Task
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, build_cpu_time: 0.2984, build_memory: 99091680.3504, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 141.046, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9544, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, build_cpu_time: 0.0179, build_memory: 929374709.2555, f_measure: 0.7081, kappa: 0.4162, kb_relative_information_score: 109.9145, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7084, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, build_cpu_time: 0.0677, build_memory: 1323339851.9416, f_measure: 0.719, kappa: 0.4381, kb_relative_information_score: 117.9749, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7195, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9826, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, build_cpu_time: 0.1152, build_memory: 1303566436.3796, f_measure: 0.7591, kappa: 0.5186, kb_relative_information_score: 109.8983, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7603, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8338, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0116, build_memory: 1219699563.1533, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0105, build_memory: 333143436.8467, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.013, build_memory: 449904459.5037, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0108, build_memory: 606970810.7737, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.0103, build_memory: 1102523766.0438, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.0219, build_memory: 485708496.9051, f_measure: 0.7227, kappa: 0.4453, kb_relative_information_score: 119.0735, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.723, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9687, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, build_cpu_time: 0.1393, build_memory: 889438789.8102, f_measure: 0.7044, kappa: 0.4089, kb_relative_information_score: 113.952, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7049, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0338, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, build_cpu_time: 0.0054, build_memory: 1525242234.3942, f_measure: 0.6931, kappa: 0.386, kb_relative_information_score: 98.0431, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6935, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9493, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 940.2751, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7254, kappa: 0.4512, kb_relative_information_score: 70.2798, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7278, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8704, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7445, kappa: 0.4886, kb_relative_information_score: 78.9152, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7445, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8458, scimark_benchmark: 935.8834, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, build_cpu_time: 0.1201, build_memory: 1035912835.854, f_measure: 0.7001, kappa: 0.4002, kb_relative_information_score: 72.3422, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7013, predictive_accuracy: 0.7007, prior_entropy: 0.9997, recall: 0.7007, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8926, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.3599, kappa: 0.0079, kb_relative_information_score: 7.8172, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.5881, predictive_accuracy: 0.5146, prior_entropy: 0.9997, recall: 0.5146, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6967, root_relative_squared_error: 1.3937, scimark_benchmark: 947.0793, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7227, kappa: 0.4452, kb_relative_information_score: 119.7092, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0012, scimark_benchmark: 912.3844, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7153, kappa: 0.4302, kb_relative_information_score: 91.6424, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.86, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7116, kappa: 0.4239, kb_relative_information_score: 101.9886, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.713, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9333, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 125.8977, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7332, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0396, scimark_benchmark: 908.0036, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.711, kappa: 0.4221, kb_relative_information_score: 100.6969, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.858, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7335, kappa: 0.4666, kb_relative_information_score: 124.0784, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9223, scimark_benchmark: 935.8986, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, f_measure: 0.3081, kappa: -0.0585, kb_relative_information_score: -22.2033, mean_absolute_error: 0.5401, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2317, predictive_accuracy: 0.4599, prior_entropy: 0.9997, recall: 0.4599, relative_absolute_error: 1.0808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7349, root_relative_squared_error: 1.4702, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3456, kb_relative_information_score: 5.8158, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.399, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.3456, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 939.2687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 0.08, build_memory: 58975284.3796, f_measure: 0.7444, kappa: 0.4896, kb_relative_information_score: 134.393, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7462, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9535, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2362, build_memory: 35285256.3796, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2209, build_memory: 65705404.7591, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, build_cpu_time: 0.6618, build_memory: 776725765.3431, f_measure: 0.7627, kappa: 0.526, kb_relative_information_score: 142.3569, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7643, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9559, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, build_cpu_time: 0.6302, build_memory: 1066686557.8394, f_measure: 0.7627, kappa: 0.526, kb_relative_information_score: 142.3569, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7643, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9559, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 1.5182, build_memory: 132449545.3723, f_measure: 0.7589, kappa: 0.5189, kb_relative_information_score: 140.3298, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7616, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9756, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, build_cpu_time: 5.9092, build_memory: 2171343670.1898, f_measure: 0.7336, kappa: 0.4675, kb_relative_information_score: 112.1127, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7345, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8414, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, build_cpu_time: 12.667, build_memory: 1357403686.1898, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 112.6689, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 944.2629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, build_cpu_time: 0.0103, build_memory: 390257540.4964, f_measure: 0.3141, kappa: -0.1035, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3019, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 937.2747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0291, build_memory: 868060339.3285, f_measure: 0.7408, kappa: 0.4813, kb_relative_information_score: 98.4979, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7409, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8356, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0314, build_memory: 900640887.3577, f_measure: 0.7408, kappa: 0.4813, kb_relative_information_score: 98.4979, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7409, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8356, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, build_cpu_time: 0.0601, build_memory: 770123400.8175, f_measure: 0.7445, kappa: 0.4888, kb_relative_information_score: 102.4209, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7445, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.822, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.0124, build_memory: 288060800.8467, f_measure: 0.7438, kappa: 0.4903, kb_relative_information_score: 102.346, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7495, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8835, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, build_cpu_time: 0.1194, build_memory: 420295953.635, f_measure: 0.6808, kappa: 0.375, kb_relative_information_score: 96.066, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7085, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.0619, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, build_cpu_time: 0.0003, build_memory: 230530463.0657, f_measure: 0.5164, kappa: 0.0339, kb_relative_information_score: 9.8186, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.5173, predictive_accuracy: 0.5182, prior_entropy: 0.9997, recall: 0.5182, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6941, root_relative_squared_error: 1.3885, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, build_cpu_time: 0.2733, build_memory: 883707340.292, f_measure: 0.6808, kappa: 0.375, kb_relative_information_score: 99.0637, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7085, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0519, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7701, kappa: 0.5401, kb_relative_information_score: 111.8158, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7703, predictive_accuracy: 0.7701, prior_entropy: 0.9997, recall: 0.7701, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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