Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 6 people , 8 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 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: 0.7895, f_measure: 0.7449, kappa: 0.4853, kb_relative_information_score: 963.8443, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7466, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1209.2631, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.385, kappa: 0.0003, kb_relative_information_score: 1.5849, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5095, predictive_accuracy: 0.542, prior_entropy: 0.9948, recall: 0.542, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7851, kappa: 0.5669, kb_relative_information_score: 1522.9035, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.785, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7579, kappa: 0.5127, kb_relative_information_score: 1206.577, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6929, kappa: 0.3821, kb_relative_information_score: 520.561, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7007, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3811, kappa: -0.0011, kb_relative_information_score: 4.1726, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2939, predictive_accuracy: 0.5417, prior_entropy: 0.9948, recall: 0.5417, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6902, kappa: 0.3768, kb_relative_information_score: 519.1799, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6986, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.446, kappa: 0.0563, kb_relative_information_score: 136.4389, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6414, predictive_accuracy: 0.5644, prior_entropy: 0.9948, recall: 0.5644, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7478, kappa: 0.4915, kb_relative_information_score: 1258.7721, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6135, kappa: 0.2367, kb_relative_information_score: 509.9964, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.641, predictive_accuracy: 0.6329, prior_entropy: 0.9948, recall: 0.6329, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 943.6051, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7476, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6929, kappa: 0.3821, kb_relative_information_score: 526.1681, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7007, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.3813, kb_relative_information_score: 2.3855, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7321, kappa: 0.4595, kb_relative_information_score: 783.7689, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7346, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8967, scimark_benchmark: 1190.2254, usercpu_time_millis: 2417.707, usercpu_time_millis_testing: 31.597, usercpu_time_millis_training: 2386.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7639, kappa: 0.5238, kb_relative_information_score: 1353.8042, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8187, scimark_benchmark: 1191.0267, usercpu_time_millis: 2524.168, usercpu_time_millis_testing: 40.234, usercpu_time_millis_training: 2483.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.5389, kappa: 0.1574, kb_relative_information_score: 320.8354, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6619, predictive_accuracy: 0.6054, prior_entropy: 0.9948, recall: 0.6054, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9584, scimark_benchmark: 1186.4873, usercpu_time_millis: 2968.399, usercpu_time_millis_testing: 50.328, usercpu_time_millis_training: 2918.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7101, kappa: 0.4149, kb_relative_information_score: 815.2943, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8888, scimark_benchmark: 1193.1533, usercpu_time_millis: 3363.128, usercpu_time_millis_testing: 52.146, usercpu_time_millis_training: 3310.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.5496, kappa: 0.1786, kb_relative_information_score: 432.5654, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6865, predictive_accuracy: 0.6156, prior_entropy: 0.9948, recall: 0.6156, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9453, scimark_benchmark: 1189.9595, usercpu_time_millis: 3390.097, usercpu_time_millis_testing: 47.991, usercpu_time_millis_training: 3342.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6971, kappa: 0.3902, kb_relative_information_score: 529.7469, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7042, predictive_accuracy: 0.7019, prior_entropy: 0.9948, recall: 0.7019, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413, scimark_benchmark: 1191.8928, usercpu_time_millis: 3622.336, usercpu_time_millis_testing: 21.899, usercpu_time_millis_training: 3600.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.4378, kappa: 0.0493, kb_relative_information_score: 116.677, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6445, predictive_accuracy: 0.5617, prior_entropy: 0.9948, recall: 0.5617, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9861, scimark_benchmark: 1193.2391, usercpu_time_millis: 3789.791, usercpu_time_millis_testing: 61.902, usercpu_time_millis_training: 3727.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.6934, kappa: 0.3832, kb_relative_information_score: 525.0377, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1190.925, usercpu_time_millis: 3925.104, usercpu_time_millis_testing: 24.546, usercpu_time_millis_training: 3900.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.6698, kappa: 0.3524, kb_relative_information_score: 856.0379, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.6897, prior_entropy: 0.9948, recall: 0.6897, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8859, scimark_benchmark: 1189.4445, usercpu_time_millis: 3959.693, usercpu_time_millis_testing: 58.404, usercpu_time_millis_training: 3901.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6781, kappa: 0.3514, kb_relative_information_score: 601.6016, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.683, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1185.0002, usercpu_time_millis: 5406.274, usercpu_time_millis_testing: 23.387, usercpu_time_millis_training: 5382.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1839.0801, usercpu_time_millis: 83.636, usercpu_time_millis_testing: 83.064, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1841.2811, usercpu_time_millis: 84.711, usercpu_time_millis_testing: 84.145, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1836.2249, usercpu_time_millis: 85.239, usercpu_time_millis_testing: 84.658, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1839.272, usercpu_time_millis: 88.524, usercpu_time_millis_testing: 87.938, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1838.622, usercpu_time_millis: 97.188, usercpu_time_millis_testing: 96.61, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1843.7454, usercpu_time_millis: 97.284, usercpu_time_millis_testing: 96.695, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1842.1882, usercpu_time_millis: 97.394, usercpu_time_millis_testing: 96.817, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1835.778, usercpu_time_millis: 98.556, usercpu_time_millis_testing: 97.963, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1842.6464, usercpu_time_millis: 98.436, usercpu_time_millis_testing: 97.866, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1840.1791, usercpu_time_millis: 98.766, usercpu_time_millis_testing: 98.185, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1844.2035, usercpu_time_millis: 101.725, usercpu_time_millis_testing: 101.131, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1837.1638, usercpu_time_millis: 103.833, usercpu_time_millis_testing: 103.247, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1847.3406, usercpu_time_millis: 107.343, usercpu_time_millis_testing: 106.764, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1831.7864, usercpu_time_millis: 110.215, usercpu_time_millis_testing: 109.624, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1837.586, usercpu_time_millis: 75.731, usercpu_time_millis_testing: 75.171, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1838.168, usercpu_time_millis: 78.621, usercpu_time_millis_testing: 78.048, usercpu_time_millis_training: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1832.6275, usercpu_time_millis: 81.78, usercpu_time_millis_testing: 81.193, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1836.6789, usercpu_time_millis: 85.667, usercpu_time_millis_testing: 85.088, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1853.9121, usercpu_time_millis: 84.038, usercpu_time_millis_testing: 83.465, usercpu_time_millis_training: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1841.6688, usercpu_time_millis: 85.823, usercpu_time_millis_testing: 85.236, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1842.3188, usercpu_time_millis: 87.085, usercpu_time_millis_testing: 86.515, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1836.2249, usercpu_time_millis: 87.015, usercpu_time_millis_testing: 86.452, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1847.3406, usercpu_time_millis: 88.212, usercpu_time_millis_testing: 87.626, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1851.9726, usercpu_time_millis: 86.37, usercpu_time_millis_testing: 85.79, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1832.6275, usercpu_time_millis: 88.146, usercpu_time_millis_testing: 87.55, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1841.6104, usercpu_time_millis: 88.366, usercpu_time_millis_testing: 87.782, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1838.1026, usercpu_time_millis: 89.437, usercpu_time_millis_testing: 88.845, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1842.7093, usercpu_time_millis: 88.685, usercpu_time_millis_testing: 88.099, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1834.111, usercpu_time_millis: 90.078, usercpu_time_millis_testing: 89.508, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1837.132, usercpu_time_millis: 87.682, usercpu_time_millis_testing: 87.095, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1839.7911, usercpu_time_millis: 89.587, usercpu_time_millis_testing: 89.01, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1836.1651, usercpu_time_millis: 89.955, usercpu_time_millis_testing: 89.374, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1845.7835, usercpu_time_millis: 89.657, usercpu_time_millis_testing: 89.091, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1842.7105, usercpu_time_millis: 90.866, usercpu_time_millis_testing: 90.294, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1838.2372, usercpu_time_millis: 89.467, usercpu_time_millis_testing: 88.879, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1838.7526, usercpu_time_millis: 92.229, usercpu_time_millis_testing: 91.648, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1839.7252, usercpu_time_millis: 91.57, usercpu_time_millis_testing: 90.999, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1829.6946, usercpu_time_millis: 91.216, usercpu_time_millis_testing: 90.637, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1836.6789, usercpu_time_millis: 94.81, usercpu_time_millis_testing: 94.232, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1834.8156, usercpu_time_millis: 94.919, usercpu_time_millis_testing: 94.349, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1845.181, usercpu_time_millis: 95.433, usercpu_time_millis_testing: 94.858, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1839.7313, usercpu_time_millis: 95.744, usercpu_time_millis_testing: 95.169, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1838.1026, usercpu_time_millis: 96.065, usercpu_time_millis_testing: 95.498, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1842.1882, usercpu_time_millis: 96.169, usercpu_time_millis_testing: 95.598, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1835.0917, usercpu_time_millis: 95.213, usercpu_time_millis_testing: 94.629, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1718.2275, usercpu_time_millis: 93.833, usercpu_time_millis_testing: 93.251, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1833.6579, usercpu_time_millis: 96.045, usercpu_time_millis_testing: 95.466, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1837.586, usercpu_time_millis: 96.71, usercpu_time_millis_testing: 96.139, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1839.0801, usercpu_time_millis: 96.472, usercpu_time_millis_testing: 95.899, usercpu_time_millis_training: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1836.7415, usercpu_time_millis: 97.027, usercpu_time_millis_testing: 96.44, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1844.2035, usercpu_time_millis: 96.864, usercpu_time_millis_testing: 96.277, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1847.3406, usercpu_time_millis: 97.195, usercpu_time_millis_testing: 96.62, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1842.1882, usercpu_time_millis: 95.558, usercpu_time_millis_testing: 94.971, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1837.2609, usercpu_time_millis: 97.361, usercpu_time_millis_testing: 96.783, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1851.8567, usercpu_time_millis: 95.802, usercpu_time_millis_testing: 95.224, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1837.6486, usercpu_time_millis: 97.491, usercpu_time_millis_testing: 96.898, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1847.3406, usercpu_time_millis: 97.682, usercpu_time_millis_testing: 97.094, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1837.2609, usercpu_time_millis: 98.696, usercpu_time_millis_testing: 98.11, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1836.7415, usercpu_time_millis: 99.443, usercpu_time_millis_testing: 98.863, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1840.7617, usercpu_time_millis: 99.951, usercpu_time_millis_testing: 99.38, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1832.2404, usercpu_time_millis: 99.43, usercpu_time_millis_testing: 98.844, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1844.2676, usercpu_time_millis: 98.462, usercpu_time_millis_testing: 97.724, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1842.1882, usercpu_time_millis: 98.278, usercpu_time_millis_testing: 97.694, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1844.2676, usercpu_time_millis: 100.548, usercpu_time_millis_testing: 99.986, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1837.2609, usercpu_time_millis: 101.051, usercpu_time_millis_testing: 100.321, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1847.289, usercpu_time_millis: 101.224, usercpu_time_millis_testing: 100.657, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1844.8764, usercpu_time_millis: 99.148, usercpu_time_millis_testing: 98.569, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1819.3332, usercpu_time_millis: 99.405, usercpu_time_millis_testing: 98.824, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1469.4768, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1856.6531, usercpu_time_millis: 100.772, usercpu_time_millis_testing: 100.196, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1835.2642, usercpu_time_millis: 102.92, usercpu_time_millis_testing: 102.339, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1844.2676, usercpu_time_millis: 102.724, usercpu_time_millis_testing: 102.141, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1836.1651, usercpu_time_millis: 103.958, usercpu_time_millis_testing: 103.39, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1835.1963, usercpu_time_millis: 102.778, usercpu_time_millis_testing: 102.204, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1842.1882, usercpu_time_millis: 103.721, usercpu_time_millis_testing: 103.149, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1837.7149, usercpu_time_millis: 104.829, usercpu_time_millis_testing: 104.249, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1836.1651, usercpu_time_millis: 105.143, usercpu_time_millis_testing: 104.576, usercpu_time_millis_training: 0.567,

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