Task
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 9868 runs submitted
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  • OpenML100 study_107 study_123 study_14
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9868 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8409, kappa: 0.8052, kb_relative_information_score: 2273.2262, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8428, predictive_accuracy: 0.8405, prior_entropy: 2.5207, recall: 0.8405, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8806, kappa: 0.8529, kb_relative_information_score: 2390.8599, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8828, predictive_accuracy: 0.8795, prior_entropy: 2.5207, recall: 0.8795, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8532, kappa: 0.82, kb_relative_information_score: 2312.6162, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8788, kappa: 0.8507, kb_relative_information_score: 2393.9843, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8811, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9626, kappa: 0.9542, kb_relative_information_score: 2674.6403, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9629, predictive_accuracy: 0.9624, prior_entropy: 2.5207, recall: 0.9624, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9551, kappa: 0.945, kb_relative_information_score: 2640.6674, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9555, predictive_accuracy: 0.9549, prior_entropy: 2.5207, recall: 0.9549, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9079, kappa: 0.8875, kb_relative_information_score: 2484.9668, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9085, predictive_accuracy: 0.9081, prior_entropy: 2.5207, recall: 0.9081, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9449, kappa: 0.9327, kb_relative_information_score: 2622.7636, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 2.5207, recall: 0.9449, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8919, kappa: 0.8684, kb_relative_information_score: 2462.4259, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8916, predictive_accuracy: 0.8923, prior_entropy: 2.5207, recall: 0.8923, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9102, kappa: 0.8904, kb_relative_information_score: 2493.8871, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9106, predictive_accuracy: 0.9102, prior_entropy: 2.5207, recall: 0.9102, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8539, kappa: 0.82, kb_relative_information_score: 2310.9608, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8562, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8605, kappa: 0.8275, kb_relative_information_score: 2308.3294, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8643, predictive_accuracy: 0.8587, prior_entropy: 2.5207, recall: 0.8587, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9445, kappa: 0.9322, kb_relative_information_score: 2615.9519, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9445, predictive_accuracy: 0.9446, prior_entropy: 2.5207, recall: 0.9446, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.894, kappa: 0.8706, kb_relative_information_score: 2450.454, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 2.5207, recall: 0.8941, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9049, kappa: 0.883, kb_relative_information_score: 2484.726, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.906, predictive_accuracy: 0.9041, prior_entropy: 2.5207, recall: 0.9041, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8968, kappa: 0.873, kb_relative_information_score: 2438.6081, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8986, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8903, kappa: 0.8655, kb_relative_information_score: 2424.6331, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8911, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9542, kappa: 0.9441, kb_relative_information_score: 2648.1233, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 2.5207, recall: 0.9542, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9175, kappa: 0.8987, kb_relative_information_score: 2513.112, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9189, predictive_accuracy: 0.917, prior_entropy: 2.5207, recall: 0.917, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9526, kappa: 0.9419, kb_relative_information_score: 2634.6971, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 2.5207, recall: 0.9524, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9251, kappa: 0.9083, kb_relative_information_score: 2539.7063, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9258, predictive_accuracy: 0.9249, prior_entropy: 2.5207, recall: 0.9249, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9193, kappa: 0.9016, kb_relative_information_score: 2539.1957, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 2.5207, recall: 0.9195, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8592, kappa: 0.8279, kb_relative_information_score: 2352.4345, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8597, predictive_accuracy: 0.8591, prior_entropy: 2.5207, recall: 0.8591, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9335, kappa: 0.9187, kb_relative_information_score: 2596.2149, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9339, predictive_accuracy: 0.9335, prior_entropy: 2.5207, recall: 0.9335, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2480.1697, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9071, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9572, kappa: 0.9476, kb_relative_information_score: 2652.5118, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 2.5207, recall: 0.9571, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9029, kappa: 0.8815, kb_relative_information_score: 2477.7546, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9034, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8783, kappa: 0.8506, kb_relative_information_score: 2375.2802, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8794, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9515, kappa: 0.9406, kb_relative_information_score: 2642.0779, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 2.5207, recall: 0.9514, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8605, kappa: 0.8275, kb_relative_information_score: 2308.8599, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8643, predictive_accuracy: 0.8587, prior_entropy: 2.5207, recall: 0.8587, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8667, kappa: 0.8361, kb_relative_information_score: 2345.2765, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8689, predictive_accuracy: 0.8659, prior_entropy: 2.5207, recall: 0.8659, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9283, kappa: 0.9122, kb_relative_information_score: 2566.4197, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.929, predictive_accuracy: 0.9281, prior_entropy: 2.5207, recall: 0.9281, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8969, kappa: 0.873, kb_relative_information_score: 2438.5573, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8988, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9278, kappa: 0.9118, kb_relative_information_score: 2569.6323, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9281, predictive_accuracy: 0.9278, prior_entropy: 2.5207, recall: 0.9278, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.951, kappa: 0.9402, kb_relative_information_score: 2628.4471, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9512, predictive_accuracy: 0.951, prior_entropy: 2.5207, recall: 0.951, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9293, kappa: 0.9135, kb_relative_information_score: 2569.5654, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9297, predictive_accuracy: 0.9292, prior_entropy: 2.5207, recall: 0.9292, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8473, kappa: 0.8129, kb_relative_information_score: 2280.7024, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8482, predictive_accuracy: 0.8469, prior_entropy: 2.5207, recall: 0.8469, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.935, kappa: 0.9205, kb_relative_information_score: 2587.0834, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9352, predictive_accuracy: 0.9349, prior_entropy: 2.5207, recall: 0.9349, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9106, kappa: 0.8908, kb_relative_information_score: 2495.4791, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9109, predictive_accuracy: 0.9106, prior_entropy: 2.5207, recall: 0.9106, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.954, kappa: 0.9437, kb_relative_information_score: 2638.1587, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9542, predictive_accuracy: 0.9539, prior_entropy: 2.5207, recall: 0.9539, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8709, kappa: 0.8415, kb_relative_information_score: 2357.1983, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8729, predictive_accuracy: 0.8702, prior_entropy: 2.5207, recall: 0.8702, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8903, kappa: 0.8655, kb_relative_information_score: 2423.8204, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.891, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2480.5422, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9071, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9073, kappa: 0.8865, kb_relative_information_score: 2487.8613, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9081, predictive_accuracy: 0.907, prior_entropy: 2.5207, recall: 0.907, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.888, kappa: 0.8633, kb_relative_information_score: 2428.5446, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8883, predictive_accuracy: 0.8881, prior_entropy: 2.5207, recall: 0.8881, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.157, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8283, kappa: 0.7892, kb_relative_information_score: 2221.2951, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8304, predictive_accuracy: 0.8273, prior_entropy: 2.5207, recall: 0.8273, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9349, kappa: 0.9205, kb_relative_information_score: 2577.5216, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9353, predictive_accuracy: 0.9349, prior_entropy: 2.5207, recall: 0.9349, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9102, kappa: 0.8904, kb_relative_information_score: 2493.982, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9106, predictive_accuracy: 0.9102, prior_entropy: 2.5207, recall: 0.9102, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9612, kappa: 0.9524, kb_relative_information_score: 2671.6734, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 2.5207, recall: 0.961, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8853, kappa: 0.859, kb_relative_information_score: 2390.2102, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8872, predictive_accuracy: 0.8845, prior_entropy: 2.5207, recall: 0.8845, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.92, kappa: 0.9025, kb_relative_information_score: 2539.021, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 2.5207, recall: 0.9202, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8472, kappa: 0.8122, kb_relative_information_score: 2278.3137, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8492, predictive_accuracy: 0.8462, prior_entropy: 2.5207, recall: 0.8462, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9301, kappa: 0.9144, kb_relative_information_score: 2572.5007, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9306, predictive_accuracy: 0.9299, prior_entropy: 2.5207, recall: 0.9299, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8859, kappa: 0.8599, kb_relative_information_score: 2390.8667, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8877, predictive_accuracy: 0.8852, prior_entropy: 2.5207, recall: 0.8852, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9244, kappa: 0.9078, kb_relative_information_score: 2553.8033, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9244, predictive_accuracy: 0.9245, prior_entropy: 2.5207, recall: 0.9245, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9164, kappa: 0.8974, kb_relative_information_score: 2511.0401, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9176, predictive_accuracy: 0.916, prior_entropy: 2.5207, recall: 0.916, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9368, kappa: 0.9227, kb_relative_information_score: 2587.5691, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 2.5207, recall: 0.9367, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8667, kappa: 0.8361, kb_relative_information_score: 2345.2765, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8689, predictive_accuracy: 0.8659, prior_entropy: 2.5207, recall: 0.8659, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9274, kappa: 0.9113, kb_relative_information_score: 2557.7178, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9277, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9204, kappa: 0.9029, kb_relative_information_score: 2539.8519, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9206, predictive_accuracy: 0.9206, prior_entropy: 2.5207, recall: 0.9206, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.139, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9193, kappa: 0.9013, kb_relative_information_score: 2520.7291, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9196, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8564, kappa: 0.8243, kb_relative_information_score: 2322.9503, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8571, predictive_accuracy: 0.8562, prior_entropy: 2.5207, recall: 0.8562, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9654, kappa: 0.9576, kb_relative_information_score: 2680.366, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 2.5207, recall: 0.9653, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.894, kappa: 0.8706, kb_relative_information_score: 2450.9216, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 2.5207, recall: 0.8941, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9052, kappa: 0.8835, kb_relative_information_score: 2485.5022, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8405, kappa: 0.8043, kb_relative_information_score: 2249.3812, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8419, predictive_accuracy: 0.8398, prior_entropy: 2.5207, recall: 0.8398, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8415, kappa: 0.804, kb_relative_information_score: 2274.0013, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8466, predictive_accuracy: 0.8394, prior_entropy: 2.5207, recall: 0.8394, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8909, kappa: 0.866, kb_relative_information_score: 2404.544, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8919, predictive_accuracy: 0.8902, prior_entropy: 2.5207, recall: 0.8902, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8869, kappa: 0.8614, kb_relative_information_score: 2417.514, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8881, predictive_accuracy: 0.8866, prior_entropy: 2.5207, recall: 0.8866, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9275, kappa: 0.9113, kb_relative_information_score: 2566.7451, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9278, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.139, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9224, kappa: 0.9052, kb_relative_information_score: 2540.7627, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 2.5207, recall: 0.9224, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8514, kappa: 0.8179, kb_relative_information_score: 2311.3374, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8525, predictive_accuracy: 0.8509, prior_entropy: 2.5207, recall: 0.8509, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8409, kappa: 0.8052, kb_relative_information_score: 2273.2262, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8428, predictive_accuracy: 0.8405, prior_entropy: 2.5207, recall: 0.8405, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8797, kappa: 0.8519, kb_relative_information_score: 2372.4293, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8826, predictive_accuracy: 0.8788, prior_entropy: 2.5207, recall: 0.8788, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8877, kappa: 0.8623, kb_relative_information_score: 2437.5807, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8887, predictive_accuracy: 0.8873, prior_entropy: 2.5207, recall: 0.8873, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8535, kappa: 0.8201, kb_relative_information_score: 2303.7886, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8551, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8996, kappa: 0.8769, kb_relative_information_score: 2442.8816, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9005, predictive_accuracy: 0.8991, prior_entropy: 2.5207, recall: 0.8991, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8869, kappa: 0.8619, kb_relative_information_score: 2427.2845, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8872, predictive_accuracy: 0.887, prior_entropy: 2.5207, recall: 0.887, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2535.8509, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2289.3874, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8781, kappa: 0.8499, kb_relative_information_score: 2393.6148, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8804, predictive_accuracy: 0.877, prior_entropy: 2.5207, recall: 0.877, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2485.1598, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9065, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9497, kappa: 0.9384, kb_relative_information_score: 2623.4246, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9501, predictive_accuracy: 0.9496, prior_entropy: 2.5207, recall: 0.9496, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8712, kappa: 0.8419, kb_relative_information_score: 2357.4953, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8731, predictive_accuracy: 0.8705, prior_entropy: 2.5207, recall: 0.8705, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8857, kappa: 0.8602, kb_relative_information_score: 2406.7097, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8283, kappa: 0.7891, kb_relative_information_score: 2221.0572, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8304, predictive_accuracy: 0.8273, prior_entropy: 2.5207, recall: 0.8273, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9191, kappa: 0.9012, kb_relative_information_score: 2530.7023, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9194, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9155, kappa: 0.8972, kb_relative_information_score: 2530.5602, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9157, predictive_accuracy: 0.916, prior_entropy: 2.5207, recall: 0.916, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9256, kappa: 0.9087, kb_relative_information_score: 2544.3604, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9263, predictive_accuracy: 0.9253, prior_entropy: 2.5207, recall: 0.9253, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9374, kappa: 0.9235, kb_relative_information_score: 2581.2702, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9379, predictive_accuracy: 0.9374, prior_entropy: 2.5207, recall: 0.9374, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9331, kappa: 0.9183, kb_relative_information_score: 2587.2483, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9335, predictive_accuracy: 0.9331, prior_entropy: 2.5207, recall: 0.9331, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9707, kappa: 0.9642, kb_relative_information_score: 2700.1406, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 2.5207, recall: 0.9707, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.099, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9262, kappa: 0.91, kb_relative_information_score: 2559.551, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 2.5207, recall: 0.9263, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.927, kappa: 0.9109, kb_relative_information_score: 2548.0426, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9273, predictive_accuracy: 0.927, prior_entropy: 2.5207, recall: 0.927, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8968, kappa: 0.873, kb_relative_information_score: 2438.3165, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8986, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9054, kappa: 0.8839, kb_relative_information_score: 2487.4057, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9062, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3939,

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