OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 928.8135, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7094, kappa: 0.4159, kb_relative_information_score: 52.6384, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7121, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8551, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8206, kappa: 0.6396, kb_relative_information_score: 92.5496, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8258, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7082, scimark_benchmark: 943.4741, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 879.4299, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 1292.514, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.7826, kappa: 0.5628, kb_relative_information_score: 119.4467, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7845, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8475, scimark_benchmark: 940.0055, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7329, kappa: 0.4635, kb_relative_information_score: 96.3548, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.738, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9548, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 898.5878, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 93.2193, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7769, scimark_benchmark: 934.1885, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 1350.2591, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 1345.7919, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1280.9535, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1353.5464, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1297.0858, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 86.1999, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8857, scimark_benchmark: 1364.991, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7502, kappa: 0.499, kb_relative_information_score: 100.9825, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9391, scimark_benchmark: 1322.0065, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1360.8502, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, build_cpu_time: 0.0018, build_memory: 935230095.8846, f_measure: 0.7615, kappa: 0.5214, kb_relative_information_score: 67.0234, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7691, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8214, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, build_cpu_time: 0.0016, build_memory: 2441255545.3077, f_measure: 0.7615, kappa: 0.5214, kb_relative_information_score: 67.0234, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7691, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8214, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 14.5939, build_memory: 1365511562.1154, f_measure: 0.7814, kappa: 0.5611, kb_relative_information_score: 101.8749, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7876, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7452, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 0.9097, build_memory: 34459251.6923, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 106.4647, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9734, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 29.8254, build_memory: 3444769322.2308, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 103.891, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.733, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, build_cpu_time: 4.5107, build_memory: 45228882.7308, f_measure: 0.7717, kappa: 0.5415, kb_relative_information_score: 103.2757, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7777, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.755, scimark_benchmark: 942.6348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7016, kappa: 0.4026, kb_relative_information_score: 50.7535, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7115, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9222, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7288, kappa: 0.4548, kb_relative_information_score: 102.2741, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8622, scimark_benchmark: 854.5188, usercpu_time_millis: 510, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 9.5478, build_memory: 1742709433.7308, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 81.1456, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7313, scimark_benchmark: 932.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 10.1691, build_memory: 888147426.0385, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 81.1456, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7313, scimark_benchmark: 848.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.0608, build_memory: 623749458.1154, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 83.3598, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8455, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7379, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, build_cpu_time: 0.0004, build_memory: 186537997.0769, f_measure: 0.7498, kappa: 0.4971, kb_relative_information_score: 103.3171, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0023, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.6502, build_memory: 1065770790.6154, f_measure: 0.8028, kappa: 0.6037, kb_relative_information_score: 110.6082, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8028, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7782, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.5436, build_memory: 663197504.9231, f_measure: 0.8028, kappa: 0.6037, kb_relative_information_score: 110.6082, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8028, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7782, scimark_benchmark: 931.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.6354, build_memory: 1953217752.5, f_measure: 0.7856, kappa: 0.57, kb_relative_information_score: 79.3761, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.795, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7601, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, build_cpu_time: 0.323, build_memory: 682358691.8462, f_measure: 0.7834, kappa: 0.5645, kb_relative_information_score: 111.2579, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.776, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, build_cpu_time: 1.0854, build_memory: 872528659.2308, f_measure: 0.7932, kappa: 0.5844, kb_relative_information_score: 110.2894, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7932, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7749, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 9.4753, build_memory: 1166510850.4615, f_measure: 0.7879, kappa: 0.5733, kb_relative_information_score: 121.547, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7886, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8822, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 239.1148, build_memory: 30441597.6154, f_measure: 0.8794, kappa: 0.7574, kb_relative_information_score: 159.448, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.881, predictive_accuracy: 0.8798, prior_entropy: 0.9968, recall: 0.8798, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6719, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 4.4885, build_memory: 416077114.4615, f_measure: 0.7926, kappa: 0.5828, kb_relative_information_score: 122.5281, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7937, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8588, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.003, build_memory: 81955302.6923, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.003, build_memory: 141459261.8846, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.003, build_memory: 162701117.9615, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, build_cpu_time: 0.1044, build_memory: 103778538.2692, f_measure: 0.8447, kappa: 0.6881, kb_relative_information_score: 84.9402, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8512, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7243, scimark_benchmark: 940.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, build_cpu_time: 0.9994, build_memory: 1143966313.3462, f_measure: 0.7926, kappa: 0.5828, kb_relative_information_score: 128.3763, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7937, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8214, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, build_cpu_time: 0.0553, build_memory: 508344882.0385, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, build_cpu_time: 70.4196, build_memory: 1230518189.3846, f_measure: 0.7919, kappa: 0.5817, kb_relative_information_score: 123.1565, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7951, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8954, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 19.9479, build_memory: 96006211.1923, f_measure: 0.8019, kappa: 0.6016, kb_relative_information_score: 124.5675, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.804, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8913, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.825, kappa: 0.6486, kb_relative_information_score: 135.0764, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8332, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.778, scimark_benchmark: 917.7039, usercpu_time_millis: 570, usercpu_time_millis_training: 570,

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