OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1502.0774, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1342.3722, usercpu_time_millis: 441.976, usercpu_time_millis_testing: 2.723, usercpu_time_millis_training: 439.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0441, 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: 1346.5215, usercpu_time_millis: 10.597, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 8.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7806, kappa: 0.5575, kb_relative_information_score: 1397.1541, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1248.1423, usercpu_time_millis: 4164.3, usercpu_time_millis_testing: 5.158, usercpu_time_millis_training: 4159.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7794, kappa: 0.5548, kb_relative_information_score: 1478.7023, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7946, scimark_benchmark: 1082.2387, usercpu_time_millis: 17706.693, usercpu_time_millis_testing: 6.409, usercpu_time_millis_training: 17700.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7814, kappa: 0.559, kb_relative_information_score: 1354.6979, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8014, scimark_benchmark: 1349.0175, usercpu_time_millis: 2830.462, usercpu_time_millis_testing: 2.92, usercpu_time_millis_training: 2827.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1651.3962, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7542, scimark_benchmark: 1178.3053, usercpu_time_millis: 10781.442, usercpu_time_millis_testing: 5.898, usercpu_time_millis_training: 10775.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5979, kb_relative_information_score: 1578.1251, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1182.6206, usercpu_time_millis: 12594.892, usercpu_time_millis_testing: 7.309, usercpu_time_millis_training: 12587.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7747, kappa: 0.5455, kb_relative_information_score: 1365.2167, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1040.1466, usercpu_time_millis: 6426.942, usercpu_time_millis_testing: 5.701, usercpu_time_millis_training: 6421.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 1137.8801, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8386, scimark_benchmark: 1061.473, usercpu_time_millis: 771.775, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 769.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0862, 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: 1080.2888, usercpu_time_millis: 14.368, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 11.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1645.576, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7597, scimark_benchmark: 1061.7864, usercpu_time_millis: 27012.977, usercpu_time_millis_testing: 7.221, usercpu_time_millis_training: 27005.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7771, kappa: 0.5502, kb_relative_information_score: 1376.5678, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8046, scimark_benchmark: 1174.7296, usercpu_time_millis: 9008.597, usercpu_time_millis_testing: 3.027, usercpu_time_millis_training: 9005.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1398.3787, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1217.4872, usercpu_time_millis: 4934.488, usercpu_time_millis_testing: 4.506, usercpu_time_millis_training: 4929.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8128, kappa: 0.6225, kb_relative_information_score: 1636.2566, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7477, scimark_benchmark: 1126.5215, usercpu_time_millis: 2656.411, usercpu_time_millis_testing: 7.092, usercpu_time_millis_training: 2649.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1613.3492, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1129.165, usercpu_time_millis: 6893.928, usercpu_time_millis_testing: 5.081, usercpu_time_millis_training: 6888.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7535, kappa: 0.5025, kb_relative_information_score: 1326.0417, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8178, scimark_benchmark: 1179.9852, usercpu_time_millis: 321.656, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 320.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7166, kappa: 0.4282, kb_relative_information_score: 523.5926, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7174, predictive_accuracy: 0.7179, prior_entropy: 0.9948, recall: 0.7179, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9099, scimark_benchmark: 1155.9467, usercpu_time_millis: 74.951, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 72.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8096, kappa: 0.616, kb_relative_information_score: 1644.8476, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.755, scimark_benchmark: 1131.8215, usercpu_time_millis: 1719.55, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 1716.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7638, kappa: 0.5234, kb_relative_information_score: 1181.0644, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8226, scimark_benchmark: 958.1351, usercpu_time_millis: 2104.479, usercpu_time_millis_testing: 4.505, usercpu_time_millis_training: 2099.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.205, 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: 1133.6297, usercpu_time_millis: 14.611, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 11.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 1295.9054, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.819, scimark_benchmark: 1079.6621, usercpu_time_millis: 5305.055, usercpu_time_millis_testing: 3.103, usercpu_time_millis_training: 5301.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7947, kappa: 0.5858, kb_relative_information_score: 1551.7117, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1094.1182, usercpu_time_millis: 6224.34, usercpu_time_millis_testing: 4.635, usercpu_time_millis_training: 6219.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8029, kappa: 0.6025, kb_relative_information_score: 1769.2313, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1170.9529, usercpu_time_millis: 11469.245, usercpu_time_millis_testing: 5.791, usercpu_time_millis_training: 11463.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1466, 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: 976.1085, usercpu_time_millis: 14.262, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 11.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7661, kappa: 0.5282, kb_relative_information_score: 1038.8622, mean_absolute_error: 0.3777, 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: 0.7609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8325, scimark_benchmark: 1128.2727, usercpu_time_millis: 430.783, usercpu_time_millis_testing: 4.612, usercpu_time_millis_training: 426.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8062, kappa: 0.6091, kb_relative_information_score: 1594.58, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1141.4415, usercpu_time_millis: 5887.007, usercpu_time_millis_testing: 6.673, usercpu_time_millis_training: 5880.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7921, kappa: 0.5807, kb_relative_information_score: 1534.7058, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7791, scimark_benchmark: 1098.9296, usercpu_time_millis: 267.447, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 265.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7871, kappa: 0.5705, kb_relative_information_score: 1436.533, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7877, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1156.2609, usercpu_time_millis: 6353.435, usercpu_time_millis_testing: 5.912, usercpu_time_millis_training: 6347.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1610.6237, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1090.1005, usercpu_time_millis: 5846.629, usercpu_time_millis_testing: 5.687, usercpu_time_millis_training: 5840.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7936, kappa: 0.5837, kb_relative_information_score: 1491.0108, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7795, scimark_benchmark: 1085.4346, usercpu_time_millis: 6464.925, usercpu_time_millis_testing: 5.146, usercpu_time_millis_training: 6459.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 932.5058, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8716, scimark_benchmark: 1118.759, usercpu_time_millis: 243.519, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 241.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1091, 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: 969.2218, usercpu_time_millis: 13.477, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 11.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8098, kappa: 0.6164, kb_relative_information_score: 1669.2976, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509, scimark_benchmark: 1113.7107, usercpu_time_millis: 1393.155, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 1390.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7863, kappa: 0.5691, kb_relative_information_score: 1467.3039, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7855, scimark_benchmark: 1113.525, usercpu_time_millis: 4292.843, usercpu_time_millis_testing: 2.803, usercpu_time_millis_training: 4290.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0281, 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: 1091.0675, usercpu_time_millis: 12.318, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 10.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 748.3497, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8851, scimark_benchmark: 1093.6891, usercpu_time_millis: 577.358, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 574.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8054, kappa: 0.6075, kb_relative_information_score: 1562.7174, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 1060.2426, usercpu_time_millis: 1825.305, usercpu_time_millis_testing: 3.489, usercpu_time_millis_training: 1821.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1411.9255, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7951, scimark_benchmark: 1140.3917, usercpu_time_millis: 3098.138, usercpu_time_millis_testing: 3.127, usercpu_time_millis_training: 3095.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7372, kappa: 0.4715, kb_relative_information_score: 855.9381, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8718, scimark_benchmark: 1110.8027, usercpu_time_millis: 417.894, usercpu_time_millis_testing: 2.374, usercpu_time_millis_training: 415.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1593.5921, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1115.1097, usercpu_time_millis: 601.005, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 599.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7931, kappa: 0.5826, kb_relative_information_score: 1489.4235, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7793, scimark_benchmark: 1001.9893, usercpu_time_millis: 9586.242, usercpu_time_millis_testing: 6.39, usercpu_time_millis_training: 9579.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7367, kappa: 0.4709, kb_relative_information_score: 1013.8915, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8684, scimark_benchmark: 1013.4846, usercpu_time_millis: 39.294, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 37.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0488, 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: 1050.7602, usercpu_time_millis: 13.102, usercpu_time_millis_testing: 2.42, usercpu_time_millis_training: 10.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8032, kappa: 0.6029, kb_relative_information_score: 1459.2795, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8038, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7729, scimark_benchmark: 1092.1588, usercpu_time_millis: 480.84, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 478.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1424.808, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7867, scimark_benchmark: 1069.2999, usercpu_time_millis: 2937.923, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 2934.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1654.2983, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7552, scimark_benchmark: 1075.4921, usercpu_time_millis: 8832.495, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 8828.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.778, kappa: 0.5521, kb_relative_information_score: 1408.3711, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7791, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1150.7113, usercpu_time_millis: 7513.409, usercpu_time_millis_testing: 4.515, usercpu_time_millis_training: 7508.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7529, kappa: 0.5013, kb_relative_information_score: 1125.3043, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8397, scimark_benchmark: 1136.5398, usercpu_time_millis: 1073.537, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 1071.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1643.2332, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1071.173, usercpu_time_millis: 4894.708, usercpu_time_millis_testing: 3.616, usercpu_time_millis_training: 4891.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7562, kappa: 0.5082, kb_relative_information_score: 1153.1646, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8324, scimark_benchmark: 1083.4019, usercpu_time_millis: 226.291, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 224.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7608, kappa: 0.5173, kb_relative_information_score: 1288.6733, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1140.7856, usercpu_time_millis: 1153.417, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 1151.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7624, kappa: 0.5206, kb_relative_information_score: 1259.2522, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 1096.0431, usercpu_time_millis: 986.843, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 984.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7408, kappa: 0.4779, kb_relative_information_score: 816.5754, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7408, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8696, scimark_benchmark: 1078.2696, usercpu_time_millis: 131.135, usercpu_time_millis_testing: 2.096, usercpu_time_millis_training: 129.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0451, 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: 1039.2894, usercpu_time_millis: 7.697, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 6.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0513, 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: 971.7253, usercpu_time_millis: 12.672, usercpu_time_millis_testing: 2.199, usercpu_time_millis_training: 10.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0704, 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: 1014.7455, usercpu_time_millis: 11.207, usercpu_time_millis_testing: 2.107, usercpu_time_millis_training: 9.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0909, 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: 1122.0054, usercpu_time_millis: 11.711, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 9.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1650.6958, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1074.4906, usercpu_time_millis: 5840.71, usercpu_time_millis_testing: 4.067, usercpu_time_millis_training: 5836.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7828, kappa: 0.5617, kb_relative_information_score: 1339.9672, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8014, scimark_benchmark: 1103.1824, usercpu_time_millis: 3411.808, usercpu_time_millis_testing: 4.334, usercpu_time_millis_training: 3407.474,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1507.7067, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 984.2709, usercpu_time_millis: 4475.141, usercpu_time_millis_testing: 10.454, usercpu_time_millis_training: 4464.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7869, kappa: 0.5701, kb_relative_information_score: 1369.8987, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1141.9347, usercpu_time_millis: 2536.662, usercpu_time_millis_testing: 6.969, usercpu_time_millis_training: 2529.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8044, kappa: 0.6055, kb_relative_information_score: 1526.6378, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1114.8818, usercpu_time_millis: 1683.072, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 1679.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1420.169, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1070.4131, usercpu_time_millis: 1106.248, usercpu_time_millis_testing: 5.103, usercpu_time_millis_training: 1101.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7732, kappa: 0.5424, kb_relative_information_score: 1233.4095, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1153.8558, usercpu_time_millis: 479.94, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 477.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7785, kappa: 0.5532, kb_relative_information_score: 1388.0454, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8025, scimark_benchmark: 1114.4783, usercpu_time_millis: 352.982, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 351.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0924, 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: 1169.7903, usercpu_time_millis: 13.69, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 10.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1719.0029, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 1728.4686, usercpu_time_millis: 10580.079, usercpu_time_millis_testing: 4.951, usercpu_time_millis_training: 10575.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7996, kappa: 0.5958, kb_relative_information_score: 1654.7996, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1684.6635, usercpu_time_millis: 9186.094, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 9181.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7872, kappa: 0.5706, kb_relative_information_score: 1406.0367, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7916, scimark_benchmark: 1731.1814, usercpu_time_millis: 4664.918, usercpu_time_millis_testing: 4.153, usercpu_time_millis_training: 4660.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8038, kappa: 0.6043, kb_relative_information_score: 1553.6571, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1728.4686, usercpu_time_millis: 3597.377, usercpu_time_millis_testing: 5.97, usercpu_time_millis_training: 3591.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7732, kappa: 0.5423, kb_relative_information_score: 1367.392, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8063, scimark_benchmark: 1748.8551, usercpu_time_millis: 4043.471, usercpu_time_millis_testing: 1.828, usercpu_time_millis_training: 4041.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7836, kappa: 0.5634, kb_relative_information_score: 1385.0629, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1781.4534, usercpu_time_millis: 2073.3, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 2071.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8069, kappa: 0.6105, kb_relative_information_score: 1741.3851, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7512, scimark_benchmark: 1739.0126, usercpu_time_millis: 2282.713, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 2281.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7878, kappa: 0.572, kb_relative_information_score: 1365.698, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931, scimark_benchmark: 1728.075, usercpu_time_millis: 1309.853, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 1306.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7641, kappa: 0.5239, kb_relative_information_score: 1296.7606, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.815, scimark_benchmark: 1754.934, usercpu_time_millis: 2142.124, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 2140.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7511, kappa: 0.4984, kb_relative_information_score: 1271.2035, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8322, scimark_benchmark: 1698.4727, usercpu_time_millis: 1945.629, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 1943.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1525.7254, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1747.2347, usercpu_time_millis: 2492.415, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 2490.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7826, kappa: 0.5614, kb_relative_information_score: 1432.1696, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7831, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 1737.5625, usercpu_time_millis: 1311.956, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 1310.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0704, 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: 1760.2849, usercpu_time_millis: 8.91, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8109, kappa: 0.6186, kb_relative_information_score: 1541.3938, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 1741.3041, usercpu_time_millis: 1002.223, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 998.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7373, kappa: 0.4713, kb_relative_information_score: 796.0306, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.873, scimark_benchmark: 1706.8056, usercpu_time_millis: 43.325, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 42.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5989, kappa: 0.2325, kb_relative_information_score: 194.5299, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6683, predictive_accuracy: 0.6358, prior_entropy: 0.9948, recall: 0.6358, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9647, scimark_benchmark: 1702.1769, usercpu_time_millis: 12.844, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 11.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 1000.1233, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.422, root_relative_squared_error: 0.847, scimark_benchmark: 1701.0644, usercpu_time_millis: 360.933, usercpu_time_millis_testing: 1.988, usercpu_time_millis_training: 358.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7827, kappa: 0.5616, kb_relative_information_score: 1223.2257, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1792.2601, usercpu_time_millis: 466.01, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 463.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1462, 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: 1755.1395, usercpu_time_millis: 8.438, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 7.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7872, kappa: 0.5707, kb_relative_information_score: 1288.9266, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1743.9224, usercpu_time_millis: 221.156, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 218.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7894, kappa: 0.575, kb_relative_information_score: 1564.9565, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1766.9139, usercpu_time_millis: 12535.057, usercpu_time_millis_testing: 4.046, usercpu_time_millis_training: 12531.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8, kappa: 0.5968, kb_relative_information_score: 1695.2241, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7652, scimark_benchmark: 1710.2447, usercpu_time_millis: 9832.918, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 9829.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1634.8991, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7583, scimark_benchmark: 1824.8123, usercpu_time_millis: 9114.459, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 9110.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1687.6367, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1708.7849, usercpu_time_millis: 8247.778, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 8244.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7777, kappa: 0.5517, kb_relative_information_score: 1345.7679, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8044, scimark_benchmark: 1767.7843, usercpu_time_millis: 2643.025, usercpu_time_millis_testing: 3.832, usercpu_time_millis_training: 2639.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1564.4126, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1729.728, usercpu_time_millis: 2558.471, usercpu_time_millis_testing: 2.322, usercpu_time_millis_training: 2556.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1717.6914, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1713.6532, usercpu_time_millis: 2222.376, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 2221.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7924, kappa: 0.5812, kb_relative_information_score: 1380.5534, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1731.6646, usercpu_time_millis: 1364.885, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 1361.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7814, kappa: 0.559, kb_relative_information_score: 1325.0925, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1752.7774, usercpu_time_millis: 1003.851, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 1001.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7832, kappa: 0.5626, kb_relative_information_score: 1396.8534, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.794, scimark_benchmark: 1736.1002, usercpu_time_millis: 869.579, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 867.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8061, kappa: 0.6091, kb_relative_information_score: 1456.0312, mean_absolute_error: 0.3226, 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: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7703, scimark_benchmark: 1766.4074, usercpu_time_millis: 232.51, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 230.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7285, kappa: 0.4523, kb_relative_information_score: 747.4652, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7288, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8736, scimark_benchmark: 1769.0562, usercpu_time_millis: 29.422, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 26.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7681, kappa: 0.5322, kb_relative_information_score: 1394.2158, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7682, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.82, scimark_benchmark: 1728.9285, usercpu_time_millis: 15.962, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 15.321,

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