OpenML
Supervised Classification on lymphoma_11classes

Supervised Classification on lymphoma_11classes

Task 4648 Supervised Classification lymphoma_11classes 116 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5771, kappa: 0.4958, kb_relative_information_score: 479.7308, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.585, predictive_accuracy: 0.5719, prior_entropy: 3.0892, recall: 0.5719, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9606, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.668, kappa: 0.6139, kb_relative_information_score: 586.8375, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6634, predictive_accuracy: 0.676, prior_entropy: 3.0892, recall: 0.676, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7589, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7491, kappa: 0.6934, kb_relative_information_score: 670.2393, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7669, predictive_accuracy: 0.7417, prior_entropy: 3.0892, recall: 0.7417, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.7352, scimark_benchmark: 931.771, usercpu_time_millis: 10816990, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 10814860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9159, kappa: 0.9022, kb_relative_information_score: 847.5249, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.9236, predictive_accuracy: 0.9167, prior_entropy: 3.0892, recall: 0.9167, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4385, scimark_benchmark: 941.6675, usercpu_time_millis: 750, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.6628, kappa: 0.6349, kb_relative_information_score: 447.9712, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6553, predictive_accuracy: 0.699, prior_entropy: 3.0892, recall: 0.699, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7692, scimark_benchmark: 938.191, usercpu_time_millis: 2320, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 938.5498, usercpu_time_millis: 4010, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 941.3847, usercpu_time_millis: 4520, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7866, kappa: 0.7782, kb_relative_information_score: 504.6872, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7894, predictive_accuracy: 0.8167, prior_entropy: 3.0892, recall: 0.8167, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.7178, scimark_benchmark: 947.1781, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5771, kappa: 0.4958, kb_relative_information_score: 479.7308, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.585, predictive_accuracy: 0.5719, prior_entropy: 3.0892, recall: 0.5719, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9606, scimark_benchmark: 942.2392, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7491, kappa: 0.6934, kb_relative_information_score: 670.2393, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7669, predictive_accuracy: 0.7417, prior_entropy: 3.0892, recall: 0.7417, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.7352, scimark_benchmark: 941.3057, usercpu_time_millis: 10809450, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 10807270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.668, kappa: 0.6139, kb_relative_information_score: 586.8375, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6634, predictive_accuracy: 0.676, prior_entropy: 3.0892, recall: 0.676, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7589, scimark_benchmark: 944.0133, usercpu_time_millis: 13740, usercpu_time_millis_training: 13740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 904.5548, usercpu_time_millis: 3320, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 906.0979, usercpu_time_millis: 3290, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9159, kappa: 0.9022, kb_relative_information_score: 847.5249, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.9236, predictive_accuracy: 0.9167, prior_entropy: 3.0892, recall: 0.9167, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4385, scimark_benchmark: 938.1282, usercpu_time_millis: 590, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.6628, kappa: 0.6349, kb_relative_information_score: 447.9712, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6553, predictive_accuracy: 0.699, prior_entropy: 3.0892, recall: 0.699, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7692, scimark_benchmark: 903.2737, usercpu_time_millis: 2220, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7866, kappa: 0.7782, kb_relative_information_score: 504.6872, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7894, predictive_accuracy: 0.8167, prior_entropy: 3.0892, recall: 0.8167, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.7178, scimark_benchmark: 938.988, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8513, kappa: 0.8504, kb_relative_information_score: 622.8637, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.8336, predictive_accuracy: 0.875, prior_entropy: 3.0892, recall: 0.875, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5876, scimark_benchmark: 870.2101, usercpu_time_millis: 726840, usercpu_time_millis_testing: 315450, usercpu_time_millis_training: 411390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8325, kappa: 0.829, kb_relative_information_score: 624.9811, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.8159, predictive_accuracy: 0.8573, prior_entropy: 3.0892, recall: 0.8573, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5991, scimark_benchmark: 945.0448, usercpu_time_millis: 118240, usercpu_time_millis_testing: 50810, usercpu_time_millis_training: 67430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7931, kappa: 0.7819, kb_relative_information_score: 617.2272, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7757, predictive_accuracy: 0.8177, prior_entropy: 3.0892, recall: 0.8177, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.6273, scimark_benchmark: 941.8684, usercpu_time_millis: 79060, usercpu_time_millis_testing: 32500, usercpu_time_millis_training: 46560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.394, f_measure: 0.1278, kappa: -0.0295, kb_relative_information_score: -0.3576, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.0998, predictive_accuracy: 0.2146, prior_entropy: 3.0892, recall: 0.2146, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.0023, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 941.9549, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 941.9549, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 941.9549, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.1278, kappa: -0.0295, kb_relative_information_score: 96.1731, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.0998, predictive_accuracy: 0.2146, prior_entropy: 3.0892, recall: 0.2146, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.3615, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.6893, kappa: 0.6527, kb_relative_information_score: 496.2429, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6773, predictive_accuracy: 0.7115, prior_entropy: 3.0892, recall: 0.7115, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.7392, scimark_benchmark: 922.8232, usercpu_time_millis: 6150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8071, kappa: 0.7878, kb_relative_information_score: 541.2223, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.8054, predictive_accuracy: 0.8208, prior_entropy: 3.0892, recall: 0.8208, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6855, scimark_benchmark: 906.0884, usercpu_time_millis: 39090, usercpu_time_millis_training: 39090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.2138, kappa: 0.096, kb_relative_information_score: 119.3163, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.265, predictive_accuracy: 0.3031, prior_entropy: 3.0892, recall: 0.3031, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9838, scimark_benchmark: 933.0918, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5771, kappa: 0.4958, kb_relative_information_score: 479.7308, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.585, predictive_accuracy: 0.5719, prior_entropy: 3.0892, recall: 0.5719, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9606, scimark_benchmark: 923.509, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.668, kappa: 0.6139, kb_relative_information_score: 586.8375, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6634, predictive_accuracy: 0.676, prior_entropy: 3.0892, recall: 0.676, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7589, scimark_benchmark: 938.9926, usercpu_time_millis: 12480, usercpu_time_millis_training: 12480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 928.8135, usercpu_time_millis: 1950, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 917.407, usercpu_time_millis: 3530, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9159, kappa: 0.9022, kb_relative_information_score: 847.5249, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.9236, predictive_accuracy: 0.9167, prior_entropy: 3.0892, recall: 0.9167, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4385, scimark_benchmark: 945.0194, usercpu_time_millis: 660, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7866, kappa: 0.7782, kb_relative_information_score: 504.6872, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7894, predictive_accuracy: 0.8167, prior_entropy: 3.0892, recall: 0.8167, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.7178, scimark_benchmark: 942.3809, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4064, kappa: 0.2867, kb_relative_information_score: 155.1948, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.4279, predictive_accuracy: 0.4219, prior_entropy: 3.0892, recall: 0.4219, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.9555, scimark_benchmark: 1305.7138, usercpu_time_millis: 5790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.4131, kappa: 0.3013, kb_relative_information_score: 306.3265, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.4213, predictive_accuracy: 0.4083, prior_entropy: 3.0892, recall: 0.4083, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.1753, scimark_benchmark: 1321.5205, usercpu_time_millis: 42180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 42170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.6947, kappa: 0.6822, kb_relative_information_score: 454.2795, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6902, predictive_accuracy: 0.7385, prior_entropy: 3.0892, recall: 0.7385, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.7545, scimark_benchmark: 1168.3268, usercpu_time_millis: 3240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8138, kappa: 0.8261, kb_relative_information_score: 742.9695, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7785, predictive_accuracy: 0.8552, prior_entropy: 3.0892, recall: 0.8552, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5846, scimark_benchmark: 1342.4239, usercpu_time_millis: 8480, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 5960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5771, kappa: 0.4958, kb_relative_information_score: 479.7308, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.585, predictive_accuracy: 0.5719, prior_entropy: 3.0892, recall: 0.5719, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9606, scimark_benchmark: 1330.7934, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.6961, kappa: 0.6674, kb_relative_information_score: 600.6348, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7309, predictive_accuracy: 0.7313, prior_entropy: 3.0892, recall: 0.7313, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7962, scimark_benchmark: 1326.014, usercpu_time_millis: 1790, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6953, kappa: 0.6675, kb_relative_information_score: 600.3224, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7284, predictive_accuracy: 0.7313, prior_entropy: 3.0892, recall: 0.7313, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7963, scimark_benchmark: 1326.014, usercpu_time_millis: 1710, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.5202, kappa: 0.4313, kb_relative_information_score: 400.3619, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.5217, predictive_accuracy: 0.526, prior_entropy: 3.0892, recall: 0.526, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9784, scimark_benchmark: 1325.5087, usercpu_time_millis: 2440, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 1307.2114, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.6882, kappa: 0.6565, kb_relative_information_score: 589.7046, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7274, predictive_accuracy: 0.7229, prior_entropy: 3.0892, recall: 0.7229, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.8085, scimark_benchmark: 1323.976, usercpu_time_millis: 4850, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.7276, kappa: 0.7337, kb_relative_information_score: 482.719, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6983, predictive_accuracy: 0.7802, prior_entropy: 3.0892, recall: 0.7802, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.7256, scimark_benchmark: 918.6005, usercpu_time_millis: 4850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7163, kappa: 0.6704, kb_relative_information_score: 613.1916, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7266, predictive_accuracy: 0.726, prior_entropy: 3.0892, recall: 0.726, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7886, scimark_benchmark: 1345.8373, usercpu_time_millis: 22570, usercpu_time_millis_training: 22570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.7257, kappa: 0.7286, kb_relative_information_score: 462.8973, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7253, predictive_accuracy: 0.7771, prior_entropy: 3.0892, recall: 0.7771, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.7399, scimark_benchmark: 1356.9539, usercpu_time_millis: 12860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6931, kappa: 0.6425, kb_relative_information_score: 619.5073, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7319, predictive_accuracy: 0.7042, prior_entropy: 3.0892, recall: 0.7042, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.8356, scimark_benchmark: 854.5188, usercpu_time_millis: 960, usercpu_time_millis_testing: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.4772, kappa: 0.4015, kb_relative_information_score: 97.0915, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6675, predictive_accuracy: 0.5281, prior_entropy: 3.0892, recall: 0.5281, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9832, scimark_benchmark: 912.7324, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.2431, kappa: 0.1367, kb_relative_information_score: 240.6912, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.2097, predictive_accuracy: 0.2958, prior_entropy: 3.0892, recall: 0.2958, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9604, scimark_benchmark: 1339.4189, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5772, kappa: 0.4979, kb_relative_information_score: 488.1788, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.5828, predictive_accuracy: 0.5771, prior_entropy: 3.0892, recall: 0.5771, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9579, scimark_benchmark: 854.5188, usercpu_time_millis: 861080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 861070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7186, kappa: 0.7161, kb_relative_information_score: 480.3446, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7318, predictive_accuracy: 0.7656, prior_entropy: 3.0892, recall: 0.7656, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.73, scimark_benchmark: 1363.454, usercpu_time_millis: 2130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.6919, kappa: 0.6849, kb_relative_information_score: 471.2308, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6719, predictive_accuracy: 0.7396, prior_entropy: 3.0892, recall: 0.7396, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.206, root_relative_squared_error: 0.7422, scimark_benchmark: 1363.434, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.7319, kappa: 0.6943, kb_relative_information_score: 639.2352, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.7423, predictive_accuracy: 0.7469, prior_entropy: 3.0892, recall: 0.7469, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.7364, scimark_benchmark: 1331.6907, usercpu_time_millis: 14480, usercpu_time_millis_training: 14480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.6628, kappa: 0.6349, kb_relative_information_score: 447.9712, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6553, predictive_accuracy: 0.699, prior_entropy: 3.0892, recall: 0.699, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7692, scimark_benchmark: 1331.6907, usercpu_time_millis: 2150, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 938.343, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 1321.9426, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 942.9518, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 942.9518, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.2195, kappa: 0.1054, kb_relative_information_score: 247.7134, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.206, predictive_accuracy: 0.2635, prior_entropy: 3.0892, recall: 0.2635, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.965, scimark_benchmark: 854.5188, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.4088, kappa: 0.3467, kb_relative_information_score: 494.4915, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.4507, predictive_accuracy: 0.475, prior_entropy: 3.0892, recall: 0.475, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8197, scimark_benchmark: 883.2709, usercpu_time_millis: 660, usercpu_time_millis_testing: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.4796, kappa: 0.4271, kb_relative_information_score: 534.5104, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6265, predictive_accuracy: 0.5375, prior_entropy: 3.0892, recall: 0.5375, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.8063, scimark_benchmark: 1333.5799, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7009, kappa: 0.7037, kb_relative_information_score: 136.5903, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1551, number_of_instances: 960, precision: 0.6693, predictive_accuracy: 0.7583, prior_entropy: 3.0892, recall: 0.7583, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9678, scimark_benchmark: 922.1419, usercpu_time_millis: 2870, usercpu_time_millis_testing: 2470, usercpu_time_millis_training: 400,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs