OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6416 runs submitted
0 likes downloaded by 1 people , 4 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

6416 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: 0.9608, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 25.685, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9127, kappa: 0.8096, kb_relative_information_score: 40.0328, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8388, kappa: 0.641, kb_relative_information_score: 18.4184, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8429, kappa: 0.6573, kb_relative_information_score: 32.3797, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8443, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 14.9207, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.1037, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.808, kappa: 0.5812, kb_relative_information_score: 14.4714, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8096, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, kb_relative_information_score: 1.9682, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 27.1164, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8058, kappa: 0.5714, kb_relative_information_score: 19.8527, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8052, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 18.6938, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.849, kappa: 0.6607, kb_relative_information_score: 17.819, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8846, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, kb_relative_information_score: 0.1056, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8275, kappa: 0.6318, kb_relative_information_score: 34.1128, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8386, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8263, kappa: 0.6235, kb_relative_information_score: 27.0842, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8301, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 35.9199, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7434, kappa: 0.4269, kb_relative_information_score: 10.9203, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7987, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6194, kappa: 0.1864, kb_relative_information_score: 9.0866, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7956, predictive_accuracy: 0.7018, prior_entropy: 0.9393, recall: 0.7018, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7669, kappa: 0.4779, kb_relative_information_score: 10.9221, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.813, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.5499, kappa: 0.064, kb_relative_information_score: 8.1723, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7798, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 26.195, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 7.0162, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7916, kappa: 0.5482, kb_relative_information_score: 13.2843, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7956, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 24.3325, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 35.2392, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 30.3581, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 31.7553, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8107, kappa: 0.5994, kb_relative_information_score: -2.9047, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8269, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, kb_relative_information_score: 7.8573, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8388, kappa: 0.641, kb_relative_information_score: 24.5843, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, kb_relative_information_score: 0.346, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 33.3673, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 28.8488, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.9279, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.7385, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7916, kappa: 0.5482, kb_relative_information_score: 12.3403, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7956, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 25.0286, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 31.2012, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: 3.268, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 37.1067, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 17.4426, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, kb_relative_information_score: 6.1561, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 32.3914, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, kb_relative_information_score: 8.5802, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 27.5109, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 20.8214, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 27.0294, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, kb_relative_information_score: 0.5945, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 31.6244, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.862, kappa: 0.7054, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8729, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7341, kappa: 0.4114, kb_relative_information_score: 11.194, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8312, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, kb_relative_information_score: 0.229, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 26.4557, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 31.8177, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 14.8387, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 37.7411, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 17.6096, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 35.7138, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 36.388, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.862, kappa: 0.7054, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8729, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.862, kappa: 0.7054, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8729, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7788, kappa: 0.5036, kb_relative_information_score: 9.3416, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7889, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, kb_relative_information_score: 1.0662, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.2721, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8112, kappa: 0.5759, kb_relative_information_score: 17.7494, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8409, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.3458, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8223, kappa: 0.6058, kb_relative_information_score: 29.7273, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8222, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 28.1867, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, kb_relative_information_score: -0.2048, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8283, kappa: 0.6397, kb_relative_information_score: 35.1685, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8502, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7895, kappa: 0.5275, kb_relative_information_score: 13.3816, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.827, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 21.51, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.7993, kappa: 0.5505, kb_relative_information_score: 18.6091, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8062, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 38.5046, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8388, kappa: 0.641, kb_relative_information_score: 22.6818, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 26.4094, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.8898, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kb_relative_information_score: 1.398, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.457, number_of_instances: 57, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9847,

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