OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23405 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

23405 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: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.3354, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.5733, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, kappa: 0.2377, kb_relative_information_score: 145.2202, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4899, prior_entropy: 1.7898, recall: 0.4899, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 713.7875, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9464, kappa: 0.922, kb_relative_information_score: 707.9235, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.8302, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.4658, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9287, kappa: 0.8963, kb_relative_information_score: 754.8246, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.5249, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.2196, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 705.0865, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.961, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 715.8761, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.7645, kappa: 0.6521, kb_relative_information_score: 538.3868, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7706, predictive_accuracy: 0.7634, prior_entropy: 1.7898, recall: 0.7634, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.9077, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 691.5254, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9634, kappa: 0.9463, kb_relative_information_score: 776.4371, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9652, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8836, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9535, kappa: 0.9324, kb_relative_information_score: 736.3754, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9545, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.5455, kappa: 0.3789, kb_relative_information_score: 270.8345, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5999, predictive_accuracy: 0.5755, prior_entropy: 1.7898, recall: 0.5755, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.3832, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 713.9293, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9578, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 806.6219, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.1721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 714.3628, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9826, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, kb_relative_information_score: 2.2923, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9535, kappa: 0.9324, kb_relative_information_score: 748.011, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9542, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.6068, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9534, kappa: 0.9323, kb_relative_information_score: 705.8913, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9542, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9312, kappa: 0.8999, kb_relative_information_score: 85.1197, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9315, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9489, kappa: 0.9255, kb_relative_information_score: 715.754, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9492, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 818.9299, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9571, kappa: 0.9379, kb_relative_information_score: 765.4644, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9702, kappa: 0.9566, kb_relative_information_score: 680.9844, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9705, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: 0.0011, kb_relative_information_score: 2.6638, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3627, prior_entropy: 1.7898, recall: 0.3627, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 816.5966, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.7506, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.8844, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1157, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 2.0408, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.4284, kappa: 0.2502, kb_relative_information_score: 118.6629, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4622, predictive_accuracy: 0.4863, prior_entropy: 1.7898, recall: 0.4863, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.8277, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 715.5558, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, kappa: 0.3393, kb_relative_information_score: 354.2693, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.5045, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 725.0684, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.4474, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 34.0585, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 1.0576, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.42, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.7173, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 709.788, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, kappa: -0.0005, kb_relative_information_score: 2.942, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3591, prior_entropy: 1.7898, recall: 0.3591, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.8807, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 803.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 703.8894, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.9993, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9451, kappa: 0.9202, kb_relative_information_score: 725.7622, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9462, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.755, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9546, kappa: 0.9341, kb_relative_information_score: 728.5607, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9556, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 745.2651, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 706.1295, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9518, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9595, kappa: 0.941, kb_relative_information_score: 702.5118, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.4531, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9751, kappa: 0.9638, kb_relative_information_score: 718.0618, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9756, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.805, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 716.0958, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.4226, kappa: 0.1424, kb_relative_information_score: 119.1198, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4308, predictive_accuracy: 0.4304, prior_entropy: 1.7898, recall: 0.4304, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.7178, kappa: 0.6072, kb_relative_information_score: 330.5607, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8473, predictive_accuracy: 0.7467, prior_entropy: 1.7898, recall: 0.7467, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 3.187, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 699.2762, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.9835, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.5727, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, kb_relative_information_score: 1.9311, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 734.9757, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9579, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.511, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.458, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9891, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.9309, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9477, kappa: 0.9237, kb_relative_information_score: 714.1373, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9481, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 718.9561, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, kappa: 0.2549, kb_relative_information_score: 148.562, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.503, prior_entropy: 1.7898, recall: 0.503, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7326, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 732.8044, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9636, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8618, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9324, kappa: 0.9015, kb_relative_information_score: 762.0915, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9328, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9798, kappa: 0.9705, kb_relative_information_score: 712.3855, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9763, kappa: 0.9654, kb_relative_information_score: 737.5885, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9767, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 710.4594, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 648.8177, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.3029, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9475, kappa: 0.9238, kb_relative_information_score: 751.7438, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9481, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9773, kappa: 0.967, kb_relative_information_score: 644.5099, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9631, kappa: 0.9466, kb_relative_information_score: 770.1963, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9642, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9596, kappa: 0.9412, kb_relative_information_score: 86.3174, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9512, kappa: 0.929, kb_relative_information_score: 784.3032, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, kappa: 0.7283, kb_relative_information_score: 337.6842, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8216, prior_entropy: 1.7898, recall: 0.8216, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 716.5345, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9357, kappa: 0.9067, kb_relative_information_score: 737.3666, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9363, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kappa: 0.0006, kb_relative_information_score: 1.8298, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 725.1984, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9323, kappa: 0.9016, kb_relative_information_score: 761.8685, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9325, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4441,

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