Task
Supervised Data Stream Classification on BNG(solar-flare)

Supervised Data Stream Classification on BNG(solar-flare)

Task 6703 Supervised Data Stream Classification BNG(solar-flare) 45 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

45 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.6979, kappa: 0.6427, kb_relative_information_score: 443114.3448, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6932, predictive_accuracy: 0.7257, prior_entropy: 2.585, recall: 0.7257, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.6942, kappa: 0.6384, kb_relative_information_score: 434809.6778, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.7084, predictive_accuracy: 0.723, prior_entropy: 2.585, recall: 0.723, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.6919, kappa: 0.6355, kb_relative_information_score: 445228.4886, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6838, predictive_accuracy: 0.72, prior_entropy: 2.585, recall: 0.72, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.6983, kappa: 0.6442, kb_relative_information_score: 448481.0095, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6964, predictive_accuracy: 0.7269, prior_entropy: 2.585, recall: 0.7269, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.434, kappa: 0.3705, kb_relative_information_score: 297373.5311, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.4846, predictive_accuracy: 0.5114, prior_entropy: 2.585, recall: 0.5114, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0676, kb_relative_information_score: 79790.1015, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.0406, predictive_accuracy: 0.2015, prior_entropy: 2.585, recall: 0.2015, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.2521, kappa: 0.1729, kb_relative_information_score: 198495.4538, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.2328, predictive_accuracy: 0.3639, prior_entropy: 2.585, recall: 0.3639, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.2986, kappa: 0.2535, kb_relative_information_score: 243076.3566, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.2623, predictive_accuracy: 0.425, prior_entropy: 2.585, recall: 0.425, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.6953, kappa: 0.6363, kb_relative_information_score: 443628.1957, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6928, predictive_accuracy: 0.7205, prior_entropy: 2.585, recall: 0.7205, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.6984, kappa: 0.6453, kb_relative_information_score: 218833.795, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6906, predictive_accuracy: 0.7276, prior_entropy: 2.585, recall: 0.7276, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.4645, kappa: 0.4014, kb_relative_information_score: 282956.9294, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.4837, predictive_accuracy: 0.5496, prior_entropy: 2.585, recall: 0.5496, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.5, kappa: 0.3862, kb_relative_information_score: 324583.6333, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.4881, predictive_accuracy: 0.5266, prior_entropy: 2.585, recall: 0.5266, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6959, kappa: 0.6406, kb_relative_information_score: 444956.7855, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6913, predictive_accuracy: 0.7241, prior_entropy: 2.585, recall: 0.7241, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.5029, kappa: 0.4559, kb_relative_information_score: 455830.9093, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6478, predictive_accuracy: 0.5829, prior_entropy: 2.585, recall: 0.5829, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.6646, kappa: 0.5958, kb_relative_information_score: 419943.3695, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6462, predictive_accuracy: 0.689, prior_entropy: 2.585, recall: 0.689, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.6918, kappa: 0.6354, kb_relative_information_score: 444270.9258, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6838, predictive_accuracy: 0.7199, prior_entropy: 2.585, recall: 0.7199, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.4289, kappa: 0.3677, kb_relative_information_score: 297006.8052, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.4634, predictive_accuracy: 0.5092, prior_entropy: 2.585, recall: 0.5092, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.6985, kappa: 0.6445, kb_relative_information_score: 445023.8932, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.69, predictive_accuracy: 0.727, prior_entropy: 2.585, recall: 0.727, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0676, kb_relative_information_score: 79790.1015, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.0406, predictive_accuracy: 0.2015, prior_entropy: 2.585, recall: 0.2015, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0676, kb_relative_information_score: 79790.1015, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.0406, predictive_accuracy: 0.2015, prior_entropy: 2.585, recall: 0.2015, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.6856, kappa: 0.6252, kb_relative_information_score: 435371.2392, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6644, predictive_accuracy: 0.7117, prior_entropy: 2.585, recall: 0.7117, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.6974, kappa: 0.6439, kb_relative_information_score: 219238.2192, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6731, predictive_accuracy: 0.7265, prior_entropy: 2.585, recall: 0.7265, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0676, kb_relative_information_score: 79670.4042, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.0406, predictive_accuracy: 0.2015, prior_entropy: 2.585, recall: 0.2015, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.6803, kappa: 0.6206, kb_relative_information_score: 436001.5269, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6646, predictive_accuracy: 0.7079, prior_entropy: 2.585, recall: 0.7079, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.4266, kappa: 0.3678, kb_relative_information_score: 304557.4517, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.3837, predictive_accuracy: 0.5091, prior_entropy: 2.585, recall: 0.5091, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.6934, kappa: 0.6371, kb_relative_information_score: 439143.2799, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6769, predictive_accuracy: 0.7222, prior_entropy: 2.585, recall: 0.7222, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.6856, kappa: 0.6252, kb_relative_information_score: 435371.2392, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6644, predictive_accuracy: 0.7117, prior_entropy: 2.585, recall: 0.7117, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.2983, kappa: 0.2528, kb_relative_information_score: 242813.5721, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.2622, predictive_accuracy: 0.4245, prior_entropy: 2.585, recall: 0.4245, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.438, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.1132, kappa: 0, kb_relative_information_score: 101077.1212, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.1597, predictive_accuracy: 0.2677, prior_entropy: 2.585, recall: 0.2677, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.2139, kappa: 0.0005, kb_relative_information_score: 88858.6518, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.2139, predictive_accuracy: 0.2139, prior_entropy: 2.585, recall: 0.2139, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.5601, kappa: 0.4515, kb_relative_information_score: 324739.8749, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.5693, predictive_accuracy: 0.5806, prior_entropy: 2.585, recall: 0.5806, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.6989, kappa: 0.6445, kb_relative_information_score: 445603.7071, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6957, predictive_accuracy: 0.7271, prior_entropy: 2.585, recall: 0.7271, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0676, kb_relative_information_score: 79790.1015, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.0406, predictive_accuracy: 0.2015, prior_entropy: 2.585, recall: 0.2015, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.6985, kappa: 0.6445, kb_relative_information_score: 445023.8933, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.69, predictive_accuracy: 0.727, prior_entropy: 2.585, recall: 0.727, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.607, kappa: 0.5321, kb_relative_information_score: 335958.8026, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.647, predictive_accuracy: 0.6334, prior_entropy: 2.585, recall: 0.6334, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.6913, kappa: 0.6286, kb_relative_information_score: 425131.0759, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6868, predictive_accuracy: 0.7144, prior_entropy: 2.585, recall: 0.7144, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.25, root_relative_squared_error: 0.6707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.6896, kappa: 0.6311, kb_relative_information_score: 434573.4924, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6882, predictive_accuracy: 0.7167, prior_entropy: 2.585, recall: 0.7167, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.6986, kappa: 0.6447, kb_relative_information_score: 445041.7782, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6958, predictive_accuracy: 0.7272, prior_entropy: 2.585, recall: 0.7272, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.246, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.6986, kappa: 0.6447, kb_relative_information_score: 445041.7782, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6958, predictive_accuracy: 0.7272, prior_entropy: 2.585, recall: 0.7272, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.246, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.6996, kappa: 0.6455, kb_relative_information_score: 448146.2658, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6962, predictive_accuracy: 0.7278, prior_entropy: 2.585, recall: 0.7278, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.6537, kappa: 0.5854, kb_relative_information_score: 397037.1748, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6438, predictive_accuracy: 0.6799, prior_entropy: 2.585, recall: 0.6799, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.6531, kappa: 0.5851, kb_relative_information_score: 396998.4506, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6434, predictive_accuracy: 0.6796, prior_entropy: 2.585, recall: 0.6796, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.6985, kappa: 0.6445, kb_relative_information_score: 445023.8933, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.69, predictive_accuracy: 0.727, prior_entropy: 2.585, recall: 0.727, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.2521, kappa: 0.173, kb_relative_information_score: 198517.4883, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.2328, predictive_accuracy: 0.3639, prior_entropy: 2.585, recall: 0.3639, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.6919, kappa: 0.6355, kb_relative_information_score: 445186.7576, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.2778, number_of_instances: 663552, precision: 0.6808, predictive_accuracy: 0.72, prior_entropy: 2.585, recall: 0.72, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6694,

    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)

    How to submit runs

    Using your favorite machine learning environment

    Download this task directly in your environment and automatically upload your results

    OpenML bootcamp

    From your own software

    Use one of our APIs to download data from OpenML and upload your results

    OpenML APIs