Task
Supervised Classification on fri_c3_100_5

Supervised Classification on fri_c3_100_5

Task 4484 Supervised Classification fri_c3_100_5 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6909, kappa: 0.3705, kb_relative_information_score: 299.9609, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6936, predictive_accuracy: 0.695, prior_entropy: 0.99, recall: 0.695, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9792, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7514, kappa: 0.4945, kb_relative_information_score: 380.8539, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.752, prior_entropy: 0.99, recall: 0.752, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8524, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7788, kappa: 0.5498, kb_relative_information_score: 503.2306, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7795, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8471, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8089, kappa: 0.6119, kb_relative_information_score: 609.854, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.99, recall: 0.809, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8804, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7644, kappa: 0.5212, kb_relative_information_score: 374.0759, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7643, predictive_accuracy: 0.765, prior_entropy: 0.99, recall: 0.765, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7874, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8068, kappa: 0.6077, kb_relative_information_score: 605.7729, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8067, predictive_accuracy: 0.807, prior_entropy: 0.99, recall: 0.807, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6955, kappa: 0.3805, kb_relative_information_score: 215.0109, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6955, predictive_accuracy: 0.697, prior_entropy: 0.99, recall: 0.697, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7628, kappa: 0.5183, kb_relative_information_score: 437.1692, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.99, recall: 0.763, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8663, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8089, kappa: 0.6119, kb_relative_information_score: 609.854, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.99, recall: 0.809, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8804, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8089, kappa: 0.6119, kb_relative_information_score: 609.854, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.99, recall: 0.809, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8804, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8477, kappa: 0.6905, kb_relative_information_score: 516.38, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.99, recall: 0.848, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6877, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6909, kappa: 0.3705, kb_relative_information_score: 299.9609, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6936, predictive_accuracy: 0.695, prior_entropy: 0.99, recall: 0.695, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9792, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7514, kappa: 0.4945, kb_relative_information_score: 380.8539, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.752, prior_entropy: 0.99, recall: 0.752, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8524, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7788, kappa: 0.5498, kb_relative_information_score: 503.2306, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7795, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8471, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8089, kappa: 0.6119, kb_relative_information_score: 609.854, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.99, recall: 0.809, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8804, scimark_benchmark: 904.5548, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.6983, kappa: 0.3856, kb_relative_information_score: 314.2393, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.701, prior_entropy: 0.99, recall: 0.701, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9272, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7644, kappa: 0.5212, kb_relative_information_score: 374.0759, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7643, predictive_accuracy: 0.765, prior_entropy: 0.99, recall: 0.765, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7874, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6955, kappa: 0.3805, kb_relative_information_score: 215.0109, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6955, predictive_accuracy: 0.697, prior_entropy: 0.99, recall: 0.697, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, scimark_benchmark: 938.4601, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7628, kappa: 0.5183, kb_relative_information_score: 437.1692, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.99, recall: 0.763, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8663, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8477, kappa: 0.6905, kb_relative_information_score: 516.38, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.99, recall: 0.848, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6877, scimark_benchmark: 917.5013, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8466, kappa: 0.6876, kb_relative_information_score: 487.1124, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.85, predictive_accuracy: 0.848, prior_entropy: 0.99, recall: 0.848, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6749, scimark_benchmark: 943.6618, usercpu_time_millis: 270, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8403, kappa: 0.6748, kb_relative_information_score: 482.5131, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8445, predictive_accuracy: 0.842, prior_entropy: 0.99, recall: 0.842, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.338, root_relative_squared_error: 0.681, scimark_benchmark: 934.7923, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8451, kappa: 0.6846, kb_relative_information_score: 488.0856, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8466, predictive_accuracy: 0.846, prior_entropy: 0.99, recall: 0.846, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6786, scimark_benchmark: 921.466, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8236, kappa: 0.6408, kb_relative_information_score: 471.8092, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8259, predictive_accuracy: 0.825, prior_entropy: 0.99, recall: 0.825, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6982, scimark_benchmark: 891.6381, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8187, kappa: 0.6308, kb_relative_information_score: 451.4411, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.99, recall: 0.82, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7322, scimark_benchmark: 942.5233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8177, kappa: 0.6294, kb_relative_information_score: 610.9273, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8176, predictive_accuracy: 0.818, prior_entropy: 0.99, recall: 0.818, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7864, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8177, kappa: 0.6294, kb_relative_information_score: 610.9165, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8176, predictive_accuracy: 0.818, prior_entropy: 0.99, recall: 0.818, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7865, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8196, kappa: 0.6333, kb_relative_information_score: 613.6803, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.99, recall: 0.82, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7779, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8127, kappa: 0.6193, kb_relative_information_score: 599.5637, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8126, predictive_accuracy: 0.813, prior_entropy: 0.99, recall: 0.813, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7608, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8185, kappa: 0.631, kb_relative_information_score: 580.2564, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8186, predictive_accuracy: 0.819, prior_entropy: 0.99, recall: 0.819, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7217, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -1.7651, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8181, kappa: 0.6312, kb_relative_information_score: 631.13, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.99, recall: 0.818, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.799, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8121, kappa: 0.6189, kb_relative_information_score: 612.8279, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.99, recall: 0.812, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8088, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8001, kappa: 0.5947, kb_relative_information_score: 564.4021, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8338, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7411, kappa: 0.4748, kb_relative_information_score: 457.6761, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.741, prior_entropy: 0.99, recall: 0.741, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9139, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6955, kappa: 0.3805, kb_relative_information_score: 215.0109, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6955, predictive_accuracy: 0.697, prior_entropy: 0.99, recall: 0.697, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8089, kappa: 0.6119, kb_relative_information_score: 609.854, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.99, recall: 0.809, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8804, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7628, kappa: 0.5183, kb_relative_information_score: 437.1692, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.99, recall: 0.763, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8663, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8477, kappa: 0.6905, kb_relative_information_score: 516.38, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.99, recall: 0.848, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6877, scimark_benchmark: 1332.6745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6909, kappa: 0.3705, kb_relative_information_score: 299.9609, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6936, predictive_accuracy: 0.695, prior_entropy: 0.99, recall: 0.695, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9792, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.6967, kappa: 0.383, kb_relative_information_score: 225.1557, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6965, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9129, scimark_benchmark: 1417.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7514, kappa: 0.4945, kb_relative_information_score: 380.8539, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.752, prior_entropy: 0.99, recall: 0.752, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8524, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7778, kappa: 0.5477, kb_relative_information_score: 502.069, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7785, predictive_accuracy: 0.779, prior_entropy: 0.99, recall: 0.779, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8489, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7046, kappa: 0.3998, kb_relative_information_score: 340.4697, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7043, predictive_accuracy: 0.705, prior_entropy: 0.99, recall: 0.705, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9552, scimark_benchmark: 1299.3719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7644, kappa: 0.5212, kb_relative_information_score: 374.0759, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7643, predictive_accuracy: 0.765, prior_entropy: 0.99, recall: 0.765, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7874, scimark_benchmark: 1349.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.696, kappa: 0.3811, kb_relative_information_score: 316.0594, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.698, prior_entropy: 0.99, recall: 0.698, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9302, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6909, kappa: 0.3705, kb_relative_information_score: 299.9609, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6936, predictive_accuracy: 0.695, prior_entropy: 0.99, recall: 0.695, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9792, scimark_benchmark: 1348.2804,

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