Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31677 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.69, kappa: 0.212, kb_relative_information_score: 0.3584, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8075, predictive_accuracy: 0.7585, prior_entropy: 0.863, recall: 0.7585, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.8285, kappa: 0.5795, kb_relative_information_score: 0.5446, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8284, predictive_accuracy: 0.8286, prior_entropy: 0.863, recall: 0.8286, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.961, kappa: 0.9044, kb_relative_information_score: 0.8963, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9587, kappa: 0.8987, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7501, kappa: 0.3582, kb_relative_information_score: 0.4502, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8294, predictive_accuracy: 0.7931, prior_entropy: 0.863, recall: 0.7931, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9613, kappa: 0.9048, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.956, kappa: 0.8917, kb_relative_information_score: 0.8836, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, 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: 0.2093, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, 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: 0.1918, root_relative_squared_error: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.69, kappa: 0.212, kb_relative_information_score: 0.3584, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8075, predictive_accuracy: 0.7585, prior_entropy: 0.863, recall: 0.7585, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9356, kappa: 0.8423, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.9067, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.9048, kappa: 0.7591, kb_relative_information_score: 0.7588, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9137, predictive_accuracy: 0.9092, prior_entropy: 0.863, recall: 0.9092, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 0.902, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9501, kappa: 0.8777, 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: 0.9375, f_measure: 0.9498, kappa: 0.8767, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9655, kappa: 0.9155, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9479, kappa: 0.872, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.9139, kappa: 0.7828, kb_relative_information_score: 0.7801, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9172, prior_entropy: 0.863, recall: 0.9172, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9143, kappa: 0.7892, kb_relative_information_score: 0.7733, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9141, predictive_accuracy: 0.9147, prior_entropy: 0.863, recall: 0.9147, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9654, kappa: 0.9153, kb_relative_information_score: 0.9082, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9374, kappa: 0.844, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 0.8938, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9516, kappa: 0.8807, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 0.8942, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9517, kappa: 0.8806, kb_relative_information_score: 0.8729, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.9025, kappa: 0.7547, kb_relative_information_score: 0.7505, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9074, predictive_accuracy: 0.9061, prior_entropy: 0.863, recall: 0.9061, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9554, kappa: 0.8907, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9539, kappa: 0.8868, kb_relative_information_score: 0.878, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.6292, kappa: 0.073, kb_relative_information_score: 0.2796, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7907, predictive_accuracy: 0.7289, prior_entropy: 0.863, recall: 0.7289, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9522, kappa: 0.8825, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9556, kappa: 0.891, kb_relative_information_score: 0.882, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9554, kappa: 0.8899, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9572, kappa: 0.8947, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, 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: 0.6455, f_measure: 0.7537, kappa: 0.3672, kb_relative_information_score: 0.456, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8304, predictive_accuracy: 0.7953, prior_entropy: 0.863, recall: 0.7953, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.9021, kappa: 0.7519, kb_relative_information_score: 0.7526, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9121, predictive_accuracy: 0.9069, prior_entropy: 0.863, recall: 0.9069, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9562, kappa: 0.8927, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.9242, kappa: 0.8098, kb_relative_information_score: 0.8045, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9644, kappa: 0.9128, kb_relative_information_score: 0.9055, 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: 0.0872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9204, kappa: 0.7999, kb_relative_information_score: 0.7956, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9231, prior_entropy: 0.863, recall: 0.9231, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.8506, kappa: 0.6169, kb_relative_information_score: 0.6387, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8785, predictive_accuracy: 0.864, prior_entropy: 0.863, recall: 0.864, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.7177, kappa: 0.2786, kb_relative_information_score: 0.4001, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8205, predictive_accuracy: 0.7742, prior_entropy: 0.863, recall: 0.7742, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8642, kappa: 0.6525, kb_relative_information_score: 0.6676, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8867, predictive_accuracy: 0.8749, prior_entropy: 0.863, recall: 0.8749, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9393, kappa: 0.8489, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.9077, kappa: 0.7679, kb_relative_information_score: 0.7629, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9119, predictive_accuracy: 0.9108, prior_entropy: 0.863, recall: 0.9108, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7865, kappa: 0.4767, kb_relative_information_score: 0.4327, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7864, predictive_accuracy: 0.7865, prior_entropy: 0.863, recall: 0.7865, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.8228, kappa: 0.5654, kb_relative_information_score: 0.5296, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8226, predictive_accuracy: 0.823, prior_entropy: 0.863, recall: 0.823, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9596, kappa: 0.901, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, 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: 0.9543, f_measure: 0.9635, kappa: 0.9106, kb_relative_information_score: 0.9032, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, 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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs