Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

20384 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9166, kappa: 0.8739, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9168, predictive_accuracy: 0.9168, prior_entropy: 1.7146, recall: 0.9168, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7983, kappa: 0.6661, kb_relative_information_score: 0.6888, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8732, predictive_accuracy: 0.7621, prior_entropy: 1.7146, recall: 0.7621, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.912, kappa: 0.8669, kb_relative_information_score: 0.8758, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9122, predictive_accuracy: 0.9122, prior_entropy: 1.7146, recall: 0.9122, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8771, kappa: 0.8148, kb_relative_information_score: 0.8286, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8787, predictive_accuracy: 0.8768, prior_entropy: 1.7146, recall: 0.8768, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8881, kappa: 0.8308, kb_relative_information_score: 0.841, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 1.7146, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8883, kappa: 0.8309, kb_relative_information_score: 0.8406, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.892, kappa: 0.8366, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8662, kappa: 0.7991, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8697, predictive_accuracy: 0.8653, prior_entropy: 1.7146, recall: 0.8653, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8918, kappa: 0.8364, kb_relative_information_score: 0.8458, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8923, predictive_accuracy: 0.8924, prior_entropy: 1.7146, recall: 0.8924, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9133, kappa: 0.8692, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8699, kappa: 0.8038, kb_relative_information_score: 0.8199, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8733, predictive_accuracy: 0.8688, prior_entropy: 1.7146, recall: 0.8688, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7769, kappa: 0.6545, kb_relative_information_score: 0.686, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8372, predictive_accuracy: 0.7538, prior_entropy: 1.7146, recall: 0.7538, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8886, kappa: 0.8315, kb_relative_information_score: 0.8423, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.889, predictive_accuracy: 0.8891, prior_entropy: 1.7146, recall: 0.8891, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9137, kappa: 0.8696, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8369, kappa: 0.7493, kb_relative_information_score: 0.7727, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8608, predictive_accuracy: 0.8279, prior_entropy: 1.7146, recall: 0.8279, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9096, kappa: 0.8633, kb_relative_information_score: 0.872, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9097, predictive_accuracy: 0.9098, prior_entropy: 1.7146, recall: 0.9098, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9135, kappa: 0.8692, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8905, kappa: 0.8342, kb_relative_information_score: 0.8436, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 1.7146, recall: 0.8909, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.879, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8768, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9132, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.91, kappa: 0.8641, kb_relative_information_score: 0.8732, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9101, predictive_accuracy: 0.9102, prior_entropy: 1.7146, recall: 0.9102, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9148, kappa: 0.8712, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8428, kappa: 0.7593, kb_relative_information_score: 0.7812, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8597, predictive_accuracy: 0.8363, prior_entropy: 1.7146, recall: 0.8363, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9127, kappa: 0.8681, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8928, kappa: 0.8378, kb_relative_information_score: 0.848, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8932, predictive_accuracy: 0.8933, prior_entropy: 1.7146, recall: 0.8933, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9104, kappa: 0.8646, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9107, predictive_accuracy: 0.9107, prior_entropy: 1.7146, recall: 0.9107, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.88, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9111, kappa: 0.8656, kb_relative_information_score: 0.8746, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9112, predictive_accuracy: 0.9113, prior_entropy: 1.7146, recall: 0.9113, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.5175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8926, kappa: 0.8375, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 1.7146, recall: 0.8931, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9122, kappa: 0.8674, kb_relative_information_score: 0.877, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9125, kappa: 0.8677, kb_relative_information_score: 0.8759, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9128, predictive_accuracy: 0.9128, prior_entropy: 1.7146, recall: 0.9128, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8899, kappa: 0.8333, kb_relative_information_score: 0.8427, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8908, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8849, kappa: 0.8263, kb_relative_information_score: 0.8365, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8851, predictive_accuracy: 0.8856, prior_entropy: 1.7146, recall: 0.8856, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8892, kappa: 0.8326, kb_relative_information_score: 0.8415, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8894, kappa: 0.8327, kb_relative_information_score: 0.8438, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 1.7146, recall: 0.8898, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8844, kappa: 0.8262, kb_relative_information_score: 0.8409, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8848, predictive_accuracy: 0.8845, prior_entropy: 1.7146, recall: 0.8845, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8906, kappa: 0.8344, kb_relative_information_score: 0.8439, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8922, kappa: 0.8368, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8885, kappa: 0.8312, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8892, predictive_accuracy: 0.8891, prior_entropy: 1.7146, recall: 0.8891, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8589, kappa: 0.7871, kb_relative_information_score: 0.8057, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8649, predictive_accuracy: 0.857, prior_entropy: 1.7146, recall: 0.857, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8914, kappa: 0.8357, kb_relative_information_score: 0.8462, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.8919, prior_entropy: 1.7146, recall: 0.8919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9118, kappa: 0.8667, kb_relative_information_score: 0.8748, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 1.7146, recall: 0.912, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9151, kappa: 0.8717, kb_relative_information_score: 0.88, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9154, predictive_accuracy: 0.9153, prior_entropy: 1.7146, recall: 0.9153, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8227, kappa: 0.7244, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8509, predictive_accuracy: 0.8105, prior_entropy: 1.7146, recall: 0.8105, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.845, kappa: 0.7527, kb_relative_information_score: 0.7718, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8782, predictive_accuracy: 0.8299, prior_entropy: 1.7146, recall: 0.8299, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9154, kappa: 0.872, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9154, predictive_accuracy: 0.9155, prior_entropy: 1.7146, recall: 0.9155, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9157, kappa: 0.8727, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9157, predictive_accuracy: 0.9159, prior_entropy: 1.7146, recall: 0.9159, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8874, kappa: 0.8299, kb_relative_information_score: 0.8427, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8873, predictive_accuracy: 0.8876, prior_entropy: 1.7146, recall: 0.8876, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.721, kappa: 0.5441, kb_relative_information_score: 0.5582, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8395, predictive_accuracy: 0.6653, prior_entropy: 1.7146, recall: 0.6653, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9115, kappa: 0.8662, kb_relative_information_score: 0.875, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8491, kappa: 0.7577, kb_relative_information_score: 0.7752, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.883, predictive_accuracy: 0.8334, prior_entropy: 1.7146, recall: 0.8334, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9131, kappa: 0.8688, kb_relative_information_score: 0.8779, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.914, kappa: 0.8702, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8901, kappa: 0.8339, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8903, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8263, kappa: 0.7269, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8564, predictive_accuracy: 0.8132, prior_entropy: 1.7146, recall: 0.8132, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9133, kappa: 0.8689, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9144, kappa: 0.8705, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8201, kappa: 0.7212, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8472, predictive_accuracy: 0.8083, prior_entropy: 1.7146, recall: 0.8083, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8903, kappa: 0.8339, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8907, predictive_accuracy: 0.8908, prior_entropy: 1.7146, recall: 0.8908, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8913, kappa: 0.8356, kb_relative_information_score: 0.8451, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.8919, prior_entropy: 1.7146, recall: 0.8919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9131, kappa: 0.8686, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8902, kappa: 0.8337, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8909, predictive_accuracy: 0.8908, prior_entropy: 1.7146, recall: 0.8908, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.833, kappa: 0.7407, kb_relative_information_score: 0.7608, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8572, predictive_accuracy: 0.8228, prior_entropy: 1.7146, recall: 0.8228, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9127, kappa: 0.868, kb_relative_information_score: 0.876, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9133, kappa: 0.8689, kb_relative_information_score: 0.877, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.9153, kappa: 0.8721, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9154, predictive_accuracy: 0.9155, prior_entropy: 1.7146, recall: 0.9155, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8184, kappa: 0.7164, kb_relative_information_score: 0.7385, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8515, predictive_accuracy: 0.8043, prior_entropy: 1.7146, recall: 0.8043, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8729, kappa: 0.809, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8744, predictive_accuracy: 0.8726, prior_entropy: 1.7146, recall: 0.8726, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8858, kappa: 0.8278, kb_relative_information_score: 0.8396, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8858, predictive_accuracy: 0.8864, prior_entropy: 1.7146, recall: 0.8864, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8729, kappa: 0.809, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8744, predictive_accuracy: 0.8726, prior_entropy: 1.7146, recall: 0.8726, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9168, kappa: 0.8743, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 1.7146, recall: 0.917, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8921, kappa: 0.8367, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9127, kappa: 0.8681, kb_relative_information_score: 0.8768, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8885, kappa: 0.8313, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9076, kappa: 0.8603, kb_relative_information_score: 0.8695, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 1.7146, recall: 0.9078, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.915, kappa: 0.8715, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7146, recall: 0.9151, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9133, kappa: 0.8688, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9085, kappa: 0.8617, kb_relative_information_score: 0.871, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9086, predictive_accuracy: 0.9087, prior_entropy: 1.7146, recall: 0.9087, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9146, kappa: 0.8709, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9135, kappa: 0.8691, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9137, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8771, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9164, kappa: 0.8738, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 1.7146, recall: 0.9166, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8895, kappa: 0.8327, kb_relative_information_score: 0.8422, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 1.7146, recall: 0.89, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9126, kappa: 0.868, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9127, predictive_accuracy: 0.9128, prior_entropy: 1.7146, recall: 0.9128, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9143, kappa: 0.8704, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.914, kappa: 0.87, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9142, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8936, kappa: 0.8391, kb_relative_information_score: 0.8492, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8939, predictive_accuracy: 0.8941, prior_entropy: 1.7146, recall: 0.8941, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9146, kappa: 0.871, kb_relative_information_score: 0.88, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9148, kappa: 0.8712, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.915, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9138, kappa: 0.8697, kb_relative_information_score: 0.8779, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 1.7146, recall: 0.914, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8878, kappa: 0.8305, kb_relative_information_score: 0.8415, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8878, predictive_accuracy: 0.8882, prior_entropy: 1.7146, recall: 0.8882, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8905, kappa: 0.8348, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, predictive_accuracy: 0.8908, prior_entropy: 1.7146, recall: 0.8908, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5743,

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

OpenML bootcamp

From your own software

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

OpenML APIs