Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9433, kappa: 0.8694, kb_relative_information_score: 12537.3185, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9474, predictive_accuracy: 0.9445, prior_entropy: 0.9135, recall: 0.9445, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.942, kappa: 0.8663, kb_relative_information_score: 11899.8505, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9434, prior_entropy: 0.9135, recall: 0.9434, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9444, kappa: 0.872, kb_relative_information_score: 12212.1908, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9486, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -61.1951, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9483, kappa: 0.8811, kb_relative_information_score: 12763.5978, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9516, kappa: 0.8889, kb_relative_information_score: 12971.2637, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.954, predictive_accuracy: 0.9524, prior_entropy: 0.9135, recall: 0.9524, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9455, kappa: 0.8744, kb_relative_information_score: 12311.4608, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9494, predictive_accuracy: 0.9466, prior_entropy: 0.9135, recall: 0.9466, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12622.7888, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9487, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9428, kappa: 0.8683, kb_relative_information_score: 12423.7217, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9471, predictive_accuracy: 0.9441, prior_entropy: 0.9135, recall: 0.9441, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9426, kappa: 0.8676, kb_relative_information_score: 11896.772, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9439, prior_entropy: 0.9135, recall: 0.9439, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9515, kappa: 0.8887, kb_relative_information_score: 13012.9741, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9536, predictive_accuracy: 0.9523, prior_entropy: 0.9135, recall: 0.9523, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9422, kappa: 0.8668, kb_relative_information_score: 11992.3632, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9355, kappa: 0.852, kb_relative_information_score: 12180.4126, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9375, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9491, kappa: 0.883, kb_relative_information_score: 12631.9262, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.952, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9424, kappa: 0.8672, kb_relative_information_score: 11984.3192, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9469, predictive_accuracy: 0.9437, prior_entropy: 0.9135, recall: 0.9437, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.947, kappa: 0.8782, kb_relative_information_score: 12758.7609, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9498, predictive_accuracy: 0.948, prior_entropy: 0.9135, recall: 0.948, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9485, kappa: 0.8818, kb_relative_information_score: 12849.2882, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9509, predictive_accuracy: 0.9494, prior_entropy: 0.9135, recall: 0.9494, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9443, kappa: 0.8718, kb_relative_information_score: 12226.4365, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9455, prior_entropy: 0.9135, recall: 0.9455, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9497, kappa: 0.8844, kb_relative_information_score: 12890.6297, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9523, predictive_accuracy: 0.9505, prior_entropy: 0.9135, recall: 0.9505, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9475, kappa: 0.8794, kb_relative_information_score: 12800.4698, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9501, predictive_accuracy: 0.9484, prior_entropy: 0.9135, recall: 0.9484, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9445, kappa: 0.8723, kb_relative_information_score: 12627.6973, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9457, prior_entropy: 0.9135, recall: 0.9457, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9475, kappa: 0.8793, kb_relative_information_score: 12788.7051, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9505, predictive_accuracy: 0.9485, prior_entropy: 0.9135, recall: 0.9485, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.947, kappa: 0.8781, kb_relative_information_score: 12360.9844, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9481, prior_entropy: 0.9135, recall: 0.9481, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9481, kappa: 0.8806, kb_relative_information_score: 12483.6692, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9512, predictive_accuracy: 0.9491, prior_entropy: 0.9135, recall: 0.9491, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9482, kappa: 0.881, kb_relative_information_score: 12804.371, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9511, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9462, kappa: 0.8762, kb_relative_information_score: 12684.392, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9495, predictive_accuracy: 0.9472, prior_entropy: 0.9135, recall: 0.9472, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9416, kappa: 0.8653, kb_relative_information_score: 11937.6783, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9463, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9516, kappa: 0.8889, kb_relative_information_score: 13011.711, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9538, predictive_accuracy: 0.9523, prior_entropy: 0.9135, recall: 0.9523, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9491, kappa: 0.8831, kb_relative_information_score: 12880.814, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.95, prior_entropy: 0.9135, recall: 0.95, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.944, kappa: 0.871, kb_relative_information_score: 12616.4112, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9477, predictive_accuracy: 0.9451, prior_entropy: 0.9135, recall: 0.9451, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9483, kappa: 0.8812, kb_relative_information_score: 12567.5592, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9515, predictive_accuracy: 0.9493, prior_entropy: 0.9135, recall: 0.9493, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9504, kappa: 0.886, kb_relative_information_score: 12944.8244, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9527, predictive_accuracy: 0.9512, prior_entropy: 0.9135, recall: 0.9512, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9495, kappa: 0.8839, kb_relative_information_score: 12659.6079, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9524, predictive_accuracy: 0.9504, prior_entropy: 0.9135, recall: 0.9504, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9529, kappa: 0.8921, kb_relative_information_score: 13021.7636, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.9135, recall: 0.9536, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9435, kappa: 0.8699, kb_relative_information_score: 12080.7632, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9448, prior_entropy: 0.9135, recall: 0.9448, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.942, kappa: 0.8662, kb_relative_information_score: 11863.6591, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9433, prior_entropy: 0.9135, recall: 0.9433, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9475, kappa: 0.8793, kb_relative_information_score: 12772.2086, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9502, predictive_accuracy: 0.9484, prior_entropy: 0.9135, recall: 0.9484, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9428, kappa: 0.8681, kb_relative_information_score: 12411.256, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.942, kappa: 0.8664, kb_relative_information_score: 11970.7447, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9434, prior_entropy: 0.9135, recall: 0.9434, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8451, kappa: 0.6613, kb_relative_information_score: 4630.3621, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8587, predictive_accuracy: 0.8416, prior_entropy: 0.9135, recall: 0.8416, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12294.6541, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9467, kappa: 0.8773, kb_relative_information_score: 12683.0376, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9503, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9482, kappa: 0.8809, kb_relative_information_score: 12478.9057, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9516, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9504, kappa: 0.8862, kb_relative_information_score: 12901.1168, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9531, predictive_accuracy: 0.9513, prior_entropy: 0.9135, recall: 0.9513, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9431, kappa: 0.869, kb_relative_information_score: 12022.9199, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9444, prior_entropy: 0.9135, recall: 0.9444, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9438, kappa: 0.8706, kb_relative_information_score: 12147.1969, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9451, prior_entropy: 0.9135, recall: 0.9451, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9477, kappa: 0.8796, kb_relative_information_score: 12477.5258, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9487, prior_entropy: 0.9135, recall: 0.9487, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9498, kappa: 0.8845, kb_relative_information_score: 12831.12, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9526, predictive_accuracy: 0.9507, prior_entropy: 0.9135, recall: 0.9507, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9482, kappa: 0.881, kb_relative_information_score: 12726.6483, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9515, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.944, kappa: 0.871, kb_relative_information_score: 12183.6695, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9426, kappa: 0.8677, kb_relative_information_score: 12011.2689, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9471, predictive_accuracy: 0.9439, prior_entropy: 0.9135, recall: 0.9439, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9486, kappa: 0.8817, kb_relative_information_score: 12758.4774, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.9496, prior_entropy: 0.9135, recall: 0.9496, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9462, kappa: 0.8762, kb_relative_information_score: 12356.38, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9498, predictive_accuracy: 0.9473, prior_entropy: 0.9135, recall: 0.9473, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9438, kappa: 0.8705, kb_relative_information_score: 12157.4798, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9482, predictive_accuracy: 0.9451, prior_entropy: 0.9135, recall: 0.9451, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.209, root_relative_squared_error: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9427, kappa: 0.8679, kb_relative_information_score: 12000.8885, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9473, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9435, kappa: 0.8697, kb_relative_information_score: 12153.929, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9478, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9441, kappa: 0.8714, kb_relative_information_score: 12580.352, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9472, kappa: 0.8786, kb_relative_information_score: 12647.8112, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9507, predictive_accuracy: 0.9483, prior_entropy: 0.9135, recall: 0.9483, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9491, kappa: 0.8831, kb_relative_information_score: 12799.3069, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9522, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.945, kappa: 0.8734, kb_relative_information_score: 12617.9902, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9488, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9414, kappa: 0.8648, kb_relative_information_score: 11768.5041, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9462, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9474, kappa: 0.879, kb_relative_information_score: 12425.5324, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.951, predictive_accuracy: 0.9485, prior_entropy: 0.9135, recall: 0.9485, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9474, kappa: 0.879, kb_relative_information_score: 12455.8993, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9484, prior_entropy: 0.9135, recall: 0.9484, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9524, kappa: 0.8909, kb_relative_information_score: 13011.8025, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9545, predictive_accuracy: 0.9532, prior_entropy: 0.9135, recall: 0.9532, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.943, kappa: 0.8686, kb_relative_information_score: 12402.0865, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9442, prior_entropy: 0.9135, recall: 0.9442, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9439, kappa: 0.8707, kb_relative_information_score: 12161.2768, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9482, predictive_accuracy: 0.9451, prior_entropy: 0.9135, recall: 0.9451, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9494, kappa: 0.8837, kb_relative_information_score: 12665.8467, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9524, predictive_accuracy: 0.9503, prior_entropy: 0.9135, recall: 0.9503, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9506, kappa: 0.8868, kb_relative_information_score: 13003.0962, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9135, recall: 0.9514, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9491, kappa: 0.8831, kb_relative_information_score: 12758.3959, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9522, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12291.1396, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9435, kappa: 0.8699, kb_relative_information_score: 12126.6663, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9479, predictive_accuracy: 0.9448, prior_entropy: 0.9135, recall: 0.9448, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9415, kappa: 0.865, kb_relative_information_score: 11815.9562, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9465, predictive_accuracy: 0.9429, prior_entropy: 0.9135, recall: 0.9429, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9434, kappa: 0.8697, kb_relative_information_score: 12111.758, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9476, predictive_accuracy: 0.9447, prior_entropy: 0.9135, recall: 0.9447, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12244.3136, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9489, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9494, kappa: 0.8838, kb_relative_information_score: 12874.6549, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9522, predictive_accuracy: 0.9503, prior_entropy: 0.9135, recall: 0.9503, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9521, kappa: 0.8901, kb_relative_information_score: 13005.5217, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9542, predictive_accuracy: 0.9528, prior_entropy: 0.9135, recall: 0.9528, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9511, kappa: 0.8876, kb_relative_information_score: 12818.6321, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9536, predictive_accuracy: 0.9519, prior_entropy: 0.9135, recall: 0.9519, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9466, kappa: 0.8772, kb_relative_information_score: 12724.5134, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9501, predictive_accuracy: 0.9477, prior_entropy: 0.9135, recall: 0.9477, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9448, kappa: 0.8729, kb_relative_information_score: 12642.6071, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9484, predictive_accuracy: 0.9459, prior_entropy: 0.9135, recall: 0.9459, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9525, kappa: 0.8913, kb_relative_information_score: 13164.9971, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9535, predictive_accuracy: 0.953, prior_entropy: 0.9135, recall: 0.953, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9494, kappa: 0.8838, kb_relative_information_score: 12845.029, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9523, predictive_accuracy: 0.9503, prior_entropy: 0.9135, recall: 0.9503, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9471, kappa: 0.8782, kb_relative_information_score: 12393.9486, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9482, prior_entropy: 0.9135, recall: 0.9482, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9464, kappa: 0.8767, kb_relative_information_score: 12725.5026, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9497, predictive_accuracy: 0.9474, prior_entropy: 0.9135, recall: 0.9474, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9486, kappa: 0.882, kb_relative_information_score: 12870.0451, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9494, prior_entropy: 0.9135, recall: 0.9494, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9441, kappa: 0.8714, kb_relative_information_score: 12573.4615, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 0.9135, recall: 0.9453, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9425, kappa: 0.8674, kb_relative_information_score: 11983.5902, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9472, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9446, kappa: 0.8724, kb_relative_information_score: 12239.4548, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9486, predictive_accuracy: 0.9458, prior_entropy: 0.9135, recall: 0.9458, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9448, kappa: 0.873, kb_relative_information_score: 12637.6996, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9485, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9421, kappa: 0.8666, kb_relative_information_score: 11926.1787, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9467, predictive_accuracy: 0.9435, prior_entropy: 0.9135, recall: 0.9435, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9443, kappa: 0.8718, kb_relative_information_score: 12192.7472, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9486, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9448, kappa: 0.873, kb_relative_information_score: 12201.1581, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9489, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9473, kappa: 0.8788, kb_relative_information_score: 12700.4628, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9507, predictive_accuracy: 0.9483, prior_entropy: 0.9135, recall: 0.9483, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9459, kappa: 0.8755, kb_relative_information_score: 12682.7571, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9492, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9487, kappa: 0.8822, kb_relative_information_score: 12822.7627, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9514, predictive_accuracy: 0.9496, prior_entropy: 0.9135, recall: 0.9496, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9436, kappa: 0.87, kb_relative_information_score: 12115.8015, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.948, predictive_accuracy: 0.9449, prior_entropy: 0.9135, recall: 0.9449, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9477, kappa: 0.8799, kb_relative_information_score: 12799.4957, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9502, predictive_accuracy: 0.9486, prior_entropy: 0.9135, recall: 0.9486, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9449, kappa: 0.8731, kb_relative_information_score: 12328.3796, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.9461, prior_entropy: 0.9135, recall: 0.9461, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9445, kappa: 0.8722, kb_relative_information_score: 12616.6588, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9482, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9487, kappa: 0.882, kb_relative_information_score: 12495.1984, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9517, predictive_accuracy: 0.9496, prior_entropy: 0.9135, recall: 0.9496, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12564.6376, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4362,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs