Task
Supervised Classification on fri_c3_500_25

Supervised Classification on fri_c3_500_25

Task 4464 Supervised Classification fri_c3_500_25 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2735.1552, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7405, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8505, kappa: 0.6963, kb_relative_information_score: 2423.8565, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9897, recall: 0.8506, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6956, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8519, kappa: 0.6994, kb_relative_information_score: 2933.1766, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9897, recall: 0.852, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6729, scimark_benchmark: 934.3687, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 904.0772, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8703, kappa: 0.7367, kb_relative_information_score: 2927.7113, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8703, predictive_accuracy: 0.8704, prior_entropy: 0.9897, recall: 0.8704, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6277, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.6525, kappa: 0.2928, kb_relative_information_score: 1008.7582, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6521, predictive_accuracy: 0.6542, prior_entropy: 0.9897, recall: 0.6542, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9577, scimark_benchmark: 934.2976, usercpu_time_millis: 4170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8386, kappa: 0.6724, kb_relative_information_score: 3031.9331, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9897, recall: 0.8386, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7308, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8643, kappa: 0.7243, kb_relative_information_score: 2323.185, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8642, predictive_accuracy: 0.8644, prior_entropy: 0.9897, recall: 0.8644, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6762, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 938.5498, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 974.2014, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8643, kappa: 0.7243, kb_relative_information_score: 2323.185, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8642, predictive_accuracy: 0.8644, prior_entropy: 0.9897, recall: 0.8644, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6762, scimark_benchmark: 943.1009, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2735.1552, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7405, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8505, kappa: 0.6963, kb_relative_information_score: 2423.8565, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9897, recall: 0.8506, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6956, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8519, kappa: 0.6994, kb_relative_information_score: 2933.1766, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9897, recall: 0.852, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6729, scimark_benchmark: 940.1541, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 943.6618, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 936.2574, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8703, kappa: 0.7367, kb_relative_information_score: 2927.7113, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8703, predictive_accuracy: 0.8704, prior_entropy: 0.9897, recall: 0.8704, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6277, scimark_benchmark: 903.2737, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.6525, kappa: 0.2928, kb_relative_information_score: 1008.7582, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6521, predictive_accuracy: 0.6542, prior_entropy: 0.9897, recall: 0.6542, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9577, scimark_benchmark: 938.4601, usercpu_time_millis: 3190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8386, kappa: 0.6724, kb_relative_information_score: 3031.9331, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9897, recall: 0.8386, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7308, scimark_benchmark: 936.9595, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8643, kappa: 0.7243, kb_relative_information_score: 2323.185, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8642, predictive_accuracy: 0.8644, prior_entropy: 0.9897, recall: 0.8644, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6762, scimark_benchmark: 936.9595, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8609, kappa: 0.7174, kb_relative_information_score: 1951.8231, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8608, predictive_accuracy: 0.861, prior_entropy: 0.9897, recall: 0.861, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7265, scimark_benchmark: 908.9569, usercpu_time_millis: 9720, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.853, kappa: 0.7013, kb_relative_information_score: 1931.0226, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.853, predictive_accuracy: 0.8532, prior_entropy: 0.9897, recall: 0.8532, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7318, scimark_benchmark: 906.5979, usercpu_time_millis: 3340, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8436, kappa: 0.6821, kb_relative_information_score: 1903.9189, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8435, predictive_accuracy: 0.8438, prior_entropy: 0.9897, recall: 0.8438, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7393, scimark_benchmark: 935.3212, usercpu_time_millis: 1460, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8307, kappa: 0.6559, kb_relative_information_score: 1871.359, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8307, predictive_accuracy: 0.831, prior_entropy: 0.9897, recall: 0.831, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7509, scimark_benchmark: 917.2109, usercpu_time_millis: 700, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.809, kappa: 0.6119, kb_relative_information_score: 1851.5064, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8089, predictive_accuracy: 0.8092, prior_entropy: 0.9897, recall: 0.8092, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7675, scimark_benchmark: 918.0831, usercpu_time_millis: 360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.866, kappa: 0.7277, kb_relative_information_score: 3449.2076, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.866, predictive_accuracy: 0.8662, prior_entropy: 0.9897, recall: 0.8662, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6364, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8678, kappa: 0.7314, kb_relative_information_score: 3452.39, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6328, scimark_benchmark: 930.0565, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8681, kappa: 0.7319, kb_relative_information_score: 3400.9453, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9897, recall: 0.8684, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6246, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8569, kappa: 0.7096, kb_relative_information_score: 3459.2833, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8569, predictive_accuracy: 0.857, prior_entropy: 0.9897, recall: 0.857, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6933, scimark_benchmark: 938.3115, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8505, kappa: 0.6963, kb_relative_information_score: 2423.8565, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9897, recall: 0.8506, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6956, scimark_benchmark: 906.0994, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8519, kappa: 0.6994, kb_relative_information_score: 2933.1766, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9897, recall: 0.852, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6729, scimark_benchmark: 930.0565, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6716, kappa: 0.3315, kb_relative_information_score: 1699.9528, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6749, predictive_accuracy: 0.6768, prior_entropy: 0.9897, recall: 0.6768, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.1453, scimark_benchmark: 949.7766, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8213, kappa: 0.6375, kb_relative_information_score: 2817.7874, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8214, predictive_accuracy: 0.8212, prior_entropy: 0.9897, recall: 0.8212, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7022, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8213, kappa: 0.6375, kb_relative_information_score: 2817.7874, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8214, predictive_accuracy: 0.8212, prior_entropy: 0.9897, recall: 0.8212, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7022, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8386, kappa: 0.6724, kb_relative_information_score: 3031.9331, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9897, recall: 0.8386, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7308, scimark_benchmark: 1331.7953, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8505, kappa: 0.6963, kb_relative_information_score: 2423.8565, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9897, recall: 0.8506, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6956, scimark_benchmark: 1339.6197, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8213, kappa: 0.6375, kb_relative_information_score: 2817.7874, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8214, predictive_accuracy: 0.8212, prior_entropy: 0.9897, recall: 0.8212, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7022, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8213, kappa: 0.6375, kb_relative_information_score: 2817.7874, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8214, predictive_accuracy: 0.8212, prior_entropy: 0.9897, recall: 0.8212, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7022, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8386, kappa: 0.6724, kb_relative_information_score: 3031.9331, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9897, recall: 0.8386, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7308, scimark_benchmark: 1317.2327, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2735.1552, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7405, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8703, kappa: 0.7367, kb_relative_information_score: 2927.7113, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8703, predictive_accuracy: 0.8704, prior_entropy: 0.9897, recall: 0.8704, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6277, scimark_benchmark: 1342.8584, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.6525, kappa: 0.2928, kb_relative_information_score: 1008.7582, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.6521, predictive_accuracy: 0.6542, prior_entropy: 0.9897, recall: 0.6542, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9577, scimark_benchmark: 1332.7986, usercpu_time_millis: 2530, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8213, kappa: 0.6375, kb_relative_information_score: 2817.7874, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8214, predictive_accuracy: 0.8212, prior_entropy: 0.9897, recall: 0.8212, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7022, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8266, kappa: 0.648, kb_relative_information_score: 2852.2953, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4928, number_of_instances: 5000, precision: 0.8266, predictive_accuracy: 0.8266, prior_entropy: 0.9897, recall: 0.8266, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6944, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs