OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
Issue #Downvotes for this reason By


Metric:

32444 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9552, kappa: 0.8896, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9626, kappa: 0.9084, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.8061, kappa: 0.5008, kb_relative_information_score: 0.5497, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8546, predictive_accuracy: 0.8305, prior_entropy: 0.863, recall: 0.8305, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9639, kappa: 0.9116, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9609, kappa: 0.9041, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9638, kappa: 0.9115, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.9002, kappa: 0.747, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9102, predictive_accuracy: 0.9051, prior_entropy: 0.863, recall: 0.9051, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9287, kappa: 0.8252, kb_relative_information_score: 0.8104, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.9022, kappa: 0.7522, kb_relative_information_score: 0.7528, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.912, predictive_accuracy: 0.9069, prior_entropy: 0.863, recall: 0.9069, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9406, kappa: 0.8546, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9632, kappa: 0.9098, 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: 0.9215, f_measure: 0.9449, kappa: 0.8634, kb_relative_information_score: 0.8554, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.9097, kappa: 0.7721, kb_relative_information_score: 0.7701, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.917, predictive_accuracy: 0.9135, prior_entropy: 0.863, recall: 0.9135, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9589, kappa: 0.8988, kb_relative_information_score: 0.8912, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9524, kappa: 0.8836, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, 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: 0.9545, f_measure: 0.9629, kappa: 0.9091, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9551, kappa: 0.8895, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9627, kappa: 0.9086, kb_relative_information_score: 0.9011, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9636, kappa: 0.9109, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.951, kappa: 0.8798, kb_relative_information_score: 0.8699, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9503, kappa: 0.878, 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: 0.1218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9494, kappa: 0.8748, kb_relative_information_score: 0.8667, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958,
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: 0.9518, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.959, kappa: 0.8992, 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: 0.946, f_measure: 0.959, kappa: 0.8992, 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: 0.9219, f_measure: 0.9355, kappa: 0.8422, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, 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: 0.9219, f_measure: 0.9355, kappa: 0.8422, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, 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: 0.6959, f_measure: 0.7962, kappa: 0.4752, kb_relative_information_score: 0.5309, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8494, predictive_accuracy: 0.8234, prior_entropy: 0.863, recall: 0.8234, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7962, kappa: 0.4752, kb_relative_information_score: 0.5309, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8494, predictive_accuracy: 0.8234, prior_entropy: 0.863, recall: 0.8234, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7605, kappa: 0.3843, kb_relative_information_score: 0.4675, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8333, predictive_accuracy: 0.7996, prior_entropy: 0.863, recall: 0.7996, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.7317, kappa: 0.3126, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8216, predictive_accuracy: 0.7818, prior_entropy: 0.863, recall: 0.7818, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.7396, kappa: 0.332, kb_relative_information_score: 0.4328, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8245, 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: 0.462, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7591, kappa: 0.3808, kb_relative_information_score: 0.4652, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8328, predictive_accuracy: 0.7987, prior_entropy: 0.863, recall: 0.7987, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9932,
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: 0.9566, 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: 0.9566, 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: 0.9951, f_measure: 0.9699, kappa: 0.9259, kb_relative_information_score: 0.8545, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs