OpenML
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: 0.8374, 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: 1835.1458, usercpu_time_millis: 88.789, usercpu_time_millis_testing: 88.213, usercpu_time_millis_training: 0.576,
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: 1845.147, usercpu_time_millis: 89.803, usercpu_time_millis_testing: 89.218, usercpu_time_millis_training: 0.585,
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: 1841.1085, usercpu_time_millis: 90.752, usercpu_time_millis_testing: 90.207, usercpu_time_millis_training: 0.545,
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: 1848.7762, usercpu_time_millis: 91.793, usercpu_time_millis_testing: 91.255, usercpu_time_millis_training: 0.538,
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: 1844.2676, usercpu_time_millis: 92.701, usercpu_time_millis_testing: 92.153, usercpu_time_millis_training: 0.548,
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: 1841.1596, usercpu_time_millis: 93.185, usercpu_time_millis_testing: 92.626, usercpu_time_millis_training: 0.559,
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: 1800.8311, usercpu_time_millis: 149.714, usercpu_time_millis_testing: 148.742, usercpu_time_millis_training: 0.972,
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: 1843.7454, usercpu_time_millis: 95.086, usercpu_time_millis_testing: 94.523, usercpu_time_millis_training: 0.563,
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: 1798.8977, usercpu_time_millis: 150.589, usercpu_time_millis_testing: 149.692, usercpu_time_millis_training: 0.897,
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: 1847.7988, usercpu_time_millis: 95.837, usercpu_time_millis_testing: 95.282, usercpu_time_millis_training: 0.555,
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: 1847.3406, usercpu_time_millis: 96.125, usercpu_time_millis_testing: 95.564, usercpu_time_millis_training: 0.561,
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: 1840.6384, usercpu_time_millis: 96.191, usercpu_time_millis_testing: 95.638, usercpu_time_millis_training: 0.553,
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: 1836.6789, usercpu_time_millis: 97.429, usercpu_time_millis_testing: 96.835, usercpu_time_millis_training: 0.594,
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: 1797.1142, usercpu_time_millis: 152.263, usercpu_time_millis_testing: 151.363, usercpu_time_millis_training: 0.9,
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: 1844.7258, usercpu_time_millis: 98.152, usercpu_time_millis_testing: 97.584, 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: 1841.2356, usercpu_time_millis: 97.972, usercpu_time_millis_testing: 97.413, usercpu_time_millis_training: 0.559,
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: 1836.0055, usercpu_time_millis: 101.108, usercpu_time_millis_testing: 100.553, usercpu_time_millis_training: 0.555,
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: 1841.2199, usercpu_time_millis: 101.554, usercpu_time_millis_testing: 101.001, usercpu_time_millis_training: 0.553,
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: 1723.1624, usercpu_time_millis: 99.702, usercpu_time_millis_testing: 99.128, usercpu_time_millis_training: 0.574,
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: 1723.9567, usercpu_time_millis: 100.78, usercpu_time_millis_testing: 100.209, usercpu_time_millis_training: 0.571,
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: 1830.6283, usercpu_time_millis: 106.983, usercpu_time_millis_testing: 106.372, usercpu_time_millis_training: 0.611,
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: 1709.8551, usercpu_time_millis: 107.372, usercpu_time_millis_testing: 106.758, usercpu_time_millis_training: 0.614,
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: 1161.0857, usercpu_time_millis: 232.928, usercpu_time_millis_testing: 231.652, usercpu_time_millis_training: 1.276,
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: 1097.5639, usercpu_time_millis: 161.121, usercpu_time_millis_testing: 160.098, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1964.4708, usercpu_time_millis: 517.23, usercpu_time_millis_testing: 5.06, usercpu_time_millis_training: 512.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1972.9344, usercpu_time_millis: 535.31, usercpu_time_millis_testing: 5, usercpu_time_millis_training: 530.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1963.7171, usercpu_time_millis: 534.21, usercpu_time_millis_testing: 5.02, usercpu_time_millis_training: 529.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1997.6734, usercpu_time_millis: 532.12, usercpu_time_millis_testing: 5.05, usercpu_time_millis_training: 527.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 2001.0798, usercpu_time_millis: 533.52, usercpu_time_millis_testing: 4.96, usercpu_time_millis_training: 528.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1968.3509, usercpu_time_millis: 530.16, usercpu_time_millis_testing: 5.03, usercpu_time_millis_training: 525.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2014.5732, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1965.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1970.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1972.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1962.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1967.4589, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1973.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1963.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1994.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, 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: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1970.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1965.7854, usercpu_time_millis: 527.63, usercpu_time_millis_testing: 4.7, usercpu_time_millis_training: 522.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1972.2221, usercpu_time_millis: 529.72, usercpu_time_millis_testing: 4.71, usercpu_time_millis_training: 525.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1979.3332, usercpu_time_millis: 528.79, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1999.3454, usercpu_time_millis: 528.19, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 523.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7202, kappa: 0.4364, kb_relative_information_score: 671.6646, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7263, predictive_accuracy: 0.7241, prior_entropy: 0.9948, recall: 0.7241, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9112, scimark_benchmark: 1739.9247, usercpu_time_millis: 1661.504, usercpu_time_millis_testing: 17.717, usercpu_time_millis_training: 1643.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7249, kappa: 0.4455, kb_relative_information_score: 700.5912, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7303, predictive_accuracy: 0.7283, prior_entropy: 0.9948, recall: 0.7283, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1774.704, usercpu_time_millis: 1795.826, usercpu_time_millis_testing: 19.373, usercpu_time_millis_training: 1776.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7637, kappa: 0.5231, kb_relative_information_score: 1210.777, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1750.255, usercpu_time_millis: 1903.295, usercpu_time_millis_testing: 29.027, usercpu_time_millis_training: 1874.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7424, kappa: 0.4802, kb_relative_information_score: 898.1754, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817, scimark_benchmark: 1823.9603, usercpu_time_millis: 1934.151, usercpu_time_millis_testing: 27.273, usercpu_time_millis_training: 1906.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7358, kappa: 0.467, kb_relative_information_score: 798.9271, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8941, scimark_benchmark: 1825.2653, usercpu_time_millis: 2202.075, usercpu_time_millis_testing: 28.247, usercpu_time_millis_training: 2173.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7276, kappa: 0.4509, kb_relative_information_score: 734.2131, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7323, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9028, scimark_benchmark: 1829.1442, usercpu_time_millis: 2340.783, usercpu_time_millis_testing: 29.075, usercpu_time_millis_training: 2311.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.668, kappa: 0.3306, kb_relative_information_score: 777.1568, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6714, predictive_accuracy: 0.6718, prior_entropy: 0.9948, recall: 0.6718, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9038, scimark_benchmark: 1765.3372, usercpu_time_millis: 2399.906, usercpu_time_millis_testing: 37.906, usercpu_time_millis_training: 2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7668, kappa: 0.53, kb_relative_information_score: 1266.1661, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257, scimark_benchmark: 1748.9625, usercpu_time_millis: 2466.022, usercpu_time_millis_testing: 33.042, usercpu_time_millis_training: 2432.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7021, kappa: 0.4005, kb_relative_information_score: 539.4384, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9322, scimark_benchmark: 1708.6258, usercpu_time_millis: 2520.628, usercpu_time_millis_testing: 19.098, usercpu_time_millis_training: 2501.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7841, kappa: 0.565, kb_relative_information_score: 1467.4741, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7957, scimark_benchmark: 1820.0566, usercpu_time_millis: 2573.054, usercpu_time_millis_testing: 36.828, usercpu_time_millis_training: 2536.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7021, kappa: 0.4005, kb_relative_information_score: 563.6375, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1818.9456, usercpu_time_millis: 2625.039, usercpu_time_millis_testing: 21.129, usercpu_time_millis_training: 2603.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.694, kappa: 0.3847, kb_relative_information_score: 523.847, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9388, scimark_benchmark: 1765.8191, usercpu_time_millis: 2754.316, usercpu_time_millis_testing: 18.571, usercpu_time_millis_training: 2735.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6944, kappa: 0.3857, kb_relative_information_score: 526.9255, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.7003, prior_entropy: 0.9948, recall: 0.7003, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9356, scimark_benchmark: 1828.7746, usercpu_time_millis: 2781.981, usercpu_time_millis_testing: 20.375, usercpu_time_millis_training: 2761.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6979, kappa: 0.3922, kb_relative_information_score: 539.1923, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7063, predictive_accuracy: 0.7033, prior_entropy: 0.9948, recall: 0.7033, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.934, scimark_benchmark: 1831.9368, usercpu_time_millis: 2964.151, usercpu_time_millis_testing: 23.796, usercpu_time_millis_training: 2940.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6938, kappa: 0.3841, kb_relative_information_score: 524.5415, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7021, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1712.59, usercpu_time_millis: 3044.797, usercpu_time_millis_testing: 20.532, usercpu_time_millis_training: 3024.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6939, kappa: 0.384, kb_relative_information_score: 524.2436, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411, scimark_benchmark: 1791.5053, usercpu_time_millis: 3989.01, usercpu_time_millis_testing: 29.84, usercpu_time_millis_training: 3959.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6871, kappa: 0.3692, kb_relative_information_score: 606.1392, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9467, scimark_benchmark: 1819.9868, usercpu_time_millis: 4119.968, usercpu_time_millis_testing: 21.434, usercpu_time_millis_training: 4098.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6939, kappa: 0.3843, kb_relative_information_score: 527.1053, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7026, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9376, scimark_benchmark: 1761.1166, usercpu_time_millis: 3784.828, usercpu_time_millis_testing: 31.115, usercpu_time_millis_training: 3753.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6789, kappa: 0.353, kb_relative_information_score: 606.4357, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493, scimark_benchmark: 1828.258, usercpu_time_millis: 4539.615, usercpu_time_millis_testing: 20.663, usercpu_time_millis_training: 4518.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6785, kappa: 0.3522, kb_relative_information_score: 609.5649, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6831, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1825.7906, usercpu_time_millis: 4581.833, usercpu_time_millis_testing: 21.78, usercpu_time_millis_training: 4560.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7591, kappa: 0.5139, kb_relative_information_score: 1123.4566, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502, scimark_benchmark: 1734.0404, usercpu_time_millis: 1469.818, usercpu_time_millis_testing: 21.286, usercpu_time_millis_training: 1448.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.765, kappa: 0.526, kb_relative_information_score: 1396.4834, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, scimark_benchmark: 1729.9663, usercpu_time_millis: 1531.99, usercpu_time_millis_testing: 24.203, usercpu_time_millis_training: 1507.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7539, kappa: 0.5034, kb_relative_information_score: 1037.6529, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8624, scimark_benchmark: 1803.8238, usercpu_time_millis: 1944.555, usercpu_time_millis_testing: 28.886, usercpu_time_millis_training: 1915.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.7024, kappa: 0.4009, kb_relative_information_score: 552.1992, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.71, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9314, scimark_benchmark: 1827.4341, usercpu_time_millis: 1987.856, usercpu_time_millis_testing: 13.579, usercpu_time_millis_training: 1974.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7652, kappa: 0.5264, kb_relative_information_score: 1371.1239, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1799.9402, usercpu_time_millis: 2050.269, usercpu_time_millis_testing: 31.82, usercpu_time_millis_training: 2018.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1265.6502, mean_absolute_error: 0.3464, 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: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8305, scimark_benchmark: 1788.6014, usercpu_time_millis: 2073.742, usercpu_time_millis_testing: 33.321, usercpu_time_millis_training: 2040.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1198.579, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1769.3819, usercpu_time_millis: 2136.071, usercpu_time_millis_testing: 31.935, usercpu_time_millis_training: 2104.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7271, kappa: 0.4496, kb_relative_information_score: 731.656, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7311, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9033, scimark_benchmark: 1804.3835, usercpu_time_millis: 2175.134, usercpu_time_millis_testing: 26.095, usercpu_time_millis_training: 2149.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7561, kappa: 0.5078, kb_relative_information_score: 1096.1734, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.854, scimark_benchmark: 1779.8401, usercpu_time_millis: 2170.08, usercpu_time_millis_testing: 31.748, usercpu_time_millis_training: 2138.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7195, kappa: 0.4349, kb_relative_information_score: 644.383, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7233, prior_entropy: 0.9948, recall: 0.7233, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9147, scimark_benchmark: 1802.8911, usercpu_time_millis: 2302.725, usercpu_time_millis_testing: 24.61, usercpu_time_millis_training: 2278.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7683, kappa: 0.5325, kb_relative_information_score: 1294.8143, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8235, scimark_benchmark: 1795.4562, usercpu_time_millis: 2381.279, usercpu_time_millis_testing: 32.633, usercpu_time_millis_training: 2348.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7188, kappa: 0.4335, kb_relative_information_score: 650.4287, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7251, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9135, scimark_benchmark: 1788.075, usercpu_time_millis: 2294.31, usercpu_time_millis_testing: 25.323, usercpu_time_millis_training: 2268.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7017, kappa: 0.3999, kb_relative_information_score: 545.4112, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7102, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9304, scimark_benchmark: 1723.5103, usercpu_time_millis: 2414.014, usercpu_time_millis_testing: 19.262, usercpu_time_millis_training: 2394.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7671, kappa: 0.53, kb_relative_information_score: 1051.2501, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8467, scimark_benchmark: 1755.9796, usercpu_time_millis: 2615.923, usercpu_time_millis_testing: 33.692, usercpu_time_millis_training: 2582.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7031, kappa: 0.4024, kb_relative_information_score: 556.8442, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9306, scimark_benchmark: 1722.9832, usercpu_time_millis: 2611.013, usercpu_time_millis_testing: 20.994, usercpu_time_millis_training: 2590.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7623, kappa: 0.5203, kb_relative_information_score: 1150.1664, mean_absolute_error: 0.3618, 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: 0.7288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8448, scimark_benchmark: 1718.4764, usercpu_time_millis: 1886.726, usercpu_time_millis_testing: 29.922, usercpu_time_millis_training: 1856.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6876, kappa: 0.3703, kb_relative_information_score: 593.4635, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6922, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9462, scimark_benchmark: 1749.1202, usercpu_time_millis: 3644.069, usercpu_time_millis_testing: 16.395, usercpu_time_millis_training: 3627.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6886, kappa: 0.3724, kb_relative_information_score: 560.2143, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6933, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9467, scimark_benchmark: 1785.4526, usercpu_time_millis: 3710.727, usercpu_time_millis_testing: 21.293, usercpu_time_millis_training: 3689.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7106, kappa: 0.4173, kb_relative_information_score: 585.6048, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7175, predictive_accuracy: 0.715, prior_entropy: 0.9948, recall: 0.715, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9232, scimark_benchmark: 1767.1911, usercpu_time_millis: 3104.04, usercpu_time_millis_testing: 31.838, usercpu_time_millis_training: 3072.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6358, kappa: 0.2999, kb_relative_information_score: 717.7753, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.6673, prior_entropy: 0.9948, recall: 0.6673, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9032, scimark_benchmark: 1769.5742, usercpu_time_millis: 2910.222, usercpu_time_millis_testing: 45.866, usercpu_time_millis_training: 2864.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6754, kappa: 0.3463, kb_relative_information_score: 608.0558, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493, scimark_benchmark: 1806.2048, usercpu_time_millis: 4463.091, usercpu_time_millis_testing: 19.17, usercpu_time_millis_training: 4443.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6759, kappa: 0.3473, kb_relative_information_score: 610.1724, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1817.9059, usercpu_time_millis: 4602.374, usercpu_time_millis_testing: 21.395, usercpu_time_millis_training: 4580.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6818, kappa: 0.3588, kb_relative_information_score: 607.7088, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6864, predictive_accuracy: 0.686, prior_entropy: 0.9948, recall: 0.686, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1687.9644, usercpu_time_millis: 4259.448, usercpu_time_millis_testing: 16.594, usercpu_time_millis_training: 4242.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6802, kappa: 0.3557, kb_relative_information_score: 599.9975, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6852, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.949, scimark_benchmark: 1752.5163, usercpu_time_millis: 4958.862, usercpu_time_millis_testing: 25.048, usercpu_time_millis_training: 4933.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6755, kappa: 0.3464, kb_relative_information_score: 604.3769, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1744.8601, usercpu_time_millis: 4945.412, usercpu_time_millis_testing: 24.275, usercpu_time_millis_training: 4921.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6779, kappa: 0.351, kb_relative_information_score: 604.9256, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9495, scimark_benchmark: 1748.2852, usercpu_time_millis: 4250.388, usercpu_time_millis_testing: 17.793, usercpu_time_millis_training: 4232.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.679, kappa: 0.353, kb_relative_information_score: 604.0339, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6832, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9508, scimark_benchmark: 1784.8802, usercpu_time_millis: 4346.666, usercpu_time_millis_testing: 18.253, usercpu_time_millis_training: 4328.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6762, kappa: 0.3476, kb_relative_information_score: 603.4934, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.681, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9499, scimark_benchmark: 1770.3515, usercpu_time_millis: 5413.589, usercpu_time_millis_testing: 29.599, usercpu_time_millis_training: 5383.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7112, kappa: 0.4185, kb_relative_information_score: 591.6262, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.718, predictive_accuracy: 0.7155, prior_entropy: 0.9948, recall: 0.7155, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9239, scimark_benchmark: 1859.1356, usercpu_time_millis: 1998.36, usercpu_time_millis_testing: 18.668, usercpu_time_millis_training: 1979.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.6938, kappa: 0.3842, kb_relative_information_score: 523.9818, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7028, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9387, scimark_benchmark: 2034.2174, usercpu_time_millis: 2253.344, usercpu_time_millis_testing: 14.338, usercpu_time_millis_training: 2239.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7036, kappa: 0.4033, kb_relative_information_score: 562.9512, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9291, scimark_benchmark: 1857.5664, usercpu_time_millis: 1731.004, usercpu_time_millis_testing: 12.326, usercpu_time_millis_training: 1718.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6883, kappa: 0.3731, kb_relative_information_score: 520.8972, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6965, predictive_accuracy: 0.6939, prior_entropy: 0.9948, recall: 0.6939, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9433, scimark_benchmark: 1857.5664, usercpu_time_millis: 2437.662, usercpu_time_millis_testing: 12.182, usercpu_time_millis_training: 2425.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.6933, kappa: 0.383, kb_relative_information_score: 531.4861, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9398, scimark_benchmark: 1852.3877, usercpu_time_millis: 2186.539, usercpu_time_millis_testing: 12.589, usercpu_time_millis_training: 2173.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6933, kappa: 0.3835, kb_relative_information_score: 525.0764, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7027, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9366, scimark_benchmark: 1994.2619, usercpu_time_millis: 1999.33, usercpu_time_millis_testing: 12.705, usercpu_time_millis_training: 1986.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6861, kappa: 0.368, kb_relative_information_score: 550.1491, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9464, scimark_benchmark: 1839.6694, usercpu_time_millis: 3122.011, usercpu_time_millis_testing: 16.205, usercpu_time_millis_training: 3105.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6885, kappa: 0.3722, kb_relative_information_score: 552.471, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6929, predictive_accuracy: 0.6923, prior_entropy: 0.9948, recall: 0.6923, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9447, scimark_benchmark: 1134.1878, usercpu_time_millis: 3322.105, usercpu_time_millis_testing: 15.023, usercpu_time_millis_training: 3307.082,

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