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Supervised Classification on vote

Supervised Classification on vote

Task 285 Supervised Classification vote 380 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9652, kappa: 0.9269, kb_relative_information_score: 125.0768, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3088, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 132.5094, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2417, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 916.0735, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 128.2132, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.353, scimark_benchmark: 927.2917, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9582, kappa: 0.912, kb_relative_information_score: 128.2132, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9587, predictive_accuracy: 0.958, prior_entropy: 0.9627, recall: 0.958, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.353, scimark_benchmark: 938.5498, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9652, kappa: 0.9269, kb_relative_information_score: 125.0768, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3088, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 132.5094, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2417, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 927.2882, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9446, kappa: 0.885, kb_relative_information_score: 123.5687, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9512, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4911, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9721, kappa: 0.9413, kb_relative_information_score: 128.3864, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9726, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2747, scimark_benchmark: 730.6551, usercpu_time_millis: 2710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 901.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 127.6365, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2439, scimark_benchmark: 763.3895, usercpu_time_millis: 4070, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.5116, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2369, scimark_benchmark: 859.5223, usercpu_time_millis: 1670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 126.0006, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.253, scimark_benchmark: 935.0213, usercpu_time_millis: 660, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 128.0995, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2489, scimark_benchmark: 911.2316, usercpu_time_millis: 490, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 128.4435, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2246, scimark_benchmark: 894.7131, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 133.4867, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2468, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 133.4867, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2468, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 133.4867, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2468, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 133.4867, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2468, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4689, kb_relative_information_score: -0.1312, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 0.9627, recall: 0.6154, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.4865, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9652, kappa: 0.9269, kb_relative_information_score: 125.0768, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3088, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1340.9749, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9446, kappa: 0.885, kb_relative_information_score: 123.5687, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9512, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4911, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9446, kappa: 0.885, kb_relative_information_score: 123.5687, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9512, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4911, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9721, kappa: 0.9413, kb_relative_information_score: 128.3864, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9726, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2747, scimark_benchmark: 1332.1612, usercpu_time_millis: 3130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 130.2812, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3405, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.3252, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2958, scimark_benchmark: 1324.6442, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1337.1928, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 1326.2019, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9446, kappa: 0.885, kb_relative_information_score: 123.5687, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9512, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4911, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 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

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From your own software

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

OpenML APIs