Task
Supervised Classification on fri_c0_500_50

Supervised Classification on fri_c0_500_50

Task 3751 Supervised Classification fri_c0_500_50 569 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 6.3028, build_memory: 554339377.6, f_measure: 0.8578, kappa: 0.7155, kb_relative_information_score: 354.58, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8588, predictive_accuracy: 0.858, prior_entropy: 0.9996, recall: 0.858, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7439, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 2.95, build_memory: 280582448, f_measure: 0.8519, kappa: 0.7037, kb_relative_information_score: 351.6767, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7459, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, build_cpu_time: 0.1479, build_memory: 1546406414.4, f_measure: 0.6518, kappa: 0.3032, kb_relative_information_score: 145.122, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6519, predictive_accuracy: 0.652, prior_entropy: 0.9996, recall: 0.652, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.0835, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, build_cpu_time: 0.5433, build_memory: 1331510393.6, f_measure: 0.6697, kappa: 0.3389, kb_relative_information_score: 165.987, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.67, predictive_accuracy: 0.67, prior_entropy: 0.9996, recall: 0.67, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1168, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, build_cpu_time: 0.2638, build_memory: 440110407.2, f_measure: 0.8292, kappa: 0.6589, kb_relative_information_score: 155.4706, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7813, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, build_cpu_time: 0.3061, build_memory: 936648592.8, f_measure: 0.8292, kappa: 0.6589, kb_relative_information_score: 155.4706, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7813, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, build_cpu_time: 0.7211, build_memory: 2957118856.8, f_measure: 0.844, kappa: 0.6878, kb_relative_information_score: 337.0206, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7499, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, build_cpu_time: 0.7582, build_memory: 840650941.6, f_measure: 0.844, kappa: 0.6878, kb_relative_information_score: 337.0206, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7499, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.4222, build_memory: 649545939.2, f_measure: 0.858, kappa: 0.7159, kb_relative_information_score: 346.4871, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9996, recall: 0.858, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7153, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, build_cpu_time: 0.0611, build_memory: 503113917.6, f_measure: 0.66, kappa: 0.3196, kb_relative_information_score: 136.8081, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9996, recall: 0.66, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0421, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, build_cpu_time: 0.7064, build_memory: 1293314794.4, f_measure: 0.844, kappa: 0.6878, kb_relative_information_score: 338.283, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7457, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, build_cpu_time: 0.2258, build_memory: 723024656, f_measure: 0.848, kappa: 0.6959, kb_relative_information_score: 334.7748, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9996, recall: 0.848, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7044, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, build_cpu_time: 0.2781, build_memory: 746150788.8, f_measure: 0.664, kappa: 0.3275, kb_relative_information_score: 160.7275, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6639, predictive_accuracy: 0.664, prior_entropy: 0.9996, recall: 0.664, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.1027, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, build_cpu_time: 0.9682, build_memory: 657935432, f_measure: 0.6679, kappa: 0.3354, kb_relative_information_score: 172.2834, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6679, predictive_accuracy: 0.668, prior_entropy: 0.9996, recall: 0.668, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.1146, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7619, kappa: 0.5234, kb_relative_information_score: 100.1233, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.762, predictive_accuracy: 0.762, prior_entropy: 0.9996, recall: 0.762, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8743, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7818, kappa: 0.5633, kb_relative_information_score: 118.5128, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7823, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.842, scimark_benchmark: 933.8635, usercpu_time_millis: 1290, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.786, kappa: 0.5718, kb_relative_information_score: 280.3417, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9996, recall: 0.786, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9058, scimark_benchmark: 904.3001, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 908.0036, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7875, kappa: 0.575, kb_relative_information_score: 287.8235, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7891, predictive_accuracy: 0.788, prior_entropy: 0.9996, recall: 0.788, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9211, scimark_benchmark: 935.8986, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8438, kappa: 0.6874, kb_relative_information_score: 344.7122, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.712, scimark_benchmark: 945.6434, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8617, kappa: 0.7233, kb_relative_information_score: 360.5423, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8639, predictive_accuracy: 0.862, prior_entropy: 0.9996, recall: 0.862, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7416, scimark_benchmark: 915.2795, usercpu_time_millis: 11440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.84, kappa: 0.6801, kb_relative_information_score: 280.3054, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8405, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6444, scimark_benchmark: 911.0478, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7689, kappa: 0.5414, kb_relative_information_score: 170.1155, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7832, predictive_accuracy: 0.772, prior_entropy: 0.9996, recall: 0.772, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8037, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, build_cpu_time: 0.9375, build_memory: 1099207424.8, f_measure: 0.802, kappa: 0.604, kb_relative_information_score: 279.0767, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9996, recall: 0.802, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8198, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 219.5056, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 0.9996, recall: 0.808, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7438, scimark_benchmark: 904.3001, usercpu_time_millis: 600, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.752, kappa: 0.5036, kb_relative_information_score: 231.6442, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9996, recall: 0.752, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.866, scimark_benchmark: 930.32, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8098, kappa: 0.6193, kb_relative_information_score: 301.3509, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8071, scimark_benchmark: 883.7187, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3468, kb_relative_information_score: 11.5958, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.2621, predictive_accuracy: 0.512, prior_entropy: 0.9996, recall: 0.512, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3975, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3468, kb_relative_information_score: -0.0316, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.2621, predictive_accuracy: 0.512, prior_entropy: 0.9996, recall: 0.512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8538, kappa: 0.7074, kb_relative_information_score: 353.3704, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8551, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, scimark_benchmark: 935.8834, usercpu_time_millis: 5440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.62, kappa: 0.2403, kb_relative_information_score: 123.448, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6206, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0166, scimark_benchmark: 932.236, usercpu_time_millis: 5180, usercpu_time_millis_testing: 5170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 10.1919, build_memory: 288972704.8, f_measure: 0.8489, kappa: 0.6988, kb_relative_information_score: 245.6359, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8574, predictive_accuracy: 0.85, prior_entropy: 0.9996, recall: 0.85, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6842, scimark_benchmark: 827.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 1.4464, build_memory: 1140913400, f_measure: 0.862, kappa: 0.7238, kb_relative_information_score: 363.5267, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9996, recall: 0.862, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6953, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 11.4957, build_memory: 920211942.4, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 338.2228, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8415, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7943, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 20.8154, build_memory: 759756260, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 341.6229, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7851, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 26.2364, build_memory: 1194129794.4, f_measure: 0.8397, kappa: 0.6793, kb_relative_information_score: 341.6229, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9996, recall: 0.84, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7851, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 46.0601, build_memory: 1170429264.8, f_measure: 0.8298, kappa: 0.6594, kb_relative_information_score: 277.7445, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6915, scimark_benchmark: 945.0883,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.7659, build_memory: 59657583.2, f_measure: 0.752, kappa: 0.5036, kb_relative_information_score: 231.6442, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9996, recall: 0.752, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.866, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, build_cpu_time: 1.8157, build_memory: 1645383790.4, f_measure: 0.8334, kappa: 0.667, kb_relative_information_score: 247.5244, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.837, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.705, scimark_benchmark: 929.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, build_cpu_time: 16.8378, build_memory: 1179904833.6, f_measure: 0.8428, kappa: 0.6867, kb_relative_information_score: 246.1524, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8516, predictive_accuracy: 0.844, prior_entropy: 0.9996, recall: 0.844, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.681, scimark_benchmark: 934.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 3.5689, build_memory: 507814720, f_measure: 0.8333, kappa: 0.6669, kb_relative_information_score: 247.5414, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8375, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7013, scimark_benchmark: 945.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 3.5217, build_memory: 1531780304.8, f_measure: 0.8333, kappa: 0.6669, kb_relative_information_score: 247.5414, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8375, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7013, scimark_benchmark: 906.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, build_cpu_time: 12.6086, build_memory: 1667899396.8, f_measure: 0.804, kappa: 0.6077, kb_relative_information_score: 283.4076, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7568, scimark_benchmark: 945.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 6.2274, build_memory: 619093499.2, f_measure: 0.814, kappa: 0.6277, kb_relative_information_score: 282.2757, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9996, recall: 0.814, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7579, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.8202, build_memory: 360069727.2, f_measure: 0.8077, kappa: 0.6152, kb_relative_information_score: 283.9387, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.809, predictive_accuracy: 0.808, prior_entropy: 0.9996, recall: 0.808, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7722, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 1.0695, build_memory: 640580635.2, f_measure: 0.8099, kappa: 0.6195, kb_relative_information_score: 281.3187, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7701, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 1.1165, build_memory: 795460247.2, f_measure: 0.8099, kappa: 0.6195, kb_relative_information_score: 281.3187, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7701, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0792, build_memory: 1350609647.2, f_measure: 0.728, kappa: 0.4558, kb_relative_information_score: 227.774, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0434, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0829, build_memory: 725928840.8, f_measure: 0.728, kappa: 0.4558, kb_relative_information_score: 227.774, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0434, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.1162, build_memory: 2068325043.2, f_measure: 0.728, kappa: 0.4558, kb_relative_information_score: 227.774, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0434, scimark_benchmark: 938.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0839, build_memory: 2444809854.4, f_measure: 0.728, kappa: 0.4558, kb_relative_information_score: 227.774, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0434, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.1159, build_memory: 609763695.2, f_measure: 0.728, kappa: 0.4558, kb_relative_information_score: 227.774, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9996, recall: 0.728, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0434, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, build_cpu_time: 0.0064, build_memory: 714641981.6, f_measure: 0.8039, kappa: 0.6075, kb_relative_information_score: 236.6471, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, build_cpu_time: 0.1622, build_memory: 887044654.4, f_measure: 0.7932, kappa: 0.5868, kb_relative_information_score: 154.8301, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7965, predictive_accuracy: 0.794, prior_entropy: 0.9996, recall: 0.794, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7937, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.2184, build_memory: 1397091029.6, f_measure: 0.8195, kappa: 0.639, kb_relative_information_score: 230.1642, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8221, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.732, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.279, build_memory: 3073640406.4, f_measure: 0.8195, kappa: 0.639, kb_relative_information_score: 230.1642, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8221, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.732, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, build_cpu_time: 0.4147, build_memory: 1148495485.6, f_measure: 0.8272, kappa: 0.6549, kb_relative_information_score: 236.482, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8317, predictive_accuracy: 0.828, prior_entropy: 0.9996, recall: 0.828, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.715, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, build_cpu_time: 1.8247, build_memory: 1206884368, f_measure: 0.8098, kappa: 0.6193, kb_relative_information_score: 285.0374, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7595, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 2.1556, build_memory: 978622294.4, f_measure: 0.831, kappa: 0.6628, kb_relative_information_score: 237.2872, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.837, predictive_accuracy: 0.832, prior_entropy: 0.9996, recall: 0.832, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, build_cpu_time: 3.178, build_memory: 577101984, f_measure: 0.8059, kappa: 0.6115, kb_relative_information_score: 282.0624, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8061, predictive_accuracy: 0.806, prior_entropy: 0.9996, recall: 0.806, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.764, scimark_benchmark: 939.7937,

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