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Supervised Classification on fri_c4_100_50

Supervised Classification on fri_c4_100_50

Task 4500 Supervised Classification fri_c4_100_50 223 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7656, kappa: 0.5231, kb_relative_information_score: 443.8327, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8256, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7306, kappa: 0.4516, kb_relative_information_score: 363.1958, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7308, predictive_accuracy: 0.732, prior_entropy: 0.99, recall: 0.732, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8946, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.723, kappa: 0.4378, kb_relative_information_score: 406.5306, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7229, predictive_accuracy: 0.723, prior_entropy: 0.99, recall: 0.723, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9793, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.4893, kappa: -0.0172, kb_relative_information_score: 26.2631, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4968, predictive_accuracy: 0.523, prior_entropy: 0.99, recall: 0.523, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.3914, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.4893, kappa: -0.0172, kb_relative_information_score: 26.2631, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4968, predictive_accuracy: 0.523, prior_entropy: 0.99, recall: 0.523, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.3914, scimark_benchmark: 904.0772, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7396, kappa: 0.4709, kb_relative_information_score: 242.3528, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.746, prior_entropy: 0.99, recall: 0.746, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8676, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5012, kappa: -0.0156, kb_relative_information_score: -4.481, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4995, predictive_accuracy: 0.505, prior_entropy: 0.99, recall: 0.505, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1353, scimark_benchmark: 932.2692, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7179, kappa: 0.4272, kb_relative_information_score: 378.5178, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7177, predictive_accuracy: 0.718, prior_entropy: 0.99, recall: 0.718, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9703, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.4893, kappa: -0.0172, kb_relative_information_score: 26.2631, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4968, predictive_accuracy: 0.523, prior_entropy: 0.99, recall: 0.523, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.3914, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.4893, kappa: -0.0172, kb_relative_information_score: 26.2631, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4968, predictive_accuracy: 0.523, prior_entropy: 0.99, recall: 0.523, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.3914, scimark_benchmark: 944.1783, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7827, kappa: 0.5576, kb_relative_information_score: 466.5974, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7889, predictive_accuracy: 0.786, prior_entropy: 0.99, recall: 0.786, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8211, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7007, kappa: 0.3905, kb_relative_information_score: 142.5425, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7041, predictive_accuracy: 0.705, prior_entropy: 0.99, recall: 0.705, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9168, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7656, kappa: 0.5231, kb_relative_information_score: 443.8327, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8256, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7306, kappa: 0.4516, kb_relative_information_score: 363.1958, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7308, predictive_accuracy: 0.732, prior_entropy: 0.99, recall: 0.732, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8946, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.723, kappa: 0.4378, kb_relative_information_score: 406.5306, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7229, predictive_accuracy: 0.723, prior_entropy: 0.99, recall: 0.723, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9793, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.4893, kappa: -0.0172, kb_relative_information_score: 26.2631, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4968, predictive_accuracy: 0.523, prior_entropy: 0.99, recall: 0.523, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.3914, scimark_benchmark: 904.5548, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7396, kappa: 0.4709, kb_relative_information_score: 242.3528, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.746, prior_entropy: 0.99, recall: 0.746, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8676, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5012, kappa: -0.0156, kb_relative_information_score: -4.481, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4995, predictive_accuracy: 0.505, prior_entropy: 0.99, recall: 0.505, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1353, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7179, kappa: 0.4272, kb_relative_information_score: 378.5178, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7177, predictive_accuracy: 0.718, prior_entropy: 0.99, recall: 0.718, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9703, scimark_benchmark: 936.9595, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7007, kappa: 0.3905, kb_relative_information_score: 142.5425, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7041, predictive_accuracy: 0.705, prior_entropy: 0.99, recall: 0.705, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9168, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6798, kappa: 0.3483, kb_relative_information_score: 109.2392, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6835, predictive_accuracy: 0.685, prior_entropy: 0.99, recall: 0.685, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9472, scimark_benchmark: 819.5729, usercpu_time_millis: 4460, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6632, kappa: 0.3143, kb_relative_information_score: 106.0762, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6656, predictive_accuracy: 0.668, prior_entropy: 0.99, recall: 0.668, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9512, scimark_benchmark: 934.7923, usercpu_time_millis: 1460, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6656, kappa: 0.3193, kb_relative_information_score: 110.5739, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6689, predictive_accuracy: 0.671, prior_entropy: 0.99, recall: 0.671, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9509, scimark_benchmark: 941.7587, usercpu_time_millis: 710, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.659, kappa: 0.3055, kb_relative_information_score: 121.3108, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.663, prior_entropy: 0.99, recall: 0.663, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9519, scimark_benchmark: 891.6381, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.606, kappa: 0.1983, kb_relative_information_score: 105.7687, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.6053, predictive_accuracy: 0.608, prior_entropy: 0.99, recall: 0.608, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9814, scimark_benchmark: 942.5233, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7023, kappa: 0.3937, kb_relative_information_score: 400.3732, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7049, predictive_accuracy: 0.706, prior_entropy: 0.99, recall: 0.706, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0576, scimark_benchmark: 941.9549, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7033, kappa: 0.396, kb_relative_information_score: 405.2496, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.99, recall: 0.708, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0436, scimark_benchmark: 941.9549, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7174, kappa: 0.4245, kb_relative_information_score: 427.9723, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7204, predictive_accuracy: 0.721, prior_entropy: 0.99, recall: 0.721, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9948, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7309, kappa: 0.452, kb_relative_information_score: 437.2665, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7336, predictive_accuracy: 0.734, prior_entropy: 0.99, recall: 0.734, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9385, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.727, kappa: 0.4445, kb_relative_information_score: 406.9453, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7335, predictive_accuracy: 0.732, prior_entropy: 0.99, recall: 0.732, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9101, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7396, kappa: 0.4709, kb_relative_information_score: 242.3528, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7512, predictive_accuracy: 0.746, prior_entropy: 0.99, recall: 0.746, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8676, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7306, kappa: 0.4516, kb_relative_information_score: 363.1958, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7308, predictive_accuracy: 0.732, prior_entropy: 0.99, recall: 0.732, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8946, scimark_benchmark: 1339.6197, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7656, kappa: 0.5231, kb_relative_information_score: 443.8327, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8256, scimark_benchmark: 1315.9287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5012, kappa: -0.0156, kb_relative_information_score: -4.481, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4995, predictive_accuracy: 0.505, prior_entropy: 0.99, recall: 0.505, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1353, scimark_benchmark: 1351.3088, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7007, kappa: 0.3905, kb_relative_information_score: 142.5425, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7041, predictive_accuracy: 0.705, prior_entropy: 0.99, recall: 0.705, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9168, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7656, kappa: 0.5231, kb_relative_information_score: 443.8327, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8256, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7306, kappa: 0.4516, kb_relative_information_score: 363.1958, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7308, predictive_accuracy: 0.732, prior_entropy: 0.99, recall: 0.732, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8946, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7827, kappa: 0.5576, kb_relative_information_score: 466.5974, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7889, predictive_accuracy: 0.786, prior_entropy: 0.99, recall: 0.786, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8211, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1319.4538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5012, kappa: -0.0156, kb_relative_information_score: -4.481, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.4995, predictive_accuracy: 0.505, prior_entropy: 0.99, recall: 0.505, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1353, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.782, kappa: 0.556, kb_relative_information_score: 472.9471, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4929, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.785, prior_entropy: 0.99, recall: 0.785, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8201, scimark_benchmark: 1309.2287,

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