OpenML
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87577 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.7491, kappa: 0.0338, kb_relative_information_score: 362.1766, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8555, predictive_accuracy: 0.8247, prior_entropy: 0.6786, recall: 0.8247, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.848, scimark_benchmark: 1316.7256, usercpu_time_millis: 19.715, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 18.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.7917, kappa: 0.2003, kb_relative_information_score: 493.6207, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8607, predictive_accuracy: 0.8438, prior_entropy: 0.6786, recall: 0.8438, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.81, scimark_benchmark: 1300.2939, usercpu_time_millis: 98.071, usercpu_time_millis_testing: 6.177, usercpu_time_millis_training: 91.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7648, kappa: 0.0944, kb_relative_information_score: 444.8132, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8537, predictive_accuracy: 0.8313, prior_entropy: 0.6786, recall: 0.8313, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8298, scimark_benchmark: 1276.625, usercpu_time_millis: 103.381, usercpu_time_millis_testing: 6.961, usercpu_time_millis_training: 96.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8588, kappa: 0.4685, kb_relative_information_score: 672.8008, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8892, predictive_accuracy: 0.8816, prior_entropy: 0.6786, recall: 0.8816, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.7584, scimark_benchmark: 1315.8093, usercpu_time_millis: 109.926, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 104.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8509, kappa: 0.4367, kb_relative_information_score: 634.3202, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8853, predictive_accuracy: 0.8766, prior_entropy: 0.6786, recall: 0.8766, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.7708, scimark_benchmark: 1320.2003, usercpu_time_millis: 82.03, usercpu_time_millis_testing: 3.082, usercpu_time_millis_training: 78.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8228, kappa: 0.3235, kb_relative_information_score: 569.8658, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8779, predictive_accuracy: 0.8608, prior_entropy: 0.6786, recall: 0.8608, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.7942, scimark_benchmark: 1288.3405, usercpu_time_millis: 203.526, usercpu_time_millis_testing: 5.878, usercpu_time_millis_training: 197.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7402, kb_relative_information_score: 284.5109, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.8707, scimark_benchmark: 1318.7265, usercpu_time_millis: 20.201, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 18.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8247, kappa: 0.3316, kb_relative_information_score: 570.5472, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8742, predictive_accuracy: 0.8612, prior_entropy: 0.6786, recall: 0.8612, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7924, scimark_benchmark: 1306.4741, usercpu_time_millis: 39.012, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 37.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8045, kappa: 0.2507, kb_relative_information_score: 535.15, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8672, predictive_accuracy: 0.8504, prior_entropy: 0.6786, recall: 0.8504, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.8009, scimark_benchmark: 1290.8937, usercpu_time_millis: 125.366, usercpu_time_millis_testing: 8.291, usercpu_time_millis_training: 117.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8513, kappa: 0.4378, kb_relative_information_score: 629.791, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8886, predictive_accuracy: 0.8774, prior_entropy: 0.6786, recall: 0.8774, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7718, scimark_benchmark: 1297.3023, usercpu_time_millis: 212.961, usercpu_time_millis_testing: 6.629, usercpu_time_millis_training: 206.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8579, kappa: 0.4648, kb_relative_information_score: 675.8387, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8895, predictive_accuracy: 0.8812, prior_entropy: 0.6786, recall: 0.8812, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.7609, scimark_benchmark: 1321.5704, usercpu_time_millis: 168.324, usercpu_time_millis_testing: 5.366, usercpu_time_millis_training: 162.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.7402, kb_relative_information_score: 0.3602, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1288.9026, usercpu_time_millis: 16.541, usercpu_time_millis_testing: 2.01, usercpu_time_millis_training: 14.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8662, kappa: 0.4981, kb_relative_information_score: 669.8432, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8937, predictive_accuracy: 0.8866, prior_entropy: 0.6786, recall: 0.8866, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.7557, scimark_benchmark: 1316.0827, usercpu_time_millis: 202.284, usercpu_time_millis_testing: 7.084, usercpu_time_millis_training: 195.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7723, kappa: 0.1238, kb_relative_information_score: 439.7839, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8486, predictive_accuracy: 0.8342, prior_entropy: 0.6786, recall: 0.8342, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8275, scimark_benchmark: 1308.0641, usercpu_time_millis: 68.924, usercpu_time_millis_testing: 4.273, usercpu_time_millis_training: 64.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8181, kappa: 0.3048, kb_relative_information_score: 551.1635, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.874, predictive_accuracy: 0.8579, prior_entropy: 0.6786, recall: 0.8579, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.7987, scimark_benchmark: 1317.0342, usercpu_time_millis: 31.205, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 29.475,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8318, kappa: 0.3593, kb_relative_information_score: 584.0847, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8807, predictive_accuracy: 0.8658, prior_entropy: 0.6786, recall: 0.8658, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.7895, scimark_benchmark: 1298.0328, usercpu_time_millis: 189.929, usercpu_time_millis_testing: 5.523, usercpu_time_millis_training: 184.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8222, kappa: 0.3218, kb_relative_information_score: 502.6696, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8714, predictive_accuracy: 0.8596, prior_entropy: 0.6786, recall: 0.8596, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8027, scimark_benchmark: 1305.3073, usercpu_time_millis: 62.275, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 58.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8802, kappa: 0.5531, kb_relative_information_score: 745.8854, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9053, predictive_accuracy: 0.897, prior_entropy: 0.6786, recall: 0.897, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.7354, scimark_benchmark: 1297.2732, usercpu_time_millis: 484.267, usercpu_time_millis_testing: 10.546, usercpu_time_millis_training: 473.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8742, kappa: 0.5294, kb_relative_information_score: 724.0181, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9001, predictive_accuracy: 0.8924, prior_entropy: 0.6786, recall: 0.8924, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.7415, scimark_benchmark: 1316.0692, usercpu_time_millis: 266.115, usercpu_time_millis_testing: 6.209, usercpu_time_millis_training: 259.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8414, kappa: 0.3985, kb_relative_information_score: 569.0281, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8809, predictive_accuracy: 0.8708, prior_entropy: 0.6786, recall: 0.8708, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.7834, scimark_benchmark: 1313.7303, usercpu_time_millis: 27.908, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 26.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8708, kappa: 0.5163, kb_relative_information_score: 766.3058, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8973, predictive_accuracy: 0.8899, prior_entropy: 0.6786, recall: 0.8899, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.283, root_relative_squared_error: 0.7381, scimark_benchmark: 1300.1093, usercpu_time_millis: 184.946, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 179.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8686, kappa: 0.5078, kb_relative_information_score: 686.0904, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8952, predictive_accuracy: 0.8882, prior_entropy: 0.6786, recall: 0.8882, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.7507, scimark_benchmark: 1295.3413, usercpu_time_millis: 39.796, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 38.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.7784, kappa: 0.1476, kb_relative_information_score: 428.7269, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8529, predictive_accuracy: 0.8371, prior_entropy: 0.6786, recall: 0.8371, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8282, scimark_benchmark: 1315.6994, usercpu_time_millis: 111.706, usercpu_time_millis_testing: 5.285, usercpu_time_millis_training: 106.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7402, kb_relative_information_score: 123.8318, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.9192, scimark_benchmark: 1318.0631, usercpu_time_millis: 44.852, usercpu_time_millis_testing: 3.806, usercpu_time_millis_training: 41.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.825, kappa: 0.3327, kb_relative_information_score: 559.522, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8759, predictive_accuracy: 0.8617, prior_entropy: 0.6786, recall: 0.8617, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.7938, scimark_benchmark: 1289.5657, usercpu_time_millis: 108.275, usercpu_time_millis_testing: 4.619, usercpu_time_millis_training: 103.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8709, kappa: 0.5173, kb_relative_information_score: 741.108, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8952, predictive_accuracy: 0.8895, prior_entropy: 0.6786, recall: 0.8895, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.7406, scimark_benchmark: 1317.7563, usercpu_time_millis: 230.063, usercpu_time_millis_testing: 7.823, usercpu_time_millis_training: 222.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8279, kappa: 0.3441, kb_relative_information_score: 517.222, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8773, predictive_accuracy: 0.8633, prior_entropy: 0.6786, recall: 0.8633, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8007, scimark_benchmark: 1303.5363, usercpu_time_millis: 86.471, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 82.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8691, kappa: 0.5101, kb_relative_information_score: 740.9682, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.894, predictive_accuracy: 0.8882, prior_entropy: 0.6786, recall: 0.8882, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.7438, scimark_benchmark: 1280.0801, usercpu_time_millis: 24.24, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 23.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.7893, kappa: 0.1906, kb_relative_information_score: 447.4442, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8593, predictive_accuracy: 0.8425, prior_entropy: 0.6786, recall: 0.8425, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8208, scimark_benchmark: 1282.4948, usercpu_time_millis: 24.222, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 22.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8129, kappa: 0.2841, kb_relative_information_score: 553.2239, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8714, predictive_accuracy: 0.855, prior_entropy: 0.6786, recall: 0.855, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7982, scimark_benchmark: 1292.4642, usercpu_time_millis: 51.032, usercpu_time_millis_testing: 2.498, usercpu_time_millis_training: 48.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.799, kappa: 0.2289, kb_relative_information_score: 513.6948, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8645, predictive_accuracy: 0.8475, prior_entropy: 0.6786, recall: 0.8475, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8054, scimark_benchmark: 1311.6588, usercpu_time_millis: 104.357, usercpu_time_millis_testing: 7.355, usercpu_time_millis_training: 97.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.7402, kb_relative_information_score: 37.8022, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9701, scimark_benchmark: 1318.0678, usercpu_time_millis: 17.24, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 15.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.843, kappa: 0.4053, kb_relative_information_score: 626.4967, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8807, predictive_accuracy: 0.8716, prior_entropy: 0.6786, recall: 0.8716, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.7728, scimark_benchmark: 1314.5426, usercpu_time_millis: 159.566, usercpu_time_millis_testing: 9.122, usercpu_time_millis_training: 150.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8941, kappa: 0.6081, kb_relative_information_score: 912.7514, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9133, predictive_accuracy: 0.9069, prior_entropy: 0.6786, recall: 0.9069, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.7034, scimark_benchmark: 1321.7908, usercpu_time_millis: 262.155, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 260.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7442, kappa: 0.0151, kb_relative_information_score: 368.6374, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8541, predictive_accuracy: 0.8226, prior_entropy: 0.6786, recall: 0.8226, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.8484, scimark_benchmark: 1317.4296, usercpu_time_millis: 27.207, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 25.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7402, kb_relative_information_score: 71.3126, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9389, scimark_benchmark: 1294.9894, usercpu_time_millis: 10.032, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 8.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8052, kappa: 0.2537, kb_relative_information_score: 528.967, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8676, predictive_accuracy: 0.8509, prior_entropy: 0.6786, recall: 0.8509, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.8032, scimark_benchmark: 1291.5107, usercpu_time_millis: 160.741, usercpu_time_millis_testing: 7.495, usercpu_time_millis_training: 153.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7402, kb_relative_information_score: 127.8129, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.9214, scimark_benchmark: 1306.2861, usercpu_time_millis: 14.961, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 13.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7402, kb_relative_information_score: 301.4491, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8635, scimark_benchmark: 1283.8388, usercpu_time_millis: 52.655, usercpu_time_millis_testing: 2.95, usercpu_time_millis_training: 49.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8243, kappa: 0.3299, kb_relative_information_score: 552.2919, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8755, predictive_accuracy: 0.8612, prior_entropy: 0.6786, recall: 0.8612, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7955, scimark_benchmark: 1316.581, usercpu_time_millis: 144.212, usercpu_time_millis_testing: 5.93, usercpu_time_millis_training: 138.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8377, kappa: 0.3831, kb_relative_information_score: 620.6555, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8824, predictive_accuracy: 0.8691, prior_entropy: 0.6786, recall: 0.8691, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.781, scimark_benchmark: 1292.0473, usercpu_time_millis: 82.668, usercpu_time_millis_testing: 2.674, usercpu_time_millis_training: 79.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8879, kappa: 0.5843, kb_relative_information_score: 831.0735, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9075, predictive_accuracy: 0.902, prior_entropy: 0.6786, recall: 0.902, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.7149, scimark_benchmark: 1313.0916, usercpu_time_millis: 168.673, usercpu_time_millis_testing: 3.908, usercpu_time_millis_training: 164.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7402, kb_relative_information_score: 310.6851, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.8595, scimark_benchmark: 1309.3949, usercpu_time_millis: 94.12, usercpu_time_millis_testing: 4.365, usercpu_time_millis_training: 89.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.83, kappa: 0.3526, kb_relative_information_score: 576.6739, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8784, predictive_accuracy: 0.8646, prior_entropy: 0.6786, recall: 0.8646, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7902, scimark_benchmark: 1319.6906, usercpu_time_millis: 107.574, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 103.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8594, kappa: 0.471, kb_relative_information_score: 663.6579, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8895, predictive_accuracy: 0.882, prior_entropy: 0.6786, recall: 0.882, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.7581, scimark_benchmark: 1306.5257, usercpu_time_millis: 113.982, usercpu_time_millis_testing: 3.664, usercpu_time_millis_training: 110.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.853, kappa: 0.4442, kb_relative_information_score: 681.1282, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8905, predictive_accuracy: 0.8787, prior_entropy: 0.6786, recall: 0.8787, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.7639, scimark_benchmark: 1317.6457, usercpu_time_millis: 176.068, usercpu_time_millis_testing: 4.204, usercpu_time_millis_training: 171.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8857, kappa: 0.5747, kb_relative_information_score: 824.4875, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9079, predictive_accuracy: 0.9007, prior_entropy: 0.6786, recall: 0.9007, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.7203, scimark_benchmark: 1315.5683, usercpu_time_millis: 416.127, usercpu_time_millis_testing: 9.603, usercpu_time_millis_training: 406.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8042, kappa: 0.2496, kb_relative_information_score: 509.951, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.865, predictive_accuracy: 0.85, prior_entropy: 0.6786, recall: 0.85, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.8064, scimark_benchmark: 1293.9697, usercpu_time_millis: 41.434, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 38.893,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8441, kappa: 0.4089, kb_relative_information_score: 604.268, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8846, predictive_accuracy: 0.8729, prior_entropy: 0.6786, recall: 0.8729, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7776, scimark_benchmark: 1310.5955, usercpu_time_millis: 111.526, usercpu_time_millis_testing: 4.583, usercpu_time_millis_training: 106.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7848, kappa: 0.1732, kb_relative_information_score: 478.1061, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8538, predictive_accuracy: 0.8401, prior_entropy: 0.6786, recall: 0.8401, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.8188, scimark_benchmark: 1297.4216, usercpu_time_millis: 33.232, usercpu_time_millis_testing: 2.801, usercpu_time_millis_training: 30.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.882, kappa: 0.56, kb_relative_information_score: 768.8646, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9063, predictive_accuracy: 0.8982, prior_entropy: 0.6786, recall: 0.8982, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.7292, scimark_benchmark: 1317.6573, usercpu_time_millis: 500.564, usercpu_time_millis_testing: 9.333, usercpu_time_millis_training: 491.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.7953, kappa: 0.2141, kb_relative_information_score: 498.1339, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8651, predictive_accuracy: 0.8459, prior_entropy: 0.6786, recall: 0.8459, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.8122, scimark_benchmark: 1298.7891, usercpu_time_millis: 124.369, usercpu_time_millis_testing: 5.744, usercpu_time_millis_training: 118.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7402, kb_relative_information_score: 181.1346, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.9135, scimark_benchmark: 1298.5737, usercpu_time_millis: 13.703, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 12.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8893, kappa: 0.5891, kb_relative_information_score: 831.7873, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9096, predictive_accuracy: 0.9032, prior_entropy: 0.6786, recall: 0.9032, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7177, scimark_benchmark: 1296.7773, usercpu_time_millis: 544.184, usercpu_time_millis_testing: 10.04, usercpu_time_millis_training: 534.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8516, kappa: 0.4392, kb_relative_information_score: 679.3181, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8877, predictive_accuracy: 0.8774, prior_entropy: 0.6786, recall: 0.8774, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.7638, scimark_benchmark: 1282.9797, usercpu_time_millis: 64.5, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 62.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8734, kappa: 0.5269, kb_relative_information_score: 741.324, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8982, predictive_accuracy: 0.8916, prior_entropy: 0.6786, recall: 0.8916, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.7417, scimark_benchmark: 1318.3268, usercpu_time_millis: 174.36, usercpu_time_millis_testing: 5.103, usercpu_time_millis_training: 169.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8885, kappa: 0.5865, kb_relative_information_score: 819.2631, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9079, predictive_accuracy: 0.9024, prior_entropy: 0.6786, recall: 0.9024, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.276, root_relative_squared_error: 0.7198, scimark_benchmark: 1315.4804, usercpu_time_millis: 176.68, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 172.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8325, kappa: 0.3621, kb_relative_information_score: 583.604, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8811, predictive_accuracy: 0.8662, prior_entropy: 0.6786, recall: 0.8662, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.7892, scimark_benchmark: 1315.7297, usercpu_time_millis: 94.626, usercpu_time_millis_testing: 3.672, usercpu_time_millis_training: 90.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7595, kappa: 0.074, kb_relative_information_score: 414.9444, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8586, predictive_accuracy: 0.8292, prior_entropy: 0.6786, recall: 0.8292, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.834, scimark_benchmark: 1307.69, usercpu_time_millis: 39.458, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 37.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7623, kappa: 0.0847, kb_relative_information_score: 388.8739, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8595, predictive_accuracy: 0.8305, prior_entropy: 0.6786, recall: 0.8305, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8409, scimark_benchmark: 1319.648, usercpu_time_millis: 15.094, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 13.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.84, kappa: 0.3931, kb_relative_information_score: 630.0519, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8801, predictive_accuracy: 0.87, prior_entropy: 0.6786, recall: 0.87, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7753, scimark_benchmark: 1299.5094, usercpu_time_millis: 209.621, usercpu_time_millis_testing: 9.245, usercpu_time_millis_training: 200.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8437, kappa: 0.4074, kb_relative_information_score: 607.5683, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8856, predictive_accuracy: 0.8729, prior_entropy: 0.6786, recall: 0.8729, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.778, scimark_benchmark: 1288.2542, usercpu_time_millis: 199.05, usercpu_time_millis_testing: 6.921, usercpu_time_millis_training: 192.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8522, kappa: 0.4419, kb_relative_information_score: 616.4717, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8861, predictive_accuracy: 0.8774, prior_entropy: 0.6786, recall: 0.8774, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.7733, scimark_benchmark: 1314.5224, usercpu_time_millis: 28.224, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 26.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7835, kappa: 0.1676, kb_relative_information_score: 415.0622, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.856, predictive_accuracy: 0.8396, prior_entropy: 0.6786, recall: 0.8396, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8289, scimark_benchmark: 1281.6329, usercpu_time_millis: 56.37, usercpu_time_millis_testing: 2.639, usercpu_time_millis_training: 53.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.825, kappa: 0.3327, kb_relative_information_score: 577.989, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8759, predictive_accuracy: 0.8617, prior_entropy: 0.6786, recall: 0.8617, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.7908, scimark_benchmark: 1321.1701, usercpu_time_millis: 165.165, usercpu_time_millis_testing: 6.364, usercpu_time_millis_training: 158.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.751, kappa: 0.0412, kb_relative_information_score: 414.9253, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8561, predictive_accuracy: 0.8255, prior_entropy: 0.6786, recall: 0.8255, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.84, scimark_benchmark: 1291.4106, usercpu_time_millis: 66.484, usercpu_time_millis_testing: 5.062, usercpu_time_millis_training: 61.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8743, kappa: 0.5296, kb_relative_information_score: 767.7883, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9017, predictive_accuracy: 0.8928, prior_entropy: 0.6786, recall: 0.8928, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.283, root_relative_squared_error: 0.738, scimark_benchmark: 1315.1904, usercpu_time_millis: 235.89, usercpu_time_millis_testing: 5.294, usercpu_time_millis_training: 230.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9627, kappa: 0.8684, kb_relative_information_score: 1733.2988, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9656, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.4666, scimark_benchmark: 1322.7326, usercpu_time_millis: 2854.876, usercpu_time_millis_testing: 4.572, usercpu_time_millis_training: 2850.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.765, kappa: 0.0954, kb_relative_information_score: 427.8814, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8604, predictive_accuracy: 0.8317, prior_entropy: 0.6786, recall: 0.8317, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8311, scimark_benchmark: 1315.3724, usercpu_time_millis: 102.952, usercpu_time_millis_testing: 3.952, usercpu_time_millis_training: 99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8635, kappa: 0.486, kb_relative_information_score: 706.1897, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8972, predictive_accuracy: 0.8858, prior_entropy: 0.6786, recall: 0.8858, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.7507, scimark_benchmark: 1299.6239, usercpu_time_millis: 111.301, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 108.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8639, kappa: 0.4884, kb_relative_information_score: 673.6537, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8939, predictive_accuracy: 0.8853, prior_entropy: 0.6786, recall: 0.8853, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.7549, scimark_benchmark: 1292.6719, usercpu_time_millis: 294.343, usercpu_time_millis_testing: 8.999, usercpu_time_millis_training: 285.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.7934, kappa: 0.2067, kb_relative_information_score: 494.3676, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8615, predictive_accuracy: 0.8446, prior_entropy: 0.6786, recall: 0.8446, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.8084, scimark_benchmark: 1299.9306, usercpu_time_millis: 161.617, usercpu_time_millis_testing: 10.818, usercpu_time_millis_training: 150.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8712, kappa: 0.5175, kb_relative_information_score: 732.1268, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8983, predictive_accuracy: 0.8903, prior_entropy: 0.6786, recall: 0.8903, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.7426, scimark_benchmark: 1301.8159, usercpu_time_millis: 62.088, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 59.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.848, kappa: 0.4247, kb_relative_information_score: 638.1425, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8868, predictive_accuracy: 0.8754, prior_entropy: 0.6786, recall: 0.8754, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.7738, scimark_benchmark: 1295.6487, usercpu_time_millis: 49.357, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 47.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8363, kappa: 0.3776, kb_relative_information_score: 614.7657, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8817, predictive_accuracy: 0.8683, prior_entropy: 0.6786, recall: 0.8683, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7814, scimark_benchmark: 1299.7627, usercpu_time_millis: 179.439, usercpu_time_millis_testing: 5.466, usercpu_time_millis_training: 173.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8684, kappa: 0.5067, kb_relative_information_score: 711.4612, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8958, predictive_accuracy: 0.8882, prior_entropy: 0.6786, recall: 0.8882, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.7501, scimark_benchmark: 1278.8161, usercpu_time_millis: 62.452, usercpu_time_millis_testing: 2.497, usercpu_time_millis_training: 59.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7402, kb_relative_information_score: 175.858, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.8962, scimark_benchmark: 1294.4022, usercpu_time_millis: 43.376, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 40.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8683, kappa: 0.5056, kb_relative_information_score: 757.5605, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8982, predictive_accuracy: 0.8887, prior_entropy: 0.6786, recall: 0.8887, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.743, scimark_benchmark: 1295.1898, usercpu_time_millis: 399.916, usercpu_time_millis_testing: 8.27, usercpu_time_millis_training: 391.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8085, kappa: 0.2668, kb_relative_information_score: 464.8533, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8654, predictive_accuracy: 0.8521, prior_entropy: 0.6786, recall: 0.8521, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8132, scimark_benchmark: 1321.0484, usercpu_time_millis: 88.77, usercpu_time_millis_testing: 5.171, usercpu_time_millis_training: 83.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.7402, kb_relative_information_score: 340.7009, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8557, scimark_benchmark: 1289.3097, usercpu_time_millis: 61.969, usercpu_time_millis_testing: 3.783, usercpu_time_millis_training: 58.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7519, kappa: 0.0449, kb_relative_information_score: 418.2108, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8564, predictive_accuracy: 0.8259, prior_entropy: 0.6786, recall: 0.8259, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8391, scimark_benchmark: 1314.8139, usercpu_time_millis: 47.968, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 44.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8714, kappa: 0.5187, kb_relative_information_score: 698.9694, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8977, predictive_accuracy: 0.8903, prior_entropy: 0.6786, recall: 0.8903, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.7484, scimark_benchmark: 1288.5159, usercpu_time_millis: 370.873, usercpu_time_millis_testing: 9.544, usercpu_time_millis_training: 361.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8467, kappa: 0.4195, kb_relative_information_score: 645.8485, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8861, predictive_accuracy: 0.8745, prior_entropy: 0.6786, recall: 0.8745, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.7713, scimark_benchmark: 1299.2386, usercpu_time_millis: 188.209, usercpu_time_millis_testing: 5.392, usercpu_time_millis_training: 182.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7402, kb_relative_information_score: 61.4694, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9503, scimark_benchmark: 1293.0407, usercpu_time_millis: 39.182, usercpu_time_millis_testing: 3.632, usercpu_time_millis_training: 35.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8625, kappa: 0.4834, kb_relative_information_score: 708.5571, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8914, predictive_accuracy: 0.8841, prior_entropy: 0.6786, recall: 0.8841, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.7506, scimark_benchmark: 1311.835, usercpu_time_millis: 274.412, usercpu_time_millis_testing: 10.001, usercpu_time_millis_training: 264.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7722, kappa: 0.1233, kb_relative_information_score: 446.2863, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8627, predictive_accuracy: 0.8351, prior_entropy: 0.6786, recall: 0.8351, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8269, scimark_benchmark: 1315.7296, usercpu_time_millis: 46.912, usercpu_time_millis_testing: 2.921, usercpu_time_millis_training: 43.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9095, kappa: 0.6674, kb_relative_information_score: 1031.0754, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.925, predictive_accuracy: 0.919, prior_entropy: 0.6786, recall: 0.919, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6742, scimark_benchmark: 1306.8344, usercpu_time_millis: 1756.025, usercpu_time_millis_testing: 6.572, usercpu_time_millis_training: 1749.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9631, kappa: 0.8698, kb_relative_information_score: 1661.2067, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9661, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.483, scimark_benchmark: 1325.3815, usercpu_time_millis: 7123.346, usercpu_time_millis_testing: 6.139, usercpu_time_millis_training: 7117.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9659, kappa: 0.88, kb_relative_information_score: 1807.163, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.4443, scimark_benchmark: 1326.8468, usercpu_time_millis: 3472.404, usercpu_time_millis_testing: 3.526, usercpu_time_millis_training: 3468.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9572, kappa: 0.848, kb_relative_information_score: 1535.652, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9612, predictive_accuracy: 0.9593, prior_entropy: 0.6786, recall: 0.9593, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.5222, scimark_benchmark: 1300.223, usercpu_time_millis: 5914.838, usercpu_time_millis_testing: 7.831, usercpu_time_millis_training: 5907.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.7471, kappa: 0.0264, kb_relative_information_score: 353.1443, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.855, predictive_accuracy: 0.8238, prior_entropy: 0.6786, recall: 0.8238, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8499, scimark_benchmark: 1315.2782, usercpu_time_millis: 32.984, usercpu_time_millis_testing: 2.51, usercpu_time_millis_training: 30.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8311, kappa: 0.3575, kb_relative_information_score: 561.1375, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.875, predictive_accuracy: 0.8646, prior_entropy: 0.6786, recall: 0.8646, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.7891, scimark_benchmark: 1288.4164, usercpu_time_millis: 152.494, usercpu_time_millis_testing: 7.349, usercpu_time_millis_training: 145.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8532, kappa: 0.4457, kb_relative_information_score: 635.059, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8876, predictive_accuracy: 0.8783, prior_entropy: 0.6786, recall: 0.8783, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.7689, scimark_benchmark: 1311.0314, usercpu_time_millis: 250.253, usercpu_time_millis_testing: 8.157, usercpu_time_millis_training: 242.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8444, kappa: 0.4101, kb_relative_information_score: 623.2342, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8859, predictive_accuracy: 0.8733, prior_entropy: 0.6786, recall: 0.8733, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7777, scimark_benchmark: 1303.6695, usercpu_time_millis: 215.917, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 209.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.8067, kappa: 0.2961, kb_relative_information_score: 193.8518, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8, predictive_accuracy: 0.8238, prior_entropy: 0.6786, recall: 0.8238, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9392, scimark_benchmark: 1311.3527, usercpu_time_millis: 7.932, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 6.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8591, kappa: 0.4698, kb_relative_information_score: 659.8097, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8902, predictive_accuracy: 0.882, prior_entropy: 0.6786, recall: 0.882, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.292, root_relative_squared_error: 0.7615, scimark_benchmark: 1320.5245, usercpu_time_millis: 238.433, usercpu_time_millis_testing: 7.787, usercpu_time_millis_training: 230.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8407, kappa: 0.3951, kb_relative_information_score: 626.5035, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8852, predictive_accuracy: 0.8712, prior_entropy: 0.6786, recall: 0.8712, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7785, scimark_benchmark: 1293.372, usercpu_time_millis: 260.983, usercpu_time_millis_testing: 7.079, usercpu_time_millis_training: 253.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8642, kappa: 0.4896, kb_relative_information_score: 726.4579, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.895, predictive_accuracy: 0.8858, prior_entropy: 0.6786, recall: 0.8858, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.7476, scimark_benchmark: 1296.8539, usercpu_time_millis: 194.218, usercpu_time_millis_testing: 3.806, usercpu_time_millis_training: 190.412,

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