OpenML
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: 0.9326, f_measure: 0.9128, kappa: 0.8682, kb_relative_information_score: 0.8777, 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: 0.9328, f_measure: 0.9131, kappa: 0.8686, kb_relative_information_score: 0.8766, 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: 0.9111, f_measure: 0.8813, kappa: 0.8214, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 1.7146, recall: 0.8816, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8295, kappa: 0.7333, kb_relative_information_score: 0.7542, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8582, predictive_accuracy: 0.8169, prior_entropy: 1.7146, recall: 0.8169, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8883, kappa: 0.8308, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, 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: 0.9151, f_measure: 0.8906, kappa: 0.8346, kb_relative_information_score: 0.8452, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8909, 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: 0.9172, f_measure: 0.8937, kappa: 0.8391, kb_relative_information_score: 0.8479, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7146, recall: 0.8942, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8762, 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: 0.9149, f_measure: 0.8907, kappa: 0.8347, kb_relative_information_score: 0.8442, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8912, predictive_accuracy: 0.8913, prior_entropy: 1.7146, recall: 0.8913, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7883, kappa: 0.6612, kb_relative_information_score: 0.6849, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8469, predictive_accuracy: 0.7608, prior_entropy: 1.7146, recall: 0.7608, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9106, kappa: 0.8649, kb_relative_information_score: 0.8741, 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: 0.8664, f_measure: 0.8045, kappa: 0.6986, kb_relative_information_score: 0.728, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8478, predictive_accuracy: 0.7887, prior_entropy: 1.7146, recall: 0.7887, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9129, kappa: 0.8685, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9131, predictive_accuracy: 0.9131, prior_entropy: 1.7146, recall: 0.9131, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8334, kappa: 0.7403, kb_relative_information_score: 0.7587, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.858, predictive_accuracy: 0.8229, prior_entropy: 1.7146, recall: 0.8229, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9122, kappa: 0.8674, kb_relative_information_score: 0.8767, 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: 0.9163, f_measure: 0.8906, kappa: 0.8349, kb_relative_information_score: 0.8468, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, 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: 0.9154, f_measure: 0.8914, kappa: 0.8357, kb_relative_information_score: 0.8445, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 1.7146, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9113, kappa: 0.8658, kb_relative_information_score: 0.8743, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9115, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8878, kappa: 0.8301, kb_relative_information_score: 0.8396, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8884, predictive_accuracy: 0.8884, prior_entropy: 1.7146, recall: 0.8884, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5805,
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: 0.9168, f_measure: 0.8935, kappa: 0.8388, kb_relative_information_score: 0.8481, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8942, 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: 0.916, f_measure: 0.8917, kappa: 0.8363, kb_relative_information_score: 0.8465, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.892, predictive_accuracy: 0.8922, prior_entropy: 1.7146, recall: 0.8922, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8482, kappa: 0.7563, kb_relative_information_score: 0.774, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8827, predictive_accuracy: 0.8323, prior_entropy: 1.7146, recall: 0.8323, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9147, kappa: 0.8711, kb_relative_information_score: 0.8789, 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: 0.932, f_measure: 0.9119, kappa: 0.8668, kb_relative_information_score: 0.8767, 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: 0.8351, f_measure: 0.7662, kappa: 0.621, kb_relative_information_score: 0.6415, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.844, predictive_accuracy: 0.7287, prior_entropy: 1.7146, recall: 0.7287, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8916, kappa: 0.8362, kb_relative_information_score: 0.8465, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.892, prior_entropy: 1.7146, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.892, kappa: 0.8366, kb_relative_information_score: 0.846, 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: 0.9146, f_measure: 0.8901, kappa: 0.8337, kb_relative_information_score: 0.8436, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8904, 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: 0.934, f_measure: 0.9149, kappa: 0.8714, kb_relative_information_score: 0.8797, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9151, 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: 0.9328, 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: 0.9145, f_measure: 0.8904, kappa: 0.8341, kb_relative_information_score: 0.8433, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.891, 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: 0.9357, 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: 0.9352, f_measure: 0.9166, kappa: 0.8738, kb_relative_information_score: 0.8816, 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: 0.8342, f_measure: 0.7659, kappa: 0.6219, kb_relative_information_score: 0.6444, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8424, predictive_accuracy: 0.7298, prior_entropy: 1.7146, recall: 0.7298, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8776, 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: 0.8748, f_measure: 0.8194, kappa: 0.7193, kb_relative_information_score: 0.7457, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8542, predictive_accuracy: 0.805, prior_entropy: 1.7146, recall: 0.805, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8209, kappa: 0.7194, kb_relative_information_score: 0.7402, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8536, predictive_accuracy: 0.8072, prior_entropy: 1.7146, recall: 0.8072, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9149, kappa: 0.8714, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9151, 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: 0.9333, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8784, 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: 0.9129, f_measure: 0.8853, kappa: 0.8272, kb_relative_information_score: 0.8391, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8853, predictive_accuracy: 0.8858, prior_entropy: 1.7146, recall: 0.8858, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8455, kappa: 0.7521, kb_relative_information_score: 0.77, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8806, predictive_accuracy: 0.8294, prior_entropy: 1.7146, recall: 0.8294, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.7178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8926, kappa: 0.8375, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.893, 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: 0.9138, f_measure: 0.8894, kappa: 0.8327, kb_relative_information_score: 0.8427, 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: 0.9164, f_measure: 0.8924, kappa: 0.8371, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8927, predictive_accuracy: 0.8928, prior_entropy: 1.7146, recall: 0.8928, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8459, kappa: 0.7531, kb_relative_information_score: 0.7708, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8799, predictive_accuracy: 0.8303, prior_entropy: 1.7146, recall: 0.8303, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8195, kappa: 0.7198, kb_relative_information_score: 0.7456, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8518, predictive_accuracy: 0.8061, prior_entropy: 1.7146, recall: 0.8061, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8407, kappa: 0.7544, kb_relative_information_score: 0.7749, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8594, predictive_accuracy: 0.8332, prior_entropy: 1.7146, recall: 0.8332, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7439, kappa: 0.5844, kb_relative_information_score: 0.6052, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8418, predictive_accuracy: 0.6979, prior_entropy: 1.7146, recall: 0.6979, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9151, kappa: 0.8718, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9153, 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: 0.8598, f_measure: 0.7993, kappa: 0.6797, kb_relative_information_score: 0.7039, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8534, predictive_accuracy: 0.7746, prior_entropy: 1.7146, recall: 0.7746, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9124, kappa: 0.8676, kb_relative_information_score: 0.8763, 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: 0.9322, f_measure: 0.912, kappa: 0.8671, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, 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: 0.9336, f_measure: 0.914, kappa: 0.8701, 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: 0.9317, f_measure: 0.9118, kappa: 0.8666, kb_relative_information_score: 0.8751, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9119, 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: 0.9325, f_measure: 0.9129, kappa: 0.8684, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9132, predictive_accuracy: 0.9131, prior_entropy: 1.7146, recall: 0.9131, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9116, kappa: 0.8664, kb_relative_information_score: 0.8753, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8868, kappa: 0.8292, kb_relative_information_score: 0.8413, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8867, predictive_accuracy: 0.8873, prior_entropy: 1.7146, recall: 0.8873, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8494, kappa: 0.7702, kb_relative_information_score: 0.7875, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8618, predictive_accuracy: 0.8449, prior_entropy: 1.7146, recall: 0.8449, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7903, kappa: 0.6744, kb_relative_information_score: 0.7037, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8459, predictive_accuracy: 0.7696, prior_entropy: 1.7146, recall: 0.7696, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8772, kappa: 0.8158, kb_relative_information_score: 0.8328, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8788, predictive_accuracy: 0.877, prior_entropy: 1.7146, recall: 0.877, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.248, root_relative_squared_error: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7984, kappa: 0.6782, kb_relative_information_score: 0.7016, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8503, predictive_accuracy: 0.7742, prior_entropy: 1.7146, recall: 0.7742, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, 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: 0.8888, f_measure: 0.8428, kappa: 0.7488, kb_relative_information_score: 0.768, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8773, predictive_accuracy: 0.8272, prior_entropy: 1.7146, recall: 0.8272, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.294, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9144, kappa: 0.8707, kb_relative_information_score: 0.8797, 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: 0.9347, f_measure: 0.9157, kappa: 0.8725, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9158, 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: 0.8908, f_measure: 0.8466, kappa: 0.7648, kb_relative_information_score: 0.7852, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8625, predictive_accuracy: 0.8404, prior_entropy: 1.7146, recall: 0.8404, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8906, kappa: 0.8345, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8915, predictive_accuracy: 0.8913, prior_entropy: 1.7146, recall: 0.8913, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.914, kappa: 0.87, kb_relative_information_score: 0.8783, 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: 0.8925, f_measure: 0.8477, kappa: 0.7565, kb_relative_information_score: 0.7756, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8809, predictive_accuracy: 0.8325, prior_entropy: 1.7146, recall: 0.8325, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9136, kappa: 0.8695, kb_relative_information_score: 0.878, 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: 0.931, f_measure: 0.9106, kappa: 0.8648, kb_relative_information_score: 0.8739, 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: 0.9138, f_measure: 0.8883, kappa: 0.8313, kb_relative_information_score: 0.8419, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, 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: 0.9335, f_measure: 0.9141, kappa: 0.8701, kb_relative_information_score: 0.88, 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: 0.914, f_measure: 0.8893, kappa: 0.8326, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8897, 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: 0.9299, f_measure: 0.9094, kappa: 0.8631, kb_relative_information_score: 0.8721, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 1.7146, recall: 0.9096, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.884, kappa: 0.8254, kb_relative_information_score: 0.8394, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.884, predictive_accuracy: 0.8843, prior_entropy: 1.7146, recall: 0.8843, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9164, kappa: 0.8737, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9167, 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: 0.9163, f_measure: 0.8921, kappa: 0.8368, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, 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: 0.9337, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8791, 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: 0.8349, f_measure: 0.7669, kappa: 0.6216, kb_relative_information_score: 0.6411, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8438, predictive_accuracy: 0.7298, prior_entropy: 1.7146, recall: 0.7298, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8359, kappa: 0.7469, kb_relative_information_score: 0.7679, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8558, predictive_accuracy: 0.8273, prior_entropy: 1.7146, recall: 0.8273, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8912, kappa: 0.8354, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8918, 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: 0.935, f_measure: 0.9162, kappa: 0.8734, kb_relative_information_score: 0.882, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9164, predictive_accuracy: 0.9164, prior_entropy: 1.7146, recall: 0.9164, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8933, kappa: 0.8386, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8938, predictive_accuracy: 0.8939, prior_entropy: 1.7146, recall: 0.8939, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.811, kappa: 0.7039, kb_relative_information_score: 0.726, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.847, predictive_accuracy: 0.7951, prior_entropy: 1.7146, recall: 0.7951, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9168, kappa: 0.8742, kb_relative_information_score: 0.8824, 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: 0.9177, f_measure: 0.8942, kappa: 0.84, kb_relative_information_score: 0.849, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8947, predictive_accuracy: 0.8948, prior_entropy: 1.7146, recall: 0.8948, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8934, kappa: 0.8386, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 1.7146, recall: 0.8939, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9116, kappa: 0.8664, kb_relative_information_score: 0.8751, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9117, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8917, kappa: 0.8361, kb_relative_information_score: 0.8454, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8923, predictive_accuracy: 0.8922, prior_entropy: 1.7146, recall: 0.8922, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8897, kappa: 0.8332, kb_relative_information_score: 0.8423, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8904, predictive_accuracy: 0.8904, prior_entropy: 1.7146, recall: 0.8904, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8119, kappa: 0.7033, kb_relative_information_score: 0.725, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8524, predictive_accuracy: 0.794, prior_entropy: 1.7146, recall: 0.794, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8021, kappa: 0.6886, kb_relative_information_score: 0.7129, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8493, predictive_accuracy: 0.7817, prior_entropy: 1.7146, recall: 0.7817, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8338, kappa: 0.7442, kb_relative_information_score: 0.7676, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8563, predictive_accuracy: 0.8248, prior_entropy: 1.7146, recall: 0.8248, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.296, root_relative_squared_error: 0.7273,
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: 0.9164, f_measure: 0.8923, kappa: 0.8371, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8926, predictive_accuracy: 0.8928, prior_entropy: 1.7146, recall: 0.8928, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7669, kappa: 0.625, kb_relative_information_score: 0.6476, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.842, predictive_accuracy: 0.7319, prior_entropy: 1.7146, recall: 0.7319, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9159, kappa: 0.8729, kb_relative_information_score: 0.8818, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 1.7146, recall: 0.9161, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.891, kappa: 0.8352, kb_relative_information_score: 0.845, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8913, predictive_accuracy: 0.8915, prior_entropy: 1.7146, recall: 0.8915, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5724,

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