative_information_score: 335955.8911, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5101, predictive_accuracy: 0.5134, prior_entropy: 2.3219, recall: 0.5134, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.7481, kappa: 0.6728, kb_relative_information_score: 628789.3692, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7523, predictive_accuracy: 0.7496, prior_entropy: 2.3219, recall: 0.7496, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.5659, kappa: 0.4359, kb_relative_information_score: 399770.8625, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5678, predictive_accuracy: 0.5681, prior_entropy: 2.3219, recall: 0.5681, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0474, kb_relative_information_score: 50727.1726, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0277, predictive_accuracy: 0.1663, prior_entropy: 2.3219, recall: 0.1663, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.1591, kappa: 0.0639, kb_relative_information_score: 138620.8758, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.1474, predictive_accuracy: 0.2401, prior_entropy: 2.3219, recall: 0.2401, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7702, kappa: 0.7025, kb_relative_information_score: 645171.9451, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7703, predictive_accuracy: 0.7705, prior_entropy: 2.3219, recall: 0.7705, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.5429, kappa: 0.4093, kb_relative_information_score: 264785.535, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5551, predictive_accuracy: 0.5538, prior_entropy: 2.3219, recall: 0.5538, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.3196, kappa: 0.1396, kb_relative_information_score: 165746.5181, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.3687, predictive_accuracy: 0.3728, prior_entropy: 2.3219, recall: 0.3728, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.3338, kappa: 0.1354, kb_relative_information_score: 248396.6819, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.3309, predictive_accuracy: 0.3399, prior_entropy: 2.3219, recall: 0.3399, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7717, kappa: 0.7043, kb_relative_information_score: 606114.8794, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7721, predictive_accuracy: 0.7723, prior_entropy: 2.3219, recall: 0.7723, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.267, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.4711, kappa: 0.3325, kb_relative_information_score: 403502.2966, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5025, predictive_accuracy: 0.5001, prior_entropy: 2.3219, recall: 0.5001, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.2328, kappa: 0.0045, kb_relative_information_score: 134862.0861, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2351, predictive_accuracy: 0.2494, prior_entropy: 2.3219, recall: 0.2494, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.2171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.2596, kappa: 0.0556, kb_relative_information_score: 135527.927, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.3058, predictive_accuracy: 0.3104, prior_entropy: 2.3219, recall: 0.3104, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.1643, kappa: 0.0084, kb_relative_information_score: 106393.0785, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2496, predictive_accuracy: 0.3027, prior_entropy: 2.3219, recall: 0.3027, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.5586, kappa: 0.4271, kb_relative_information_score: 414959.5255, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5632, predictive_accuracy: 0.5628, prior_entropy: 2.3219, recall: 0.5628, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.224, kappa: 0.0005, kb_relative_information_score: 122077.2507, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2272, predictive_accuracy: 0.2224, prior_entropy: 2.3219, recall: 0.2224, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.535, root_relative_squared_error: 1.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.1385, kappa: -0, kb_relative_information_score: 104455.7694, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0901, predictive_accuracy: 0.3001, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3001, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9831, run_cpu_time: 9.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.238, kappa: 0.0079, kb_relative_information_score: 146593.0017, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2356, predictive_accuracy: 0.2506, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2506, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.3684, run_cpu_time: 7.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, ram_hours: 0.0046, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591, run_cpu_time: 127.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.1321, kappa: 0.0456, kb_relative_information_score: 103200.5756, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.1936, predictive_accuracy: 0.2124, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2124, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.4032, run_cpu_time: 6.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591, run_cpu_time: 7.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158592.0626, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, ram_hours: 0.0017, recall: 0.2612, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.3587, run_cpu_time: 79.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.2406, kappa: 0.0099, kb_relative_information_score: 137126.1361, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.239, predictive_accuracy: 0.2562, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2562, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.0547, run_cpu_time: 20.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.2382, kappa: 0.0113, kb_relative_information_score: 145956.1458, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2333, predictive_accuracy: 0.2695, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2695, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0154, run_cpu_time: 9.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.5916, kappa: 0.469, kb_relative_information_score: 420753.8905, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5942, predictive_accuracy: 0.5936, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5936, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8303, run_cpu_time: 168.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.3237, kappa: 0.1284, kb_relative_information_score: 181790.058, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.346, predictive_accuracy: 0.3562, prior_entropy: 2.3219, ram_hours: 0.0245, recall: 0.3562, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9617, run_cpu_time: 451.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.4477, kappa: 0.2822, kb_relative_information_score: 325721.3048, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4503, predictive_accuracy: 0.4527, prior_entropy: 2.3219, ram_hours: 0, recall: 0.4527, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9303, run_cpu_time: 22.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.2271, kappa: 0.0004, kb_relative_information_score: 119943.2394, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2271, predictive_accuracy: 0.2271, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2271, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.556, root_relative_squared_error: 1.3901, run_cpu_time: 9.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.224, kappa: 0.0005, kb_relative_information_score: 122077.2507, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2272, predictive_accuracy: 0.2224, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2224, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.535, root_relative_squared_error: 1.3375, run_cpu_time: 10.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.6202, kappa: 0.5077, kb_relative_information_score: 506381.9442, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6205, predictive_accuracy: 0.621, prior_entropy: 2.3219, ram_hours: 0, recall: 0.621, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.8107, run_cpu_time: 43.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, ram_hours: 0.8284, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591, run_cpu_time: 3863.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.361, kappa: 0.1894, kb_relative_information_score: 258137.9513, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5155, predictive_accuracy: 0.3927, prior_entropy: 2.3219, ram_hours: 0.0002, recall: 0.3927, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.1759, run_cpu_time: 128.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1082, kb_relative_information_score: 158738.0774, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0682, predictive_accuracy: 0.2612, prior_entropy: 2.3219, ram_hours: 0.0029, recall: 0.2612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.3591, run_cpu_time: 149.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.6333, kappa: 0.5235, kb_relative_information_score: 472556.2141, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6362, predictive_accuracy: 0.635, prior_entropy: 2.3219, ram_hours: 0.1728, recall: 0.635, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.8213, run_cpu_time: 3531.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.2232, kappa: -0.0049, kb_relative_information_score: 120928.4281, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2228, predictive_accuracy: 0.2277, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2277, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.2269, run_cpu_time: 9.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5873, kappa: 0.4631, kb_relative_information_score: 347478.9119, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6025, predictive_accuracy: 0.5929, prior_entropy: 2.3219, ram_hours: 0.0002, recall: 0.5929, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8533, run_cpu_time: 126.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8935, kappa: 0.8625, kb_relative_information_score: 865101.2136, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8944, predictive_accuracy: 0.8937, prior_entropy: 2.3219, ram_hours: 0.0006, recall: 0.8937, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4387, run_cpu_time: 4344.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8935, kappa: 0.8625, kb_relative_information_score: 865101.2136, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8944, predictive_accuracy: 0.8937, prior_entropy: 2.3219, ram_hours: 0.0005, recall: 0.8937, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4387, run_cpu_time: 3780.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.2591, kappa: 0.0549, kb_relative_information_score: 135197.8268, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.3041, predictive_accuracy: 0.3099, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3099, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9825, run_cpu_time: 16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8386, kappa: 0.7899, kb_relative_information_score: 652107.0154, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8408, predictive_accuracy: 0.8384, prior_entropy: 2.3219, ram_hours: 0.0003, recall: 0.8384, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6005, run_cpu_time: 244.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0474, kb_relative_information_score: 50727.1726, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0277, predictive_accuracy: 0.1663, prior_entropy: 2.3219, ram_hours: 0, recall: 0.1663, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.4437, run_cpu_time: 9.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 865552.386, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8936, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4389, run_cpu_time: 291.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.4477, kappa: 0.2822, kb_relative_information_score: 325721.3048, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4503, predictive_accuracy: 0.4527, prior_entropy: 2.3219, ram_hours: 0, recall: 0.4527, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9303, run_cpu_time: 23.41,

    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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