Task
Supervised Classification on fri_c0_250_25

Supervised Classification on fri_c0_250_25

Task 3639 Supervised Classification fri_c0_250_25 536 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 127.2751, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7401, scimark_benchmark: 1341.5795, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 153.9911, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1329.8008, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7758, kappa: 0.5522, kb_relative_information_score: 107.7401, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7772, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7707, scimark_benchmark: 1318.3027, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7758, kappa: 0.5522, kb_relative_information_score: 107.7401, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7772, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7707, scimark_benchmark: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7119, kappa: 0.4242, kb_relative_information_score: 83.0266, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 1, recall: 0.712, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8452, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.772, kappa: 0.5439, kb_relative_information_score: 112.3191, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.772, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8022, scimark_benchmark: 1350.4825, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, scimark_benchmark: 1336.0954, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7234, kappa: 0.4484, kb_relative_information_score: 89.9906, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7267, predictive_accuracy: 0.724, prior_entropy: 1, recall: 0.724, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8931, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7758, kappa: 0.5522, kb_relative_information_score: 107.7401, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7772, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7707, scimark_benchmark: 1339.2472, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, scimark_benchmark: 1296.8947, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7234, kappa: 0.4484, kb_relative_information_score: 89.9906, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7267, predictive_accuracy: 0.724, prior_entropy: 1, recall: 0.724, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8931, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, scimark_benchmark: 1322.5413, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, scimark_benchmark: 1342.8632, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7638, kappa: 0.5278, kb_relative_information_score: 95.7668, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7647, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.782, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7234, kappa: 0.4484, kb_relative_information_score: 89.9906, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7267, predictive_accuracy: 0.724, prior_entropy: 1, recall: 0.724, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8931, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524, scimark_benchmark: 879.4299, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7156, kappa: 0.4324, kb_relative_information_score: 83.8017, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7179, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.845, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7119, kappa: 0.4242, kb_relative_information_score: 83.0266, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 1, recall: 0.712, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8452, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.72, kappa: 0.4399, kb_relative_information_score: 89.117, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9081, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5649, kappa: 0.1372, kb_relative_information_score: 38.3177, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5708, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3378, kb_relative_information_score: -0.0609, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8168, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.744, kappa: 0.488, kb_relative_information_score: 103.0064, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 1, recall: 0.744, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6805, kappa: 0.3669, kb_relative_information_score: 91.9855, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6912, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3378, kb_relative_information_score: -0.0609, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8039, kappa: 0.6082, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1779.392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.804, kappa: 0.6081, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8046, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.824, kappa: 0.6479, kb_relative_information_score: 121.9631, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7838, kappa: 0.5678, kb_relative_information_score: 120.791, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7846, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.684, kappa: 0.3679, kb_relative_information_score: 91.9855, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.684, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7759, kappa: 0.5521, kb_relative_information_score: 137.9896, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7767, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7839, kappa: 0.5681, kb_relative_information_score: 141.99, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7847, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, usercpu_time_millis: 12.93, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 11.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7957, kappa: 0.5923, kb_relative_information_score: 147.9905, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7985, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034, usercpu_time_millis: 19.283, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 19.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 129.9889, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8319, kappa: 0.6641, kb_relative_information_score: 165.9922, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8328, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6827, kappa: 0.3674, kb_relative_information_score: 91.9855, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6864, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243, usercpu_time_millis: 0.394, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8359, kappa: 0.6721, kb_relative_information_score: 167.9924, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, usercpu_time_millis: 18.161, usercpu_time_millis_testing: 3.225, usercpu_time_millis_training: 14.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8168, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, usercpu_time_millis: 56.455, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 52.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.556, kappa: 0.112, kb_relative_information_score: 27.9796, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.556, predictive_accuracy: 0.556, prior_entropy: 1, recall: 0.556, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3327, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 155.9913, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, usercpu_time_millis: 0.851, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.816, kappa: 0.6319, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, usercpu_time_millis: 4.197, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 4.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 165.9922, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, usercpu_time_millis: 2.909, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6785, kappa: 0.3593, kb_relative_information_score: 89.9853, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6827, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1314, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7509, kappa: 0.5035, kb_relative_information_score: 125.9885, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7559, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.19,

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