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Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 4378 Supervised Classification fri_c0_100_10 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5147, kappa: 0.0217, kb_relative_information_score: 16.0831, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5158, predictive_accuracy: 0.514, prior_entropy: 0.9931, recall: 0.514, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1112, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7634, kappa: 0.5211, kb_relative_information_score: 417.2109, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.764, prior_entropy: 0.9931, recall: 0.764, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8042, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7399, kappa: 0.4745, kb_relative_information_score: 411.7869, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9003, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8222, kappa: 0.6411, kb_relative_information_score: 638.7327, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8481, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8222, kappa: 0.6411, kb_relative_information_score: 638.7327, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8481, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7915, kappa: 0.5778, kb_relative_information_score: 351.0866, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7937, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7846, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8014, kappa: 0.5981, kb_relative_information_score: 511.9941, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 0.9931, recall: 0.802, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7315, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7141, kappa: 0.4213, kb_relative_information_score: 351.7736, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.715, prior_entropy: 0.9931, recall: 0.715, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9317, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8222, kappa: 0.6411, kb_relative_information_score: 638.7327, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8481, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8222, kappa: 0.6411, kb_relative_information_score: 638.7327, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8481, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8177, kappa: 0.631, kb_relative_information_score: 379.9077, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7496, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5147, kappa: 0.0217, kb_relative_information_score: 16.0831, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5158, predictive_accuracy: 0.514, prior_entropy: 0.9931, recall: 0.514, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1112, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7634, kappa: 0.5211, kb_relative_information_score: 417.2109, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.764, prior_entropy: 0.9931, recall: 0.764, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8042, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7399, kappa: 0.4745, kb_relative_information_score: 411.7869, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9003, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8222, kappa: 0.6411, kb_relative_information_score: 638.7327, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8481, scimark_benchmark: 934.7923, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7915, kappa: 0.5778, kb_relative_information_score: 351.0866, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7937, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7846, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7141, kappa: 0.4213, kb_relative_information_score: 351.7736, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.715, prior_entropy: 0.9931, recall: 0.715, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9317, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8177, kappa: 0.631, kb_relative_information_score: 379.9077, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7496, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.821, kappa: 0.6376, kb_relative_information_score: 422.6987, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8225, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.724, scimark_benchmark: 943.6618, usercpu_time_millis: 590, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8173, kappa: 0.6301, kb_relative_information_score: 421.4098, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8181, predictive_accuracy: 0.818, prior_entropy: 0.9931, recall: 0.818, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7267, scimark_benchmark: 943.6618, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8118, kappa: 0.6189, kb_relative_information_score: 412.2155, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.813, prior_entropy: 0.9931, recall: 0.813, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7374, scimark_benchmark: 862.7006, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8084, kappa: 0.6122, kb_relative_information_score: 416.2125, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.9931, recall: 0.809, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7431, scimark_benchmark: 945.0448, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7948, kappa: 0.5844, kb_relative_information_score: 410.1665, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7964, predictive_accuracy: 0.796, prior_entropy: 0.9931, recall: 0.796, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7669, scimark_benchmark: 939.7241, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8113, kappa: 0.6179, kb_relative_information_score: 586.7511, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9931, recall: 0.812, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8144, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8113, kappa: 0.6179, kb_relative_information_score: 586.7511, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 0.9931, recall: 0.812, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8144, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8082, kappa: 0.6117, kb_relative_information_score: 580.8337, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9931, recall: 0.809, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.407, root_relative_squared_error: 0.818, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8125, kappa: 0.6206, kb_relative_information_score: 571.332, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8128, predictive_accuracy: 0.813, prior_entropy: 0.9931, recall: 0.813, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8018, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7971, kappa: 0.5905, kb_relative_information_score: 521.0855, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7973, predictive_accuracy: 0.797, prior_entropy: 0.9931, recall: 0.797, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7955, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -1.7743, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8186, kappa: 0.6329, kb_relative_information_score: 632.093, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8188, predictive_accuracy: 0.819, prior_entropy: 0.9931, recall: 0.819, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8184, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7972, kappa: 0.5908, kb_relative_information_score: 582.9896, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7976, predictive_accuracy: 0.797, prior_entropy: 0.9931, recall: 0.797, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8258, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5225, kappa: 0.0346, kb_relative_information_score: 24.5225, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5221, predictive_accuracy: 0.523, prior_entropy: 0.9931, recall: 0.523, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.0782, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8014, kappa: 0.5981, kb_relative_information_score: 511.9941, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 0.9931, recall: 0.802, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7315, scimark_benchmark: 1334.8032, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8177, kappa: 0.631, kb_relative_information_score: 379.9077, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7496, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5225, kappa: 0.0346, kb_relative_information_score: 24.5225, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5221, predictive_accuracy: 0.523, prior_entropy: 0.9931, recall: 0.523, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.0782, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7141, kappa: 0.4213, kb_relative_information_score: 351.7736, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.715, prior_entropy: 0.9931, recall: 0.715, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9317, scimark_benchmark: 1351.3088, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8177, kappa: 0.631, kb_relative_information_score: 379.9077, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7496, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5147, kappa: 0.0217, kb_relative_information_score: 16.0831, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5158, predictive_accuracy: 0.514, prior_entropy: 0.9931, recall: 0.514, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1112, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7399, kappa: 0.4745, kb_relative_information_score: 412.3751, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9001, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8078, kappa: 0.6115, kb_relative_information_score: 459.7578, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9931, recall: 0.808, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7311, scimark_benchmark: 1350.1007, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5225, kappa: 0.0346, kb_relative_information_score: 24.5225, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.5221, predictive_accuracy: 0.523, prior_entropy: 0.9931, recall: 0.523, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.0782, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5215, kappa: 0.0324, kb_relative_information_score: 24.6678, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.521, predictive_accuracy: 0.522, prior_entropy: 0.9931, recall: 0.522, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0808, scimark_benchmark: 1330.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7915, kappa: 0.5778, kb_relative_information_score: 351.0866, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7937, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7846, scimark_benchmark: 1318.6096, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs