OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 57 Supervised Classification ionosphere 1206 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

1206 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: 0.8044, f_measure: 0.8619, kappa: 0.6947, kb_relative_information_score: 241.8633, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8696, predictive_accuracy: 0.8661, prior_entropy: 0.9425, recall: 0.8661, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7491, scimark_benchmark: 1918.4916, usercpu_time_millis: 2203.125, usercpu_time_millis_training: 2203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8504, kappa: 0.6685, kb_relative_information_score: 221.399, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8683, predictive_accuracy: 0.8576, prior_entropy: 0.9425, recall: 0.8576, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7531, scimark_benchmark: 1931.8468, usercpu_time_millis: 1718.75, usercpu_time_millis_training: 1718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8661, kappa: 0.7033, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8817, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464, scimark_benchmark: 1670.334, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9211, kappa: 0.8259, kb_relative_information_score: 290.0721, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9284, predictive_accuracy: 0.9231, prior_entropy: 0.9425, recall: 0.9231, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5782, scimark_benchmark: 1742.8208, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5008, kb_relative_information_score: 67.5772, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5991, root_relative_squared_error: 1.249, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8551, kappa: 0.6793, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8658, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, scimark_benchmark: 1377.4309, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8551, kappa: 0.6793, kb_relative_information_score: 234.9599, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8658, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7479, scimark_benchmark: 1416.417, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 214.0987, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172, scimark_benchmark: 1266.2221, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8697, kappa: 0.7115, kb_relative_information_score: 251.8659, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8823, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7381, scimark_benchmark: 1360.9773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8587, kappa: 0.6876, kb_relative_information_score: 242.8763, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8671, predictive_accuracy: 0.8632, prior_entropy: 0.9425, recall: 0.8632, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7709, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8334, kappa: 0.6305, kb_relative_information_score: 213.975, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8591, predictive_accuracy: 0.8433, prior_entropy: 0.9425, recall: 0.8433, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.768, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8722, kappa: 0.7188, kb_relative_information_score: 240.7167, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.875, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6783, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9453, kappa: 0.8801, kb_relative_information_score: 293.5896, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9468, predictive_accuracy: 0.9459, prior_entropy: 0.9425, recall: 0.9459, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4844, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8719, kappa: 0.7219, kb_relative_information_score: 225.8314, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.872, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.704, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8994, kappa: 0.7799, kb_relative_information_score: 240.4753, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8998, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6065, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 260.1738, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4749, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8835, kappa: 0.7475, kb_relative_information_score: 252.1374, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8839, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6988, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8962, kappa: 0.7724, kb_relative_information_score: 263.5885, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8973, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6434, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 214.0987, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8697, kappa: 0.7115, kb_relative_information_score: 251.8659, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8823, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7381, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8587, kappa: 0.6876, kb_relative_information_score: 242.8763, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8671, predictive_accuracy: 0.8632, prior_entropy: 0.9425, recall: 0.8632, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7709, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8346, kappa: 0.6333, kb_relative_information_score: 212.7133, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8548, predictive_accuracy: 0.8433, prior_entropy: 0.9425, recall: 0.8433, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7791, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8722, kappa: 0.7188, kb_relative_information_score: 240.7167, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.875, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6783, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9453, kappa: 0.8801, kb_relative_information_score: 293.5896, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9468, predictive_accuracy: 0.9459, prior_entropy: 0.9425, recall: 0.9459, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4844, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8744, kappa: 0.7267, kb_relative_information_score: 232.517, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8743, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6914, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8827, kappa: 0.744, kb_relative_information_score: 233.5615, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8825, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6423, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 260.8528, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4774, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8835, kappa: 0.7475, kb_relative_information_score: 252.1374, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8839, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6988, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8964, kappa: 0.7732, kb_relative_information_score: 263.3526, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.897, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6459, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9453, kappa: 0.8801, kb_relative_information_score: 293.5896, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9468, predictive_accuracy: 0.9459, prior_entropy: 0.9425, recall: 0.9459, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4844, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8412, kappa: 0.6479, kb_relative_information_score: 218.6055, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8594, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7581, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.928, kappa: 0.8422, kb_relative_information_score: 283.3835, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5128, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8945, kappa: 0.7706, kb_relative_information_score: 245.0881, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6367, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8542, kappa: 0.6769, kb_relative_information_score: 215.2743, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8688, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6998, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8482, kappa: 0.6652, kb_relative_information_score: 202.1932, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8522, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7015, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8697, kappa: 0.7115, kb_relative_information_score: 251.8659, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8823, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7381, scimark_benchmark: 971.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8677, kappa: 0.7076, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8758, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8884, kappa: 0.7564, kb_relative_information_score: 238.0036, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8883, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6535, scimark_benchmark: 814.443, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9249, kappa: 0.835, kb_relative_information_score: 274.6738, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9271, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5828, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8949, kappa: 0.7682, kb_relative_information_score: 243.7687, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9006, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7028, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8697, kappa: 0.7115, kb_relative_information_score: 231.8192, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8823, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6562, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8367, kappa: 0.6379, kb_relative_information_score: 207.855, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8613, predictive_accuracy: 0.8462, prior_entropy: 0.9425, recall: 0.8462, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7447, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8902, kappa: 0.7569, kb_relative_information_score: 254.5357, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9053, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6129, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8334, kappa: 0.6305, kb_relative_information_score: 224.9372, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8591, predictive_accuracy: 0.8433, prior_entropy: 0.9425, recall: 0.8433, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7045, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.475, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 3.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 3.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.204, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.038, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 2.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.045, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 2.997, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 2.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.036, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.791, kappa: 0.5376, kb_relative_information_score: 200.1752, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8364, predictive_accuracy: 0.8091, prior_entropy: 0.9425, recall: 0.8091, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9423, kappa: 0.8735, kb_relative_information_score: 305.8041, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.8622, kappa: 0.6958, kb_relative_information_score: 245.1237, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8686, predictive_accuracy: 0.8661, prior_entropy: 0.9425, recall: 0.8661, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7628, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8587, kappa: 0.6876, kb_relative_information_score: 242.8763, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8671, predictive_accuracy: 0.8632, prior_entropy: 0.9425, recall: 0.8632, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7709, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8907, kappa: 0.7606, kb_relative_information_score: 240.3171, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8912, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6158, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.893, kappa: 0.7648, kb_relative_information_score: 240.0444, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.895, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6143, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9213, kappa: 0.8265, kb_relative_information_score: 278.9551, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9272, predictive_accuracy: 0.9231, prior_entropy: 0.9425, recall: 0.9231, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.533, scimark_benchmark: 1732.2066, usercpu_time_millis: 265.2017, usercpu_time_millis_training: 265.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9015, kappa: 0.7835, kb_relative_information_score: 271.3627, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9041, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6124, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8835, kappa: 0.7475, kb_relative_information_score: 252.1374, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8839, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6988, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8559, kappa: 0.6805, kb_relative_information_score: 242.8763, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8769, predictive_accuracy: 0.8632, prior_entropy: 0.9425, recall: 0.8632, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5008, kb_relative_information_score: 67.5772, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5991, root_relative_squared_error: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5008, kb_relative_information_score: 67.5772, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5991, root_relative_squared_error: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.335, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.044, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.417, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.8144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5451, usercpu_time_millis: 3.429, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.036, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9026, kappa: 0.7873, kb_relative_information_score: 266.993, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9026, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6137, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 267.0835, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.474, scimark_benchmark: 1850.8887, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9282, kappa: 0.8428, kb_relative_information_score: 260.0092, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4765, scimark_benchmark: 1851.1033, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9155, kappa: 0.8136, kb_relative_information_score: 284.1816, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9212, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5974, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.895, kappa: 0.7729, kb_relative_information_score: 262.9756, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8958, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6259, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.895, kappa: 0.7729, kb_relative_information_score: 262.9756, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8958, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6259, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 214.0987, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.5008, kb_relative_information_score: -0.2061, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.5008, kb_relative_information_score: -0.2061, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 214.0987, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.5008, kb_relative_information_score: -0.2061, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 267.0835, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.474, scimark_benchmark: 1336.8944, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.895, kappa: 0.7729, kb_relative_information_score: 262.9756, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8958, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6259, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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