OpenML
Supervised Classification on fri_c0_100_25

Supervised Classification on fri_c0_100_25

Task 3752 Supervised Classification fri_c0_100_25 579 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: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 20.3597, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9567, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 20.3651, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9573, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 22.4895, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8635, scimark_benchmark: 1311.9814, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 20.3651, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9573, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6595, kappa: 0.32, kb_relative_information_score: 32.0901, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.661, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.1262, scimark_benchmark: 1064.8317, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 1345.3152, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 37.5288, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.94, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 43.7681, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0086, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6186, kappa: 0.24, kb_relative_information_score: 24, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6218, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2329, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 37.5288, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.94, scimark_benchmark: 906.4475, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7199, kappa: 0.44, kb_relative_information_score: 46.036, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7204, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 944.0517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 31.4954, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.1536, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7144, kappa: 0.44, kb_relative_information_score: 44, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7387, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 1327.9121, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 30.7315, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 19.2413, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8722, scimark_benchmark: 1311.9814, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7898, kappa: 0.58, kb_relative_information_score: 19.4637, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.791, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8757, scimark_benchmark: 1328.8457, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7498, kappa: 0.5, kb_relative_information_score: 51.4788, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9223, scimark_benchmark: 898.1296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7694, kappa: 0.54, kb_relative_information_score: 46.4712, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7727, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8746, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 44.8034, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8003, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.4657, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1311.1837, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.9414, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8164, scimark_benchmark: 1314.9535, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 30.4901, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8456, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.63, kappa: 0.26, kb_relative_information_score: 25.4169, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.1471, scimark_benchmark: 1337.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.63, kappa: 0.26, kb_relative_information_score: 25.4169, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.1471, scimark_benchmark: 1312.5307, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.65, kappa: 0.3, kb_relative_information_score: 19.7656, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9867, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 36.0423, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8329, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.69, kappa: 0.38, kb_relative_information_score: 38, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6901, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1136, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.8455, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8325, scimark_benchmark: 1315.4655, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7399, kappa: 0.48, kb_relative_information_score: 47.7182, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 32, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1662, scimark_benchmark: 1344.7246, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 20.3679, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9579, scimark_benchmark: 934.0566, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 20.3651, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9573, scimark_benchmark: 929.4938, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 30.028, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 940.3156, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 22.4895, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8635, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 20, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7172, kappa: 0.44, kb_relative_information_score: 33.2374, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.6399, kappa: 0.28, kb_relative_information_score: 21.3486, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6402, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0465, scimark_benchmark: 1309.3173, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6885, kappa: 0.38, kb_relative_information_score: 38, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1136, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6291, kappa: 0.26, kb_relative_information_score: 24.8267, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6313, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5863, root_relative_squared_error: 1.1726, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.4695, kappa: -0.06, kb_relative_information_score: -6, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.4699, predictive_accuracy: 0.47, prior_entropy: 1, recall: 0.47, relative_absolute_error: 1.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.728, root_relative_squared_error: 1.456, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7374, kappa: 0.48, kb_relative_information_score: 48, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7494, kappa: 0.5, kb_relative_information_score: 50.0236, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7525, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9609, scimark_benchmark: 927.0753, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 55.5243, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9097, scimark_benchmark: 941.7954, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 54.818, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9265, scimark_benchmark: 923.7642, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 53.7901, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9261, scimark_benchmark: 894.7455, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs