OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

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


Metric:

107074 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: 0.8232, f_measure: 0.8364, kappa: 0.6333, kb_relative_information_score: 9417.8189, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8392, predictive_accuracy: 0.8349, prior_entropy: 0.9135, recall: 0.8349, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6859, kappa: 0.288, kb_relative_information_score: 3892.4863, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6858, predictive_accuracy: 0.6859, prior_entropy: 0.9135, recall: 0.6859, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5604, root_relative_squared_error: 1.1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8389, kappa: 0.6449, kb_relative_information_score: 9451.2335, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8485, predictive_accuracy: 0.8358, prior_entropy: 0.9135, recall: 0.8358, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3687, f_measure: 0.4429, kappa: -0.2626, kb_relative_information_score: -5127.0523, mean_absolute_error: 0.5572, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4429, predictive_accuracy: 0.4428, prior_entropy: 0.9135, recall: 0.4428, relative_absolute_error: 1.2627, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7464, root_relative_squared_error: 1.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8467, kappa: 0.6613, kb_relative_information_score: 9754.3511, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8551, predictive_accuracy: 0.8439, prior_entropy: 0.9135, recall: 0.8439, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8504, kappa: 0.6691, kb_relative_information_score: 9897.5562, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8583, predictive_accuracy: 0.8478, prior_entropy: 0.9135, recall: 0.8478, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8339, kappa: 0.6351, kb_relative_information_score: 9253.133, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8452, predictive_accuracy: 0.8304, prior_entropy: 0.9135, recall: 0.8304, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8057, kappa: 0.5598, kb_relative_information_score: 8334.2332, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8058, predictive_accuracy: 0.8057, prior_entropy: 0.9135, recall: 0.8057, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.634, kappa: 0.1697, kb_relative_information_score: 1978.3106, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6337, predictive_accuracy: 0.6344, prior_entropy: 0.9135, recall: 0.6344, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6047, root_relative_squared_error: 1.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.6262, kappa: 0.152, kb_relative_information_score: 1691.9003, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6258, predictive_accuracy: 0.6266, prior_entropy: 0.9135, recall: 0.6266, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.611, root_relative_squared_error: 1.3009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8351, kappa: 0.629, kb_relative_information_score: 9384.4044, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8368, predictive_accuracy: 0.834, prior_entropy: 0.9135, recall: 0.834, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8469, kappa: 0.6614, kb_relative_information_score: 9763.8981, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8548, predictive_accuracy: 0.8442, prior_entropy: 0.9135, recall: 0.8442, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8964, kappa: 0.7662, kb_relative_information_score: 11687.6208, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.897, predictive_accuracy: 0.896, prior_entropy: 0.9135, recall: 0.896, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5999, kappa: 0.0934, kb_relative_information_score: 699.0112, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6, predictive_accuracy: 0.5999, prior_entropy: 0.9135, recall: 0.5999, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.6134, kappa: 0.1237, kb_relative_information_score: 1205.0027, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6134, predictive_accuracy: 0.6135, prior_entropy: 0.9135, recall: 0.6135, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8405, kappa: 0.6444, kb_relative_information_score: 9551.4771, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8385, prior_entropy: 0.9135, recall: 0.8385, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8545, kappa: 0.6778, kb_relative_information_score: 10055.0819, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8618, predictive_accuracy: 0.852, prior_entropy: 0.9135, recall: 0.852, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9003, kappa: 0.7751, kb_relative_information_score: 11828.4392, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.901, predictive_accuracy: 0.8998, prior_entropy: 0.9135, recall: 0.8998, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.573, kappa: 0.0598, kb_relative_information_score: 3892.4863, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7728, predictive_accuracy: 0.6859, prior_entropy: 0.9135, recall: 0.6859, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5604, root_relative_squared_error: 1.1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8336, kappa: 0.6346, kb_relative_information_score: 9243.586, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8743, kappa: 0.7158, kb_relative_information_score: 10873.7381, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8746, predictive_accuracy: 0.8741, prior_entropy: 0.9135, recall: 0.8741, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.886, kappa: 0.7438, kb_relative_information_score: 11281.8728, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8877, predictive_accuracy: 0.8851, prior_entropy: 0.9135, recall: 0.8851, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.6323, kappa: 0.1656, kb_relative_information_score: 1916.2551, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6318, predictive_accuracy: 0.6327, prior_entropy: 0.9135, recall: 0.6327, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6061, root_relative_squared_error: 1.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3162, f_measure: 0.3967, kappa: -0.3679, kb_relative_information_score: -6828.807, mean_absolute_error: 0.603, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3964, predictive_accuracy: 0.397, prior_entropy: 0.9135, recall: 0.397, relative_absolute_error: 1.3666, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7765, root_relative_squared_error: 1.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.6157, kappa: 0.128, kb_relative_information_score: 1305.2464, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6153, predictive_accuracy: 0.6162, prior_entropy: 0.9135, recall: 0.6162, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6195, root_relative_squared_error: 1.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8339, kappa: 0.6351, kb_relative_information_score: 9255.5198, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8452, predictive_accuracy: 0.8305, prior_entropy: 0.9135, recall: 0.8305, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8937, kappa: 0.7614, kb_relative_information_score: 11565.8964, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8956, predictive_accuracy: 0.8928, prior_entropy: 0.9135, recall: 0.8928, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7436, kappa: 0.4193, kb_relative_information_score: 6021.4698, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7438, predictive_accuracy: 0.7433, prior_entropy: 0.9135, recall: 0.7433, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.863, kappa: 0.6954, kb_relative_information_score: 10384.4538, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8685, predictive_accuracy: 0.8609, prior_entropy: 0.9135, recall: 0.8609, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.6127, kappa: 0.1222, kb_relative_information_score: 1178.7485, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6127, predictive_accuracy: 0.6128, prior_entropy: 0.9135, recall: 0.6128, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6897, kappa: 0.2968, kb_relative_information_score: 4030.918, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6897, predictive_accuracy: 0.6897, prior_entropy: 0.9135, recall: 0.6897, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8471, kappa: 0.662, kb_relative_information_score: 9771.0584, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8552, predictive_accuracy: 0.8444, prior_entropy: 0.9135, recall: 0.8444, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8538, kappa: 0.676, kb_relative_information_score: 10028.8276, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8608, predictive_accuracy: 0.8513, prior_entropy: 0.9135, recall: 0.8513, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8564, kappa: 0.6815, kb_relative_information_score: 10129.0713, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.863, predictive_accuracy: 0.854, prior_entropy: 0.9135, recall: 0.854, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.6291, kappa: 0.1578, kb_relative_information_score: 1813.6247, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6284, predictive_accuracy: 0.6299, prior_entropy: 0.9135, recall: 0.6299, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.781, kappa: 0.4886, kb_relative_information_score: 7969.06, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7967, predictive_accuracy: 0.7958, prior_entropy: 0.9135, recall: 0.7958, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8625, kappa: 0.6937, kb_relative_information_score: 10372.52, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8673, predictive_accuracy: 0.8606, prior_entropy: 0.9135, recall: 0.8606, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.797, kappa: 0.5365, kb_relative_information_score: 8076.4639, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.796, predictive_accuracy: 0.7987, prior_entropy: 0.9135, recall: 0.7987, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8336, kappa: 0.6345, kb_relative_information_score: 9243.586, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8386, kappa: 0.6414, kb_relative_information_score: 9467.9408, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8445, predictive_accuracy: 0.8362, prior_entropy: 0.9135, recall: 0.8362, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3325, f_measure: 0.4133, kappa: -0.3414, kb_relative_information_score: -5998.217, mean_absolute_error: 0.5806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4076, predictive_accuracy: 0.4194, prior_entropy: 0.9135, recall: 0.4194, relative_absolute_error: 1.3159, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.762, root_relative_squared_error: 1.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.6084, kappa: 0.1127, kb_relative_information_score: 1014.0625, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6085, predictive_accuracy: 0.6084, prior_entropy: 0.9135, recall: 0.6084, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6258, root_relative_squared_error: 1.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.803, kappa: 0.5515, kb_relative_information_score: 8274.5644, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8023, predictive_accuracy: 0.8041, prior_entropy: 0.9135, recall: 0.8041, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.633, kappa: 0.1668, kb_relative_information_score: 1952.0564, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6324, predictive_accuracy: 0.6336, prior_entropy: 0.9135, recall: 0.6336, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8593, kappa: 0.6875, kb_relative_information_score: 10243.6354, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8653, predictive_accuracy: 0.8571, prior_entropy: 0.9135, recall: 0.8571, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8574, kappa: 0.6827, kb_relative_information_score: 10179.1931, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8626, predictive_accuracy: 0.8554, prior_entropy: 0.9135, recall: 0.8554, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8972, kappa: 0.7679, kb_relative_information_score: 11718.6486, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8977, predictive_accuracy: 0.8969, prior_entropy: 0.9135, recall: 0.8969, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.886, kappa: 0.7438, kb_relative_information_score: 11284.2596, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8877, predictive_accuracy: 0.8852, prior_entropy: 0.9135, recall: 0.8852, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3383, f_measure: 0.4197, kappa: -0.3346, kb_relative_information_score: -5570.9883, mean_absolute_error: 0.5691, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4096, predictive_accuracy: 0.4309, prior_entropy: 0.9135, recall: 0.4309, relative_absolute_error: 1.2898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7544, root_relative_squared_error: 1.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.6094, kappa: 0.1148, kb_relative_information_score: 1052.2506, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6094, predictive_accuracy: 0.6094, prior_entropy: 0.9135, recall: 0.6094, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.625, root_relative_squared_error: 1.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.778, kappa: 0.4826, kb_relative_information_score: 7773.3463, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7875, predictive_accuracy: 0.7905, prior_entropy: 0.9135, recall: 0.7905, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6225, kappa: 0.1446, kb_relative_information_score: 1536.7614, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6226, predictive_accuracy: 0.6225, prior_entropy: 0.9135, recall: 0.6225, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.8102, kappa: 0.5687, kb_relative_information_score: 8525.1734, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8098, predictive_accuracy: 0.8108, prior_entropy: 0.9135, recall: 0.8108, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.435, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8925, kappa: 0.7571, kb_relative_information_score: 11542.0289, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.893, predictive_accuracy: 0.8921, prior_entropy: 0.9135, recall: 0.8921, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7131, kappa: 0.3502, kb_relative_information_score: 4894.9225, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7133, predictive_accuracy: 0.713, prior_entropy: 0.9135, recall: 0.713, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8386, kappa: 0.6437, kb_relative_information_score: 9444.0732, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8475, predictive_accuracy: 0.8356, prior_entropy: 0.9135, recall: 0.8356, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7773, kappa: 0.4821, kb_relative_information_score: 7668.3292, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7826, predictive_accuracy: 0.7877, prior_entropy: 0.9135, recall: 0.7877, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3805, f_measure: 0.4534, kappa: -0.239, kb_relative_information_score: -4735.6248, mean_absolute_error: 0.5466, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4533, predictive_accuracy: 0.4534, prior_entropy: 0.9135, recall: 0.4534, relative_absolute_error: 1.2388, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7393, root_relative_squared_error: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8322, kappa: 0.6316, kb_relative_information_score: 9186.3039, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8438, predictive_accuracy: 0.8286, prior_entropy: 0.9135, recall: 0.8286, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.6148, kappa: 0.1282, kb_relative_information_score: 1233.6438, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6153, predictive_accuracy: 0.6143, prior_entropy: 0.9135, recall: 0.6143, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.6155, kappa: 0.1297, kb_relative_information_score: 1264.6716, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.616, predictive_accuracy: 0.6151, prior_entropy: 0.9135, recall: 0.6151, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6204, root_relative_squared_error: 1.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.648, kappa: 0.2, kb_relative_information_score: 5147.9183, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7658, predictive_accuracy: 0.7198, prior_entropy: 0.9135, recall: 0.7198, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8496, kappa: 0.6673, kb_relative_information_score: 9864.1417, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8576, predictive_accuracy: 0.8469, prior_entropy: 0.9135, recall: 0.8469, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8988, kappa: 0.7725, kb_relative_information_score: 11759.2234, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9004, predictive_accuracy: 0.898, prior_entropy: 0.9135, recall: 0.898, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7712, kappa: 0.4724, kb_relative_information_score: 7253.0342, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7703, predictive_accuracy: 0.7765, prior_entropy: 0.9135, recall: 0.7765, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8993, kappa: 0.7731, kb_relative_information_score: 11790.2512, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9002, predictive_accuracy: 0.8988, prior_entropy: 0.9135, recall: 0.8988, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8372, kappa: 0.6414, kb_relative_information_score: 9386.7912, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8471, predictive_accuracy: 0.834, prior_entropy: 0.9135, recall: 0.834, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3188, f_measure: 0.3996, kappa: -0.3641, kb_relative_information_score: -6676.0548, mean_absolute_error: 0.5989, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3981, predictive_accuracy: 0.4011, prior_entropy: 0.9135, recall: 0.4011, relative_absolute_error: 1.3573, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7739, root_relative_squared_error: 1.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8399, kappa: 0.6464, kb_relative_information_score: 9496.5818, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8485, predictive_accuracy: 0.837, prior_entropy: 0.9135, recall: 0.837, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.316, f_measure: 0.3964, kappa: -0.3679, kb_relative_information_score: -6850.2878, mean_absolute_error: 0.6036, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3964, predictive_accuracy: 0.3964, prior_entropy: 0.9135, recall: 0.3964, relative_absolute_error: 1.3679, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7769, root_relative_squared_error: 1.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8524, kappa: 0.6736, kb_relative_information_score: 9971.5456, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8603, predictive_accuracy: 0.8498, prior_entropy: 0.9135, recall: 0.8498, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9022, kappa: 0.779, kb_relative_information_score: 11902.4286, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9026, predictive_accuracy: 0.9018, prior_entropy: 0.9135, recall: 0.9018, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8389, kappa: 0.6445, kb_relative_information_score: 9458.3937, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8479, predictive_accuracy: 0.836, prior_entropy: 0.9135, recall: 0.836, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8824, kappa: 0.736, kb_relative_information_score: 11145.8279, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8844, predictive_accuracy: 0.8814, prior_entropy: 0.9135, recall: 0.8814, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8972, kappa: 0.7677, kb_relative_information_score: 11721.0353, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8976, predictive_accuracy: 0.8969, prior_entropy: 0.9135, recall: 0.8969, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.6299, kappa: 0.1613, kb_relative_information_score: 1811.2379, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6299, predictive_accuracy: 0.6298, prior_entropy: 0.9135, recall: 0.6298, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5693, kappa: 0.053, kb_relative_information_score: 3830.4308, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7718, predictive_accuracy: 0.6843, prior_entropy: 0.9135, recall: 0.6843, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8337, kappa: 0.6347, kb_relative_information_score: 9245.9727, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7, kappa: 0.3201, kb_relative_information_score: 4415.1852, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9135, recall: 0.7, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3164, f_measure: 0.3967, kappa: -0.3672, kb_relative_information_score: -6840.7408, mean_absolute_error: 0.6033, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3967, predictive_accuracy: 0.3967, prior_entropy: 0.9135, recall: 0.3967, relative_absolute_error: 1.3674, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7768, root_relative_squared_error: 1.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.6175, kappa: 0.1331, kb_relative_information_score: 1350.5947, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6175, predictive_accuracy: 0.6174, prior_entropy: 0.9135, recall: 0.6174, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8865, kappa: 0.7447, kb_relative_information_score: 11305.7404, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8879, predictive_accuracy: 0.8858, prior_entropy: 0.9135, recall: 0.8858, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8685, kappa: 0.7057, kb_relative_information_score: 10611.1953, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8716, predictive_accuracy: 0.867, prior_entropy: 0.9135, recall: 0.867, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8914, kappa: 0.755, kb_relative_information_score: 11496.6806, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8922, predictive_accuracy: 0.8909, prior_entropy: 0.9135, recall: 0.8909, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8323, kappa: 0.632, kb_relative_information_score: 9191.0774, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8441, predictive_accuracy: 0.8288, prior_entropy: 0.9135, recall: 0.8288, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8453, kappa: 0.6577, kb_relative_information_score: 9706.616, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.853, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3277, f_measure: 0.4067, kappa: -0.3448, kb_relative_information_score: -6466.0206, mean_absolute_error: 0.5932, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4066, predictive_accuracy: 0.4068, prior_entropy: 0.9135, recall: 0.4068, relative_absolute_error: 1.3445, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7702, root_relative_squared_error: 1.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8785, kappa: 0.7269, kb_relative_information_score: 11005.0095, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8801, predictive_accuracy: 0.8776, prior_entropy: 0.9135, recall: 0.8776, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7586, kappa: 0.4425, kb_relative_information_score: 6828.1922, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7578, predictive_accuracy: 0.7651, prior_entropy: 0.9135, recall: 0.7651, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7813, kappa: 0.5043, kb_relative_information_score: 7434.4274, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9135, recall: 0.7814, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9954,

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