Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

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


Metric:

9363 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1593.9193, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7548, scimark_benchmark: 1358.2902, usercpu_time_millis: 4815.674, usercpu_time_millis_testing: 6.346, usercpu_time_millis_training: 4809.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 1695.2544, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7567, scimark_benchmark: 1363.0371, usercpu_time_millis: 1352.496, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 1351.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8112, kappa: 0.6193, kb_relative_information_score: 1676.5687, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7476, scimark_benchmark: 1361.1414, usercpu_time_millis: 1000.919, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 998.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1604.5976, mean_absolute_error: 0.3011, 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: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1358.994, usercpu_time_millis: 4397.721, usercpu_time_millis_testing: 2.518, usercpu_time_millis_training: 4395.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7844, kappa: 0.5649, kb_relative_information_score: 1312.0816, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7975, scimark_benchmark: 1366.7254, usercpu_time_millis: 1831.66, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 1828.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7914, kappa: 0.5792, kb_relative_information_score: 1508.1343, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.792, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7774, scimark_benchmark: 1361.2635, usercpu_time_millis: 481.757, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 480.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1537.3795, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1359.0759, usercpu_time_millis: 1388.917, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 1386.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1972, 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: 1362.2201, usercpu_time_millis: 6.28, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.754, kappa: 0.5035, kb_relative_information_score: 929.1468, mean_absolute_error: 0.3931, 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: 0.7918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.853, scimark_benchmark: 1362.1078, usercpu_time_millis: 237.163, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 235.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1449.7907, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7868, scimark_benchmark: 1362.0803, usercpu_time_millis: 6791.328, usercpu_time_millis_testing: 4.692, usercpu_time_millis_training: 6786.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7898, kappa: 0.576, kb_relative_information_score: 1203.0054, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8049, scimark_benchmark: 1359.4267, usercpu_time_millis: 207.875, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 204.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7643, kappa: 0.5243, kb_relative_information_score: 1216.1522, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8221, scimark_benchmark: 1349.5676, usercpu_time_millis: 997.872, usercpu_time_millis_testing: 2.082, usercpu_time_millis_training: 995.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8047, kappa: 0.6062, kb_relative_information_score: 1635.7575, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1360.3374, usercpu_time_millis: 9037.938, usercpu_time_millis_testing: 5.731, usercpu_time_millis_training: 9032.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7468, kappa: 0.4898, kb_relative_information_score: 1235.5901, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1357.3955, usercpu_time_millis: 3465.132, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 3462.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1789.1437, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7514, scimark_benchmark: 1359.1865, usercpu_time_millis: 13455.621, usercpu_time_millis_testing: 5.992, usercpu_time_millis_training: 13449.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7698, kappa: 0.5358, kb_relative_information_score: 1237.119, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8218, scimark_benchmark: 1361.4326, usercpu_time_millis: 10.225, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 9.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7966, kappa: 0.5896, kb_relative_information_score: 1549.1957, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.77, scimark_benchmark: 1360.1797, usercpu_time_millis: 13583.078, usercpu_time_millis_testing: 4.855, usercpu_time_millis_training: 13578.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7676, kappa: 0.531, kb_relative_information_score: 1296.6007, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8172, scimark_benchmark: 1354.9623, usercpu_time_millis: 4062.1, usercpu_time_millis_testing: 3.297, usercpu_time_millis_training: 4058.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0543, 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: 1362.8756, usercpu_time_millis: 7.046, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 5.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7903, kappa: 0.5769, kb_relative_information_score: 1428.959, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7877, scimark_benchmark: 1362.2979, usercpu_time_millis: 5521.941, usercpu_time_millis_testing: 4.536, usercpu_time_millis_training: 5517.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8104, kappa: 0.6176, kb_relative_information_score: 1702.55, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7486, scimark_benchmark: 1359.3622, usercpu_time_millis: 4843.797, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 4840.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1602.1778, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1362.6921, usercpu_time_millis: 4672.241, usercpu_time_millis_testing: 2.612, usercpu_time_millis_training: 4669.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7839, kappa: 0.564, kb_relative_information_score: 1481.7751, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7845, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7877, scimark_benchmark: 1359.8386, usercpu_time_millis: 8278.186, usercpu_time_millis_testing: 3.515, usercpu_time_millis_training: 8274.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7919, kappa: 0.5803, kb_relative_information_score: 1412.4408, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7831, scimark_benchmark: 1363.776, usercpu_time_millis: 256.353, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 255.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 1574.6617, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1357.5704, usercpu_time_millis: 3091.59, usercpu_time_millis_testing: 2.826, usercpu_time_millis_training: 3088.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0955, 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: 1363.7697, usercpu_time_millis: 9.67, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 8.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.812, kappa: 0.6209, kb_relative_information_score: 1642.5179, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7486, scimark_benchmark: 1357.0778, usercpu_time_millis: 2505.381, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 2501.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1526.9101, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1364.786, usercpu_time_millis: 11890.535, usercpu_time_millis_testing: 3.891, usercpu_time_millis_training: 11886.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7734, kappa: 0.5428, kb_relative_information_score: 1306.7818, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125, scimark_benchmark: 1345.6511, usercpu_time_millis: 1837.205, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 1835.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7618, kappa: 0.5195, kb_relative_information_score: 1357.1618, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1332.5077, usercpu_time_millis: 9499.289, usercpu_time_millis_testing: 4.026, usercpu_time_millis_training: 9495.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1587.7002, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1336.7578, usercpu_time_millis: 7266.488, usercpu_time_millis_testing: 2.628, usercpu_time_millis_training: 7263.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7592, kappa: 0.5141, kb_relative_information_score: 1207.0668, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8276, scimark_benchmark: 1366.1604, usercpu_time_millis: 21.203, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 20.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8028, kappa: 0.6021, kb_relative_information_score: 1625.286, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 1374.928, usercpu_time_millis: 9918.9, usercpu_time_millis_testing: 3.892, usercpu_time_millis_training: 9915.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -0.1954, 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: 1359.1424, usercpu_time_millis: 5.397, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 4.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 1355.1283, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1364.6915, usercpu_time_millis: 5834.747, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 5831.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7961, kappa: 0.5886, kb_relative_information_score: 1577.3373, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7701, scimark_benchmark: 1364.2554, usercpu_time_millis: 5483.55, usercpu_time_millis_testing: 2.485, usercpu_time_millis_training: 5481.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1565.9684, mean_absolute_error: 0.3066, 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: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7659, scimark_benchmark: 1360.3289, usercpu_time_millis: 398.779, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 397.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.133, 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: 1363.3018, usercpu_time_millis: 9.065, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 7.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.795, kappa: 0.5865, kb_relative_information_score: 1530.2454, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7954, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7744, scimark_benchmark: 1359.2055, usercpu_time_millis: 5217.781, usercpu_time_millis_testing: 2.604, usercpu_time_millis_training: 5215.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7804, kappa: 0.5571, kb_relative_information_score: 1136.8655, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.816, scimark_benchmark: 1361.7515, usercpu_time_millis: 108.445, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 107.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1198, 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: 1360.606, usercpu_time_millis: 5.972, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 4.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8108, kappa: 0.6185, kb_relative_information_score: 1655.967, mean_absolute_error: 0.294, 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: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1371.35, usercpu_time_millis: 5360.652, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 5356.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8005, kappa: 0.5975, kb_relative_information_score: 1344.9073, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7816, scimark_benchmark: 1360.086, usercpu_time_millis: 542.718, usercpu_time_millis_testing: 5.599, usercpu_time_millis_training: 537.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1634.6202, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7516, scimark_benchmark: 1359.5954, usercpu_time_millis: 710.647, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 708.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7776, kappa: 0.5512, kb_relative_information_score: 1412.2148, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1363.4105, usercpu_time_millis: 2225.42, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 2223.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0681, 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: 1361.2608, usercpu_time_millis: 9.022, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 7.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8064, kappa: 0.6097, kb_relative_information_score: 1715.6196, mean_absolute_error: 0.2845, 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: 0.5731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1373.6465, usercpu_time_millis: 2619.917, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 2618.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 959.1932, mean_absolute_error: 0.3888, 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: 0.7833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1361.6156, usercpu_time_millis: 117.897, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 116.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7418, kappa: 0.4793, kb_relative_information_score: 1146.6038, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8479, scimark_benchmark: 1373.5865, usercpu_time_millis: 1438.314, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 1436.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7811, kappa: 0.5585, kb_relative_information_score: 1381.1862, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7992, scimark_benchmark: 1364.4315, usercpu_time_millis: 422.249, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 421.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8102, kappa: 0.6173, kb_relative_information_score: 1475.1238, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1362.9046, usercpu_time_millis: 119.17, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 117.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1606.341, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1374.7501, usercpu_time_millis: 805.098, usercpu_time_millis_testing: 2.839, usercpu_time_millis_training: 802.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7598, kappa: 0.5154, kb_relative_information_score: 1274.0611, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8217, scimark_benchmark: 1373.3346, usercpu_time_millis: 732.471, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 731.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7937, kappa: 0.5839, kb_relative_information_score: 1364.5915, mean_absolute_error: 0.3349, 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: 0.6746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7863, scimark_benchmark: 1370.3894, usercpu_time_millis: 386.496, usercpu_time_millis_testing: 2.259, usercpu_time_millis_training: 384.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7156, kappa: 0.4261, kb_relative_information_score: 567.1993, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7159, predictive_accuracy: 0.7166, prior_entropy: 0.9948, recall: 0.7166, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9033, scimark_benchmark: 1375.5038, usercpu_time_millis: 68.341, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 66.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1603.401, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7603, scimark_benchmark: 1731.4598, usercpu_time_millis: 3811.477, usercpu_time_millis_testing: 4.55, usercpu_time_millis_training: 3806.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1601.3534, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7997, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7619, scimark_benchmark: 1743.3608, usercpu_time_millis: 3530.558, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 3527.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.775, kappa: 0.546, kb_relative_information_score: 1377.0674, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 737.8019, usercpu_time_millis: 2895.884, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 2892.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 1347.5515, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8066, scimark_benchmark: 1731.3045, usercpu_time_millis: 2750.835, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 2747.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1580.7714, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1729.4829, usercpu_time_millis: 2415.808, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 2413.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.773, kappa: 0.5419, kb_relative_information_score: 1385.2881, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8034, scimark_benchmark: 738.5777, usercpu_time_millis: 2314.494, usercpu_time_millis_testing: 2.841, usercpu_time_millis_training: 2311.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1606.5371, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 738.4463, usercpu_time_millis: 2185.209, usercpu_time_millis_testing: 3.347, usercpu_time_millis_training: 2181.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8014, kappa: 0.5995, kb_relative_information_score: 1570.5155, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1726.7461, usercpu_time_millis: 1931.053, usercpu_time_millis_testing: 2.484, usercpu_time_millis_training: 1928.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7825, kappa: 0.5612, kb_relative_information_score: 1389.1956, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1701.2723, usercpu_time_millis: 1865.923, usercpu_time_millis_testing: 3.432, usercpu_time_millis_training: 1862.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1423.72, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7857, scimark_benchmark: 1727.6174, usercpu_time_millis: 1583.723, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 1580.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7819, kappa: 0.56, kb_relative_information_score: 1295.6508, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1737.3598, usercpu_time_millis: 1548.081, usercpu_time_millis_testing: 2.97, usercpu_time_millis_training: 1545.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8093, kappa: 0.6153, kb_relative_information_score: 1594.2314, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1732.2815, usercpu_time_millis: 1402.867, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 1399.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7824, kappa: 0.5609, kb_relative_information_score: 1289.8267, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.802, scimark_benchmark: 1724.1315, usercpu_time_millis: 1344.643, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 1341.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7897, kappa: 0.5758, kb_relative_information_score: 1379.8372, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.788, scimark_benchmark: 1721.8061, usercpu_time_millis: 1004.331, usercpu_time_millis_testing: 4.055, usercpu_time_millis_training: 1000.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7454, kappa: 0.4869, kb_relative_information_score: 1172.0926, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7513, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.842, scimark_benchmark: 1731.0556, usercpu_time_millis: 965.922, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 963.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1783.2162, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555, scimark_benchmark: 1733.8312, usercpu_time_millis: 657.647, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 656.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1568.5587, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7675, scimark_benchmark: 1741.0437, usercpu_time_millis: 538.455, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 537.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.78, kappa: 0.5562, kb_relative_information_score: 1397.7823, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1906.0467, usercpu_time_millis: 415.84, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 414.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7524, kappa: 0.5005, kb_relative_information_score: 828.562, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8643, scimark_benchmark: 739.977, usercpu_time_millis: 41.691, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 39.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1501, 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: 1740.1751, usercpu_time_millis: 7.465, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 6.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7939, kappa: 0.5843, kb_relative_information_score: 1561.8708, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1750.0035, usercpu_time_millis: 9559.569, usercpu_time_millis_testing: 3.133, usercpu_time_millis_training: 9556.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8008, kappa: 0.5984, kb_relative_information_score: 1761.5185, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 1743.2499, usercpu_time_millis: 7523.559, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 7519.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1599.9974, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7618, scimark_benchmark: 1733.3606, usercpu_time_millis: 7002.902, usercpu_time_millis_testing: 3.928, usercpu_time_millis_training: 6998.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7835, kappa: 0.5632, kb_relative_information_score: 1429.8661, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903, scimark_benchmark: 1745.3019, usercpu_time_millis: 4687.912, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 4684.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7837, kappa: 0.5635, kb_relative_information_score: 1408.3976, mean_absolute_error: 0.3272, 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: 0.6591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1745.5212, usercpu_time_millis: 4048.127, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 4044.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7626, kappa: 0.5208, kb_relative_information_score: 1312.0413, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7639, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8158, scimark_benchmark: 1715.3115, usercpu_time_millis: 3465.175, usercpu_time_millis_testing: 2.893, usercpu_time_millis_training: 3462.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8073, kappa: 0.6112, kb_relative_information_score: 1624.7245, mean_absolute_error: 0.2985, 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: 0.6014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1743.2499, usercpu_time_millis: 3060.245, usercpu_time_millis_testing: 4.581, usercpu_time_millis_training: 3055.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1575.3821, mean_absolute_error: 0.3059, 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: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1680.3792, usercpu_time_millis: 2783.208, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 2778.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1525.5047, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1891.2841, usercpu_time_millis: 2189.513, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 2188.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7954, kappa: 0.5873, kb_relative_information_score: 1510.6208, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1887.9145, usercpu_time_millis: 2113.207, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 2111.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1465.0819, mean_absolute_error: 0.3214, 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: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7687, scimark_benchmark: 1734.2972, usercpu_time_millis: 1376.577, usercpu_time_millis_testing: 5.981, usercpu_time_millis_training: 1370.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7778, kappa: 0.5516, kb_relative_information_score: 1321.1258, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1756.4892, usercpu_time_millis: 511.319, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 510.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7909, kappa: 0.5782, kb_relative_information_score: 1375.1304, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7914, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1729.117, usercpu_time_millis: 328.359, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 326.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7484, kappa: 0.4924, kb_relative_information_score: 810.9692, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 1740.845, usercpu_time_millis: 136.223, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 134.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7918, kappa: 0.5801, kb_relative_information_score: 1375.3182, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.787, scimark_benchmark: 1730.1287, usercpu_time_millis: 99.964, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 98.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7171, kappa: 0.4292, kb_relative_information_score: 576.8909, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7176, predictive_accuracy: 0.7182, prior_entropy: 0.9948, recall: 0.7182, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9015, scimark_benchmark: 1747.7618, usercpu_time_millis: 81.025, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 78.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.78, kappa: 0.5567, kb_relative_information_score: 1465.6373, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7799, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1732.8983, usercpu_time_millis: 39.628, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 38.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1118, 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: 1744.2121, usercpu_time_millis: 6.448, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 5.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.3363, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1743.2962, usercpu_time_millis: 5.315, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 4.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -1.2275, mean_absolute_error: 0.4965, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 4.674, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 3.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8045, kappa: 0.6059, kb_relative_information_score: 1675.6741, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.753, scimark_benchmark: 1739.2485, usercpu_time_millis: 3905.937, usercpu_time_millis_testing: 3.76, usercpu_time_millis_training: 3902.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7374, kappa: 0.472, kb_relative_information_score: 690.1398, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8899, scimark_benchmark: 1757.9268, usercpu_time_millis: 94.696, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 93.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7857, kappa: 0.5679, kb_relative_information_score: 1436.2302, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901, scimark_benchmark: 2047.6469, usercpu_time_millis: 336.166, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 335.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7741, kappa: 0.5441, kb_relative_information_score: 1337.8422, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7756, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1749.0636, usercpu_time_millis: 2260.626, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 2258.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7364, kappa: 0.4699, kb_relative_information_score: 679.8499, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7371, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8903, scimark_benchmark: 1875.6929, usercpu_time_millis: 46.615, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 45.71,

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