OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24833 runs submitted
0 likes downloaded by 2 people , 6 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24833 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: 0.7022, f_measure: 0.6432, kappa: 0.3845, kb_relative_information_score: 0.3826, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6829, predictive_accuracy: 0.6384, prior_entropy: 1.3181, recall: 0.6384, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.491, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7336, kappa: 0.5343, kb_relative_information_score: 0.524, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7632, predictive_accuracy: 0.7312, prior_entropy: 1.3181, recall: 0.7312, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, kappa: 0.7715, kb_relative_information_score: 0.7075, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8768, prior_entropy: 1.3181, recall: 0.8768, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, kappa: 0.454, kb_relative_information_score: 0.4465, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7056, prior_entropy: 1.3181, recall: 0.7056, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.5716, kappa: 0.2609, kb_relative_information_score: 0.2646, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5933, predictive_accuracy: 0.568, prior_entropy: 1.3181, recall: 0.568, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9386, kappa: 0.8912, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9402, predictive_accuracy: 0.9376, prior_entropy: 1.3181, recall: 0.9376, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2715, kappa: -0.457, kb_relative_information_score: -0.3022, mean_absolute_error: 0.5237, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.2144, prior_entropy: 1.3181, recall: 0.2144, relative_absolute_error: 1.3791, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.7237, root_relative_squared_error: 1.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, kappa: 0.7715, kb_relative_information_score: 0.7075, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8768, prior_entropy: 1.3181, recall: 0.8768, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, kappa: 0.454, kb_relative_information_score: 0.4465, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7056, prior_entropy: 1.3181, recall: 0.7056, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.4578, kappa: 0.0278, kb_relative_information_score: 0.0974, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5156, predictive_accuracy: 0.4752, prior_entropy: 1.3181, recall: 0.4752, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, kappa: 0.816, kb_relative_information_score: 0.744, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9008, prior_entropy: 1.3181, recall: 0.9008, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9386, kappa: 0.8912, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9402, predictive_accuracy: 0.9376, prior_entropy: 1.3181, recall: 0.9376, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kappa: -0.0059, kb_relative_information_score: 0.0685, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4576, prior_entropy: 1.3181, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, kappa: 0.816, kb_relative_information_score: 0.744, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9008, prior_entropy: 1.3181, recall: 0.9008, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8292, kappa: 0.7137, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8247, predictive_accuracy: 0.8416, prior_entropy: 1.3181, recall: 0.8416, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.325, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8292, kappa: 0.7137, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8247, predictive_accuracy: 0.8416, prior_entropy: 1.3181, recall: 0.8416, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.325, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, kappa: 0.8042, kb_relative_information_score: 0.7343, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3181, recall: 0.8944, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kappa: -0.003, kb_relative_information_score: 0.0709, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4592, prior_entropy: 1.3181, recall: 0.4592, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6004, root_relative_squared_error: 1.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, root_mean_prior_squared_error: 0.4356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8525, kappa: 0.7652, kb_relative_information_score: 0.7062, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8389, predictive_accuracy: 0.8704, prior_entropy: 1.3181, recall: 0.8704, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.5716, kappa: 0.2609, kb_relative_information_score: 0.2646, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5933, predictive_accuracy: 0.568, prior_entropy: 1.3181, recall: 0.568, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8842, kappa: 0.7897, kb_relative_information_score: 0.7633, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8916, predictive_accuracy: 0.8784, prior_entropy: 1.3181, recall: 0.8784, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kappa: -0.0059, kb_relative_information_score: 0.0685, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4576, prior_entropy: 1.3181, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8272, kappa: 0.6964, kb_relative_information_score: 0.6618, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8282, predictive_accuracy: 0.8272, prior_entropy: 1.3181, recall: 0.8272, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.847, kappa: 0.7785, kb_relative_information_score: 0.7123, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8166, predictive_accuracy: 0.88, prior_entropy: 1.3181, recall: 0.88, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, kappa: 0.454, kb_relative_information_score: 0.4465, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7056, prior_entropy: 1.3181, recall: 0.7056, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kappa: -0.0059, kb_relative_information_score: 0.0685, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4576, prior_entropy: 1.3181, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kappa: -0.0059, kb_relative_information_score: 0.0685, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4576, prior_entropy: 1.3181, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, kappa: 0.8279, kb_relative_information_score: 0.7538, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9072, prior_entropy: 1.3181, recall: 0.9072, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9717, kappa: 0.9497, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9728, predictive_accuracy: 0.9712, prior_entropy: 1.3181, recall: 0.9712, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8794, kappa: 0.7909, kb_relative_information_score: 0.7511, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8773, predictive_accuracy: 0.8816, prior_entropy: 1.3181, recall: 0.8816, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.281, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.5716, kappa: 0.2609, kb_relative_information_score: 0.2646, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5933, predictive_accuracy: 0.568, prior_entropy: 1.3181, recall: 0.568, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.3651, kappa: 0.013, kb_relative_information_score: 0.0853, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5154, predictive_accuracy: 0.4672, prior_entropy: 1.3181, recall: 0.4672, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.596, root_relative_squared_error: 1.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, kappa: 0.4629, kb_relative_information_score: 0.4538, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7104, prior_entropy: 1.3181, recall: 0.7104, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7735, kappa: 0.6028, kb_relative_information_score: 0.577, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7727, predictive_accuracy: 0.7744, prior_entropy: 1.3181, recall: 0.7744, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, kappa: 0.816, kb_relative_information_score: 0.744, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9008, prior_entropy: 1.3181, recall: 0.9008, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, kappa: 0.7418, kb_relative_information_score: 0.6831, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3181, recall: 0.8608, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8292, kappa: 0.7137, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8247, predictive_accuracy: 0.8416, prior_entropy: 1.3181, recall: 0.8416, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.325, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, kappa: 0.454, kb_relative_information_score: 0.4465, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7056, prior_entropy: 1.3181, recall: 0.7056, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8098, kappa: 0.7066, kb_relative_information_score: 0.5612, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8546, predictive_accuracy: 0.8416, prior_entropy: 1.3181, recall: 0.8416, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2944, f_measure: 0.1972, kappa: -0.3653, kb_relative_information_score: -0.2622, mean_absolute_error: 0.5259, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.1889, predictive_accuracy: 0.2112, prior_entropy: 1.3181, recall: 0.2112, relative_absolute_error: 1.3847, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.7252, root_relative_squared_error: 1.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, kappa: 0.7626, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.872, prior_entropy: 1.3181, recall: 0.872, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9858, kappa: 0.9748, kb_relative_information_score: 0.9716, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9861, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, kappa: 0.7626, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.872, prior_entropy: 1.3181, recall: 0.872, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6619, kappa: 0.4151, kb_relative_information_score: 0.4209, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7075, predictive_accuracy: 0.6832, prior_entropy: 1.3181, recall: 0.6832, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7951, kappa: 0.6382, kb_relative_information_score: 0.5806, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7968, predictive_accuracy: 0.7936, prior_entropy: 1.3181, recall: 0.7936, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9812, kappa: 0.9664, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9818, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, kappa: 0.7685, kb_relative_information_score: 0.705, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8752, prior_entropy: 1.3181, recall: 0.8752, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9133, kappa: 0.8462, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9148, predictive_accuracy: 0.912, prior_entropy: 1.3181, recall: 0.912, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2715, kappa: -0.457, kb_relative_information_score: -0.3022, mean_absolute_error: 0.5237, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.2144, prior_entropy: 1.3181, recall: 0.2144, relative_absolute_error: 1.3791, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.7237, root_relative_squared_error: 1.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9133, kappa: 0.8462, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9148, predictive_accuracy: 0.912, prior_entropy: 1.3181, recall: 0.912, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.5996, kappa: 0.3132, kb_relative_information_score: 0.3082, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6364, predictive_accuracy: 0.5952, prior_entropy: 1.3181, recall: 0.5952, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.848, kappa: 0.7329, kb_relative_information_score: 0.6978, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 1.3181, recall: 0.848, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, kappa: 0.7656, kb_relative_information_score: 0.7026, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8736, prior_entropy: 1.3181, recall: 0.8736, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, kappa: 0.7656, kb_relative_information_score: 0.7026, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8736, prior_entropy: 1.3181, recall: 0.8736, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, kappa: 0.8042, kb_relative_information_score: 0.7343, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3181, recall: 0.8944, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, kappa: 0.7685, kb_relative_information_score: 0.705, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8752, prior_entropy: 1.3181, recall: 0.8752, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.5996, kappa: 0.3132, kb_relative_information_score: 0.3082, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6364, predictive_accuracy: 0.5952, prior_entropy: 1.3181, recall: 0.5952, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, kappa: 0.7774, kb_relative_information_score: 0.7123, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.88, prior_entropy: 1.3181, recall: 0.88, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9417, kappa: 0.8968, kb_relative_information_score: 0.8948, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9432, predictive_accuracy: 0.9408, prior_entropy: 1.3181, recall: 0.9408, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.848, kappa: 0.7329, kb_relative_information_score: 0.6978, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 1.3181, recall: 0.848, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.848, kappa: 0.7329, kb_relative_information_score: 0.6978, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 1.3181, recall: 0.848, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, kappa: 0.7478, kb_relative_information_score: 0.6879, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.864, prior_entropy: 1.3181, recall: 0.864, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, kappa: 0.7567, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8688, prior_entropy: 1.3181, recall: 0.8688, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, kappa: 0.7507, kb_relative_information_score: 0.6904, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, kappa: 0.7507, kb_relative_information_score: 0.6904, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kappa: 0.8309, kb_relative_information_score: 0.7562, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9088, prior_entropy: 1.3181, recall: 0.9088, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, kappa: 0.7537, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3181, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9789, kappa: 0.9612, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9826, predictive_accuracy: 0.9776, prior_entropy: 1.3181, recall: 0.9776, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6174, kappa: 0.3403, kb_relative_information_score: 0.3325, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6525, predictive_accuracy: 0.6112, prior_entropy: 1.3181, recall: 0.6112, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8121, kappa: 0.6968, kb_relative_information_score: 0.6547, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8289, predictive_accuracy: 0.8352, prior_entropy: 1.3181, recall: 0.8352, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, kappa: 0.0682, kb_relative_information_score: 0.1295, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4976, prior_entropy: 1.3181, recall: 0.4976, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, kappa: 0.7418, kb_relative_information_score: 0.6831, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3181, recall: 0.8608, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6141, kappa: 0.3362, kb_relative_information_score: 0.3301, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6504, predictive_accuracy: 0.6096, prior_entropy: 1.3181, recall: 0.6096, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6141, kappa: 0.3362, kb_relative_information_score: 0.3301, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6504, predictive_accuracy: 0.6096, prior_entropy: 1.3181, recall: 0.6096, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, kappa: 0.0682, kb_relative_information_score: 0.1295, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4976, prior_entropy: 1.3181, recall: 0.4976, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, kappa: 0.0653, kb_relative_information_score: 0.127, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.496, prior_entropy: 1.3181, recall: 0.496, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7822, kappa: 0.6161, kb_relative_information_score: 0.5868, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.784, predictive_accuracy: 0.7808, prior_entropy: 1.3181, recall: 0.7808, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, kappa: 0.8012, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3181, recall: 0.8928, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7822, kappa: 0.6161, kb_relative_information_score: 0.5868, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.784, predictive_accuracy: 0.7808, prior_entropy: 1.3181, recall: 0.7808, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8776,

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