OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24423 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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24423 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.6046, kappa: 0.5606, kb_relative_information_score: 0.5864, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6096, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9621, kappa: 0.9578, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.0107, kappa: -0.1006, kb_relative_information_score: -0.0358, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0124, predictive_accuracy: 0.0095, prior_entropy: 3.3219, recall: 0.0095, relative_absolute_error: 1.1006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9586, kappa: 0.9539, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.959, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9593, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9161, kappa: 0.9067, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.917, predictive_accuracy: 0.916, prior_entropy: 3.3219, recall: 0.916, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9547, kappa: 0.9494, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9621, kappa: 0.9578, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9557, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9768, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9557, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9403, kappa: 0.9311, kb_relative_information_score: 0.9352, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9488, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8701, kappa: 0.8539, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8857, predictive_accuracy: 0.8685, prior_entropy: 3.3219, recall: 0.8685, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6595, kappa: 0.5394, kb_relative_information_score: 0.5665, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9176, predictive_accuracy: 0.5855, prior_entropy: 3.3219, recall: 0.5855, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9087, kappa: 0.8872, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9389, predictive_accuracy: 0.8985, prior_entropy: 3.3219, recall: 0.8985, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.965, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.3758, kappa: 0.2589, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9114, predictive_accuracy: 0.333, prior_entropy: 3.3219, recall: 0.333, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.965, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0899, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.3126, kappa: 0.2067, kb_relative_information_score: 0.2533, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.286, prior_entropy: 3.3219, recall: 0.286, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8143, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.1132, kappa: 0.0733, kb_relative_information_score: 0.1278, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6085, predictive_accuracy: 0.166, prior_entropy: 3.3219, recall: 0.166, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.1964, kappa: 0.1189, kb_relative_information_score: 0.1707, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.207, prior_entropy: 3.3219, recall: 0.207, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.3299, kappa: 0.2211, kb_relative_information_score: 0.2669, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9106, predictive_accuracy: 0.299, prior_entropy: 3.3219, recall: 0.299, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9556, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9561, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.1964, kappa: 0.1189, kb_relative_information_score: 0.1707, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.207, prior_entropy: 3.3219, recall: 0.207, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.0791, kappa: 0.0356, kb_relative_information_score: 0.0923, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.132, prior_entropy: 3.3219, recall: 0.132, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.0714, kappa: 0.0306, kb_relative_information_score: 0.0876, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1275, prior_entropy: 3.3219, recall: 0.1275, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.0873, kappa: 0.0411, kb_relative_information_score: 0.0975, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.137, prior_entropy: 3.3219, recall: 0.137, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9591, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9546, kappa: 0.9494, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.977, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.234, kappa: 0.1472, kb_relative_information_score: 0.1974, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9115, predictive_accuracy: 0.2325, prior_entropy: 3.3219, recall: 0.2325, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.966, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9258, kappa: 0.9178, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.926, prior_entropy: 3.3219, recall: 0.926, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9111, kappa: 0.9017, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9128, predictive_accuracy: 0.9115, prior_entropy: 3.3219, recall: 0.9115, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9335, kappa: 0.9261, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9348, predictive_accuracy: 0.9335, prior_entropy: 3.3219, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9356, kappa: 0.9283, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9369, predictive_accuracy: 0.9355, prior_entropy: 3.3219, recall: 0.9355, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9651, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9676, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9707, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9717, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9509, kappa: 0.9456, kb_relative_information_score: 0.9488, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9516, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8709, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9535, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9542, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1513, kappa: 0.0861, kb_relative_information_score: 0.1399, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9108, predictive_accuracy: 0.1775, prior_entropy: 3.3219, recall: 0.1775, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.965, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.2104, kappa: 0.1289, kb_relative_information_score: 0.1801, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.216, prior_entropy: 3.3219, recall: 0.216, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.396, root_relative_squared_error: 1.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9111, kappa: 0.8956, kb_relative_information_score: 0.9017, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9274, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9686, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9693, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9746, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9673, kappa: 0.9633, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9686, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8763, kappa: 0.8628, kb_relative_information_score: 0.8708, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8832, predictive_accuracy: 0.8765, prior_entropy: 3.3219, recall: 0.8765, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9515, kappa: 0.9461, kb_relative_information_score: 0.9493, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9521, predictive_accuracy: 0.9515, prior_entropy: 3.3219, recall: 0.9515, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.1398, kappa: 0.0772, kb_relative_information_score: 0.1315, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9107, predictive_accuracy: 0.1695, prior_entropy: 3.3219, recall: 0.1695, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9541, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9028, kappa: 0.8928, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9063, predictive_accuracy: 0.9035, prior_entropy: 3.3219, recall: 0.9035, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9368, kappa: 0.925, kb_relative_information_score: 0.9294, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9503, predictive_accuracy: 0.9325, prior_entropy: 3.3219, recall: 0.9325, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9542, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8779, kappa: 0.8644, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8847, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,

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

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (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

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From your own software

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

OpenML APIs