OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9276, kappa: 0.8905, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9277, predictive_accuracy: 0.9276, prior_entropy: 1.7146, recall: 0.9276, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8103, kappa: 0.7126, kb_relative_information_score: 0.729, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.814, predictive_accuracy: 0.8121, prior_entropy: 1.7146, recall: 0.8121, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.739, kappa: 0.6124, kb_relative_information_score: 0.6379, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7621, predictive_accuracy: 0.7502, prior_entropy: 1.7146, recall: 0.7502, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7247, kappa: 0.5933, kb_relative_information_score: 0.6189, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7564, predictive_accuracy: 0.7388, prior_entropy: 1.7146, recall: 0.7388, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.662, kappa: 0.5046, kb_relative_information_score: 0.5318, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7318, predictive_accuracy: 0.6875, prior_entropy: 1.7146, recall: 0.6875, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6003, kappa: 0.4014, kb_relative_information_score: 0.4626, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.602, predictive_accuracy: 0.6004, prior_entropy: 1.7146, recall: 0.6004, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.447, root_relative_squared_error: 1.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8808, kappa: 0.8195, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8823, predictive_accuracy: 0.8805, prior_entropy: 1.7146, recall: 0.8805, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9284, kappa: 0.8917, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9286, predictive_accuracy: 0.9283, prior_entropy: 1.7146, recall: 0.9283, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8864, kappa: 0.828, kb_relative_information_score: 0.8403, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8867, predictive_accuracy: 0.8865, prior_entropy: 1.7146, recall: 0.8865, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.4014, kappa: 0.0989, kb_relative_information_score: 0.1405, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3998, predictive_accuracy: 0.4036, prior_entropy: 1.7146, recall: 0.4036, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8627, kappa: 0.7922, kb_relative_information_score: 0.8037, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1.7146, recall: 0.864, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.5865, kappa: 0.3879, kb_relative_information_score: 0.4301, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6007, predictive_accuracy: 0.5821, prior_entropy: 1.7146, recall: 0.5821, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8868, kappa: 0.8285, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8872, predictive_accuracy: 0.8871, prior_entropy: 1.7146, recall: 0.8871, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9271, kappa: 0.8896, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9276, predictive_accuracy: 0.9271, prior_entropy: 1.7146, recall: 0.9271, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7318, kappa: 0.5919, kb_relative_information_score: 0.6186, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7379, predictive_accuracy: 0.7339, prior_entropy: 1.7146, recall: 0.7339, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8209, kappa: 0.7286, kb_relative_information_score: 0.7464, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8233, predictive_accuracy: 0.8224, prior_entropy: 1.7146, recall: 0.8224, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9217, kappa: 0.8816, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9218, predictive_accuracy: 0.9217, prior_entropy: 1.7146, recall: 0.9217, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.677, kappa: 0.5079, kb_relative_information_score: 0.5407, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6846, predictive_accuracy: 0.6818, prior_entropy: 1.7146, recall: 0.6818, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9107, kappa: 0.8648, kb_relative_information_score: 0.8738, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9108, 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: 0.7896, f_measure: 0.7265, kappa: 0.5901, kb_relative_information_score: 0.6086, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7535, predictive_accuracy: 0.7383, prior_entropy: 1.7146, recall: 0.7383, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8394, kappa: 0.7563, kb_relative_information_score: 0.7737, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8409, 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: 0.797, f_measure: 0.7337, kappa: 0.6045, kb_relative_information_score: 0.6297, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7573, predictive_accuracy: 0.7454, prior_entropy: 1.7146, recall: 0.7454, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7893, kappa: 0.6863, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8002, predictive_accuracy: 0.7966, prior_entropy: 1.7146, recall: 0.7966, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9061, kappa: 0.8578, kb_relative_information_score: 0.8643, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 1.7146, recall: 0.9063, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9182, kappa: 0.8761, kb_relative_information_score: 0.8837, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9183, predictive_accuracy: 0.9183, prior_entropy: 1.7146, recall: 0.9183, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8884, kappa: 0.831, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.889, 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: 0.5275, kappa: 0.056, kb_relative_information_score: 0.1669, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4368, prior_entropy: 1.7146, recall: 0.4368, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8939, kappa: 0.8393, kb_relative_information_score: 0.8483, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8942, 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: 0.9301, f_measure: 0.9103, kappa: 0.8642, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9107, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9079, kappa: 0.8606, kb_relative_information_score: 0.8697, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 1.7146, recall: 0.908, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7317, kappa: 0.5986, kb_relative_information_score: 0.623, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7518, predictive_accuracy: 0.7414, prior_entropy: 1.7146, recall: 0.7414, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6023, kappa: 0.4283, kb_relative_information_score: 0.4568, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7028, predictive_accuracy: 0.6448, prior_entropy: 1.7146, recall: 0.6448, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.0356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6748, kappa: 0.5241, kb_relative_information_score: 0.5502, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7415, predictive_accuracy: 0.6994, prior_entropy: 1.7146, recall: 0.6994, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6993, kappa: 0.5577, kb_relative_information_score: 0.584, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7468, predictive_accuracy: 0.7181, prior_entropy: 1.7146, recall: 0.7181, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9229, kappa: 0.8833, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9231, predictive_accuracy: 0.9228, prior_entropy: 1.7146, recall: 0.9228, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8788, kappa: 0.8162, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8797, predictive_accuracy: 0.8794, prior_entropy: 1.7146, recall: 0.8794, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9231, kappa: 0.8835, kb_relative_information_score: 0.8907, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9235, predictive_accuracy: 0.923, prior_entropy: 1.7146, recall: 0.923, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9113, kappa: 0.8656, kb_relative_information_score: 0.8755, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9114, 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: 0.9147, f_measure: 0.8905, kappa: 0.8342, kb_relative_information_score: 0.8435, 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: 0.8319, f_measure: 0.7828, kappa: 0.6722, kb_relative_information_score: 0.6917, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7902, predictive_accuracy: 0.7868, prior_entropy: 1.7146, recall: 0.7868, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9158, kappa: 0.8725, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9159, 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: 0.8726, f_measure: 0.8379, kappa: 0.7542, kb_relative_information_score: 0.7702, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8406, predictive_accuracy: 0.8394, prior_entropy: 1.7146, recall: 0.8394, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7896, kappa: 0.6821, kb_relative_information_score: 0.7014, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7964, predictive_accuracy: 0.7933, prior_entropy: 1.7146, recall: 0.7933, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6747, kappa: 0.518, kb_relative_information_score: 0.5417, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7224, predictive_accuracy: 0.6945, prior_entropy: 1.7146, recall: 0.6945, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9099, kappa: 0.8637, kb_relative_information_score: 0.8698, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9104, 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: 0.9392, f_measure: 0.9217, kappa: 0.8815, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9218, predictive_accuracy: 0.9217, prior_entropy: 1.7146, recall: 0.9217, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9042, kappa: 0.855, kb_relative_information_score: 0.8644, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 1.7146, recall: 0.9043, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9223, kappa: 0.8824, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9224, predictive_accuracy: 0.9223, prior_entropy: 1.7146, recall: 0.9223, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8155, kappa: 0.7169, kb_relative_information_score: 0.7253, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8406, predictive_accuracy: 0.8167, prior_entropy: 1.7146, recall: 0.8167, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9111, kappa: 0.8653, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, predictive_accuracy: 0.9109, prior_entropy: 1.7146, recall: 0.9109, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.6515, kappa: 0.475, kb_relative_information_score: 0.5352, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6531, predictive_accuracy: 0.6519, prior_entropy: 1.7146, recall: 0.6519, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.718, kappa: 0.5735, kb_relative_information_score: 0.5985, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7308, predictive_accuracy: 0.7249, prior_entropy: 1.7146, recall: 0.7249, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.5313, kappa: 0.3169, kb_relative_information_score: 0.3601, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5896, predictive_accuracy: 0.5753, prior_entropy: 1.7146, recall: 0.5753, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8143, kappa: 0.7185, kb_relative_information_score: 0.7351, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8186, predictive_accuracy: 0.8163, prior_entropy: 1.7146, recall: 0.8163, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9043, kappa: 0.8554, kb_relative_information_score: 0.868, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9049, predictive_accuracy: 0.9041, prior_entropy: 1.7146, recall: 0.9041, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9307, kappa: 0.8953, kb_relative_information_score: 0.903, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9307, predictive_accuracy: 0.9307, prior_entropy: 1.7146, recall: 0.9307, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8954, kappa: 0.8417, kb_relative_information_score: 0.8539, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8957, predictive_accuracy: 0.8955, prior_entropy: 1.7146, recall: 0.8955, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9211, kappa: 0.8806, kb_relative_information_score: 0.8873, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9212, predictive_accuracy: 0.9212, prior_entropy: 1.7146, recall: 0.9212, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8751, kappa: 0.8109, kb_relative_information_score: 0.8305, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8769, predictive_accuracy: 0.8748, prior_entropy: 1.7146, recall: 0.8748, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8971, kappa: 0.8442, kb_relative_information_score: 0.854, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8975, predictive_accuracy: 0.8974, prior_entropy: 1.7146, recall: 0.8974, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9256, kappa: 0.8876, kb_relative_information_score: 0.8965, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9256, predictive_accuracy: 0.9256, prior_entropy: 1.7146, recall: 0.9256, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.5535, kappa: 0.3513, kb_relative_information_score: 0.3903, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6616, predictive_accuracy: 0.5966, prior_entropy: 1.7146, recall: 0.5966, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.92, kappa: 0.8788, kb_relative_information_score: 0.8869, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9206, predictive_accuracy: 0.9199, prior_entropy: 1.7146, recall: 0.9199, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.3548, kappa: 0.0404, kb_relative_information_score: 0.0829, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3671, predictive_accuracy: 0.3605, prior_entropy: 1.7146, recall: 0.3605, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5655, root_relative_squared_error: 1.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9206, kappa: 0.8796, kb_relative_information_score: 0.8884, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9211, predictive_accuracy: 0.9205, prior_entropy: 1.7146, recall: 0.9205, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9249, kappa: 0.8864, kb_relative_information_score: 0.8947, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.925, predictive_accuracy: 0.9249, prior_entropy: 1.7146, recall: 0.9249, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.901, kappa: 0.85, kb_relative_information_score: 0.8562, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9016, predictive_accuracy: 0.9014, prior_entropy: 1.7146, recall: 0.9014, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.222, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8535, kappa: 0.7776, kb_relative_information_score: 0.7937, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8544, predictive_accuracy: 0.8539, prior_entropy: 1.7146, recall: 0.8539, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7158, kappa: 0.57, kb_relative_information_score: 0.6027, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7365, predictive_accuracy: 0.7137, prior_entropy: 1.7146, recall: 0.7137, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6995, kappa: 0.545, kb_relative_information_score: 0.5717, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7143, predictive_accuracy: 0.7073, prior_entropy: 1.7146, recall: 0.7073, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8917, kappa: 0.8361, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8919, 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: 0.9377, f_measure: 0.9195, kappa: 0.8781, kb_relative_information_score: 0.8854, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9196, predictive_accuracy: 0.9195, prior_entropy: 1.7146, recall: 0.9195, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8797, kappa: 0.8178, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.881, predictive_accuracy: 0.8794, prior_entropy: 1.7146, recall: 0.8794, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9309, kappa: 0.8955, kb_relative_information_score: 0.9028, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.931, predictive_accuracy: 0.9309, prior_entropy: 1.7146, recall: 0.9309, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.927, kappa: 0.8897, kb_relative_information_score: 0.8978, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9271, predictive_accuracy: 0.9271, prior_entropy: 1.7146, recall: 0.9271, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9304, kappa: 0.8947, kb_relative_information_score: 0.9024, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1.7146, recall: 0.9304, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9261, kappa: 0.8884, kb_relative_information_score: 0.8973, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9261, predictive_accuracy: 0.9261, prior_entropy: 1.7146, recall: 0.9261, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.6928, kappa: 0.5349, kb_relative_information_score: 0.5616, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7092, predictive_accuracy: 0.7012, prior_entropy: 1.7146, recall: 0.7012, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9265, kappa: 0.8889, kb_relative_information_score: 0.8972, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9267, predictive_accuracy: 0.9265, prior_entropy: 1.7146, recall: 0.9265, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9125, kappa: 0.8677, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9126, 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: 0.6386, f_measure: 0.5099, kappa: 0.2841, kb_relative_information_score: 0.3355, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6734, predictive_accuracy: 0.5669, prior_entropy: 1.7146, recall: 0.5669, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9212, kappa: 0.8808, kb_relative_information_score: 0.8903, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9213, predictive_accuracy: 0.9212, prior_entropy: 1.7146, recall: 0.9212, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8129, kappa: 0.7129, kb_relative_information_score: 0.7217, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8387, predictive_accuracy: 0.8141, prior_entropy: 1.7146, recall: 0.8141, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8925, kappa: 0.8371, kb_relative_information_score: 0.847, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8928, 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: 0.9437, f_measure: 0.9273, kappa: 0.89, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 1.7146, recall: 0.9272, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8965, kappa: 0.8433, kb_relative_information_score: 0.8546, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8967, predictive_accuracy: 0.8966, prior_entropy: 1.7146, recall: 0.8966, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3999, f_measure: 0.2078, kappa: -0.1932, kb_relative_information_score: -0.1048, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.2073, predictive_accuracy: 0.2086, prior_entropy: 1.7146, recall: 0.2086, relative_absolute_error: 1.1946, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7218, kappa: 0.5785, kb_relative_information_score: 0.604, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7329, predictive_accuracy: 0.7275, prior_entropy: 1.7146, recall: 0.7275, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, kappa: 0.2962, kb_relative_information_score: 0.3327, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5711, prior_entropy: 1.7146, recall: 0.5711, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.1379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7842, kappa: 0.6737, kb_relative_information_score: 0.6905, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7922, predictive_accuracy: 0.7881, prior_entropy: 1.7146, recall: 0.7881, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8001, kappa: 0.6975, kb_relative_information_score: 0.7138, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8061, predictive_accuracy: 0.803, prior_entropy: 1.7146, recall: 0.803, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8746, kappa: 0.8099, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.875, predictive_accuracy: 0.8748, prior_entropy: 1.7146, recall: 0.8748, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8657, kappa: 0.7963, kb_relative_information_score: 0.8106, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 1.7146, recall: 0.866, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7187, kappa: 0.5723, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7276, predictive_accuracy: 0.7225, prior_entropy: 1.7146, recall: 0.7225, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.4197, kappa: 0.1234, kb_relative_information_score: 0.1697, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.417, predictive_accuracy: 0.423, prior_entropy: 1.7146, recall: 0.423, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.728, kappa: 0.5865, kb_relative_information_score: 0.6123, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7361, predictive_accuracy: 0.7313, prior_entropy: 1.7146, recall: 0.7313, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9154, kappa: 0.8719, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9155, 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: 0.909, f_measure: 0.8831, kappa: 0.8229, kb_relative_information_score: 0.8352, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8835, predictive_accuracy: 0.8832, prior_entropy: 1.7146, recall: 0.8832, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8826, kappa: 0.8224, kb_relative_information_score: 0.8383, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8835, predictive_accuracy: 0.8823, prior_entropy: 1.7146, recall: 0.8823, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.596,

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

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

OpenML APIs