Task
Supervised Classification on pwLinear

Supervised Classification on pwLinear

Task 3587 Supervised Classification pwLinear 543 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: 0.8404, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 81.8749, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7672, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8849, kappa: 0.7696, kb_relative_information_score: 152.9509, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8852, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6818, scimark_benchmark: 945.3151, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 149.9548, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.707, scimark_benchmark: 929.566, usercpu_time_millis: 370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.865, kappa: 0.7298, kb_relative_information_score: 150.8722, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6549, scimark_benchmark: 911.3823, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8484, kappa: 0.6981, kb_relative_information_score: 121.2302, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.861, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7208, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.9839, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7026, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8363, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, scimark_benchmark: 917.1386, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 939.0833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.07, build_memory: 700591188.8, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.0964, build_memory: 1377478595.2, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 0.0792, build_memory: 792813783.2, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.616, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7143, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, build_cpu_time: 0.0668, build_memory: 579305456, f_measure: 0.845, kappa: 0.6896, kb_relative_information_score: 129.5552, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7161, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.0142, build_memory: 375699133.6, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 147.8284, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6339, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, build_cpu_time: 0.0176, build_memory: 367151552, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 149.9259, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6394, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, build_cpu_time: 0.0429, build_memory: 980985246.4, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.5719, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6347, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.0265, build_memory: 82283420.8, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.3628, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6383, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.0347, build_memory: 849938580.8, f_measure: 0.88, kappa: 0.7599, kb_relative_information_score: 151.3628, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6383, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0038, build_memory: 553263824, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0098, build_memory: 21154351.2, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0026, build_memory: 1981458356.8, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0014, build_memory: 1901255820, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.0011, build_memory: 1148920339.2, f_measure: 0.795, kappa: 0.59, kb_relative_information_score: 117.893, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9994, recall: 0.795, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0594, build_memory: 442391213.6, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0392, build_memory: 640115912.8, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0562, build_memory: 680338692, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0996, build_memory: 2212932446.4, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0841, build_memory: 515497422.4, f_measure: 0.9, kappa: 0.7997, kb_relative_information_score: 124.195, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5952, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0156, build_memory: 591541830.4, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.3533, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6803, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.0136, build_memory: 862694488.8, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.3533, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6803, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, build_cpu_time: 0.0206, build_memory: 257050191.2, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.6145, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6778, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0087, build_memory: 1682176596, f_measure: 0.8499, kappa: 0.6994, kb_relative_information_score: 126.6085, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6451, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, build_cpu_time: 0.004, build_memory: 454368700, f_measure: 0.8446, kappa: 0.6891, kb_relative_information_score: 119.3933, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8464, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.665, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, build_cpu_time: 0.0156, build_memory: 806299332.8, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2314, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9511, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, build_cpu_time: 0.0157, build_memory: 1585791852.8, f_measure: 0.6848, kappa: 0.3689, kb_relative_information_score: 60.2553, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6849, predictive_accuracy: 0.685, prior_entropy: 0.9994, recall: 0.685, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9509, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, build_cpu_time: 0.0207, build_memory: 318058603.2, f_measure: 0.855, kappa: 0.7097, kb_relative_information_score: 123.8923, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6279, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.0138, build_memory: 179215988, f_measure: 0.875, kappa: 0.7499, kb_relative_information_score: 125.4833, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6194, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.0269, build_memory: 1314117019.2, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 126.485, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9994, recall: 0.88, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6005, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.0556, build_memory: 2773967127.2, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 126.0754, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5888, scimark_benchmark: 941.3608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.0949, build_memory: 287344223.2, f_measure: 0.89, kappa: 0.7798, kb_relative_information_score: 123.6652, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.5942, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, build_cpu_time: 4.7624, build_memory: 730088695.2, f_measure: 0.8899, kappa: 0.7795, kb_relative_information_score: 118.8473, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.599, scimark_benchmark: 941.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, build_cpu_time: 2.5168, build_memory: 2353143525.6, f_measure: 0.8949, kappa: 0.7896, kb_relative_information_score: 119.1213, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8953, predictive_accuracy: 0.895, prior_entropy: 0.9994, recall: 0.895, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5991, scimark_benchmark: 914.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 1.2963, build_memory: 446352547.2, f_measure: 0.89, kappa: 0.7799, kb_relative_information_score: 118.0556, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6048, scimark_benchmark: 914.2677,

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