OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32524 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32524 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9557, kappa: 0.8914, kb_relative_information_score: 0.8821, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9583, kappa: 0.8974, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9642, kappa: 0.9124, kb_relative_information_score: 0.9049, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9155, kappa: 0.7871, kb_relative_information_score: 0.7841, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.285, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9189, kappa: 0.7979, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9542, kappa: 0.8868, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6823, kappa: 0.1944, kb_relative_information_score: 0.3501, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8146, predictive_accuracy: 0.7554, prior_entropy: 0.863, recall: 0.7554, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9628, kappa: 0.9089, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 0.8935, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.935, kappa: 0.8378, kb_relative_information_score: 0.8315, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.946, kappa: 0.8675, kb_relative_information_score: 0.8568, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9641, kappa: 0.9121, kb_relative_information_score: 0.9046, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.8306, kappa: 0.5851, kb_relative_information_score: 0.5499, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 0.863, recall: 0.8306, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9561, kappa: 0.8922, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9504, kappa: 0.8782, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9585, kappa: 0.8979, kb_relative_information_score: 0.8901, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.8094, kappa: 0.5093, kb_relative_information_score: 0.5559, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8561, predictive_accuracy: 0.8328, prior_entropy: 0.863, recall: 0.8328, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9504, kappa: 0.8784, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7358, kappa: 0.3229, kb_relative_information_score: 0.4286, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8279, predictive_accuracy: 0.7849, prior_entropy: 0.863, recall: 0.7849, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9542, kappa: 0.8878, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8942, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8725, kappa: 0.6744, kb_relative_information_score: 0.6858, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.892, predictive_accuracy: 0.8817, prior_entropy: 0.863, recall: 0.8817, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9348, kappa: 0.8405, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9631, kappa: 0.9096, kb_relative_information_score: 0.9022, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9441, kappa: 0.8631, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 0.9026, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9501, kappa: 0.8776, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9584, kappa: 0.8982, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9611, kappa: 0.9046, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9574, kappa: 0.8956, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8551, kappa: 0.6287, kb_relative_information_score: 0.6482, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8813, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.95, kappa: 0.877, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.8205, kappa: 0.5381, kb_relative_information_score: 0.5791, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8416, prior_entropy: 0.863, recall: 0.8416, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9562, kappa: 0.8927, kb_relative_information_score: 0.8835, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8414, kappa: 0.5929, kb_relative_information_score: 0.6195, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8732, predictive_accuracy: 0.8568, prior_entropy: 0.863, recall: 0.8568, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9651, kappa: 0.9145, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9357, kappa: 0.8418, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.6976, kappa: 0.2298, kb_relative_information_score: 0.3691, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8098, predictive_accuracy: 0.7625, prior_entropy: 0.863, recall: 0.7625, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.718, kappa: 0.3089, kb_relative_information_score: 0.2508, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.718, predictive_accuracy: 0.718, prior_entropy: 0.863, recall: 0.718, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.531, root_relative_squared_error: 1.1755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.868, kappa: 0.6624, kb_relative_information_score: 0.6759, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8893, predictive_accuracy: 0.878, prior_entropy: 0.863, recall: 0.878, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 0.9, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9618, kappa: 0.9064, kb_relative_information_score: 0.8987, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.7424, kappa: 0.3391, kb_relative_information_score: 0.4375, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8259, predictive_accuracy: 0.7883, prior_entropy: 0.863, recall: 0.7883, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9636, kappa: 0.9108, kb_relative_information_score: 0.9032, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9418, kappa: 0.8564, kb_relative_information_score: 0.8465, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9408, kappa: 0.855, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9588, kappa: 0.899, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9503, kappa: 0.8782, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 0.8804, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9523, kappa: 0.883, kb_relative_information_score: 0.8734, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9553, kappa: 0.8903, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.9043, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.956, kappa: 0.8915, kb_relative_information_score: 0.884, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9573, kappa: 0.8953, kb_relative_information_score: 0.8864, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9621, kappa: 0.9071, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.7009, kappa: 0.2378, kb_relative_information_score: 0.3738, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8108, predictive_accuracy: 0.7643, prior_entropy: 0.863, recall: 0.7643, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 0.9021, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9579, kappa: 0.8966, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.965, kappa: 0.9143, kb_relative_information_score: 0.9071, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9503, kappa: 0.8782, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8526, kappa: 0.6222, kb_relative_information_score: 0.6429, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8797, predictive_accuracy: 0.8656, prior_entropy: 0.863, recall: 0.8656, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8934, kappa: 0.7377, kb_relative_information_score: 0.7177, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8931, predictive_accuracy: 0.8937, prior_entropy: 0.863, recall: 0.8937, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.326, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.727, kappa: 0.3011, kb_relative_information_score: 0.4132, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8203, predictive_accuracy: 0.7791, prior_entropy: 0.863, recall: 0.7791, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.47, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9384, kappa: 0.8492, kb_relative_information_score: 0.8359, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.965, kappa: 0.9143, kb_relative_information_score: 0.9069, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.741, kappa: 0.3356, kb_relative_information_score: 0.4352, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8252, predictive_accuracy: 0.7874, prior_entropy: 0.863, recall: 0.7874, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.957, kappa: 0.8944, kb_relative_information_score: 0.886, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9577, kappa: 0.8963, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9547, kappa: 0.8884, kb_relative_information_score: 0.8805, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 0.9023, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.7113, kappa: 0.2627, kb_relative_information_score: 0.3889, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8138, predictive_accuracy: 0.77, prior_entropy: 0.863, recall: 0.77, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9473, kappa: 0.8692, kb_relative_information_score: 0.8618, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 0.8933, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9501, kappa: 0.8776, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9645, kappa: 0.9131, kb_relative_information_score: 0.9058, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9352, kappa: 0.8413, kb_relative_information_score: 0.8275, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 0.9061, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9588, kappa: 0.899, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 0.8654, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9475, kappa: 0.8712, kb_relative_information_score: 0.8606, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8731, kappa: 0.6759, kb_relative_information_score: 0.687, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8923, predictive_accuracy: 0.8822, prior_entropy: 0.863, recall: 0.8822, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9344, kappa: 0.8363, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.8327, kappa: 0.5895, kb_relative_information_score: 0.5562, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8325, predictive_accuracy: 0.833, prior_entropy: 0.863, recall: 0.833, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.937, kappa: 0.843, kb_relative_information_score: 0.836, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9501, kappa: 0.8776, kb_relative_information_score: 0.8676, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.8305, kappa: 0.5843, kb_relative_information_score: 0.5499, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8304, predictive_accuracy: 0.8306, prior_entropy: 0.863, recall: 0.8306, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9111,

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

OpenML APIs