OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 277 Supervised Classification tae 311 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, build_cpu_time: 0.882, build_memory: 1367892600, f_measure: 0.6387, kappa: 0.4522, kb_relative_information_score: 24.0622, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6578, predictive_accuracy: 0.6327, prior_entropy: 1.5845, recall: 0.6327, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0074, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, build_cpu_time: 1.111, build_memory: 1086110736, f_measure: 0.6387, kappa: 0.4522, kb_relative_information_score: 24.1669, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6578, predictive_accuracy: 0.6327, prior_entropy: 1.5845, recall: 0.6327, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.006, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, build_cpu_time: 0.869, build_memory: 1786395040, f_measure: 0.6387, kappa: 0.4522, kb_relative_information_score: 24.1669, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6578, predictive_accuracy: 0.6327, prior_entropy: 1.5845, recall: 0.6327, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.006, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, build_cpu_time: 0.004, build_memory: 20517376, f_measure: 0.3808, kappa: 0.0789, kb_relative_information_score: 8.0005, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3792, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, build_cpu_time: 0.002, build_memory: 533688960, f_measure: 0.3808, kappa: 0.0789, kb_relative_information_score: 8.0005, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3792, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, build_cpu_time: 0.001, build_memory: 927623712, f_measure: 0.3808, kappa: 0.0789, kb_relative_information_score: 8.0005, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3792, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, build_memory: 1014982328, f_measure: 0.3808, kappa: 0.0789, kb_relative_information_score: 8.0005, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3792, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, build_cpu_time: 0.001, build_memory: 785808872, f_measure: 0.3808, kappa: 0.0789, kb_relative_information_score: 8.0005, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3792, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, build_cpu_time: 0.001, build_memory: 1701106936, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, build_cpu_time: 0.001, build_memory: 1462175696, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, build_cpu_time: 0.002, build_memory: 1194115288, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, build_cpu_time: 0.002, build_memory: 1445530480, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, build_cpu_time: 0.004, build_memory: 643403144, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, build_cpu_time: 0.249, build_memory: 1368487456, f_measure: 0.5965, kappa: 0.3848, kb_relative_information_score: 15.9965, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6073, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9131, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.331, build_memory: 13649528, f_measure: 0.5944, kappa: 0.3844, kb_relative_information_score: 17.039, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6086, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9049, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.439, build_memory: 335934776, f_measure: 0.5944, kappa: 0.3844, kb_relative_information_score: 17.039, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6086, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9049, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.342, build_memory: 748802240, f_measure: 0.5944, kappa: 0.3844, kb_relative_information_score: 17.039, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6086, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9049, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.603, build_memory: 9081584, f_measure: 0.5944, kappa: 0.3844, kb_relative_information_score: 17.039, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6086, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9049, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.972, build_memory: 391188720, f_measure: 0.577, kappa: 0.3617, kb_relative_information_score: 19.8182, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6021, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0504, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 1.433, build_memory: 97803704, f_measure: 0.577, kappa: 0.3617, kb_relative_information_score: 19.8182, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6021, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0504, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.991, build_memory: 1962224808, f_measure: 0.577, kappa: 0.3617, kb_relative_information_score: 19.8182, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6021, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0504, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, build_cpu_time: 1.045, build_memory: 2657473512, f_measure: 0.5949, kappa: 0.3936, kb_relative_information_score: 19.6924, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6233, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0477, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.325, build_memory: 1129550944, f_measure: 0.6134, kappa: 0.4207, kb_relative_information_score: 20.7776, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6235, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0008, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, build_cpu_time: 0.073, build_memory: 291157688, f_measure: 0.5332, kappa: 0.2969, kb_relative_information_score: 14.5568, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5398, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9655, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, build_cpu_time: 0.079, build_memory: 1489540448, f_measure: 0.5746, kappa: 0.3565, kb_relative_information_score: 18.5532, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5797, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.95, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, build_cpu_time: 0.078, build_memory: 96189128, f_measure: 0.5746, kappa: 0.3565, kb_relative_information_score: 18.5532, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5797, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.95, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, build_cpu_time: 0.134, build_memory: 476832096, f_measure: 0.5746, kappa: 0.3565, kb_relative_information_score: 18.5532, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5797, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.95, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.009, build_memory: 668889536, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.007, build_memory: 293735104, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.006, build_memory: 194530400, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.005, build_memory: 671557656, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.005, build_memory: 290847528, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.013, build_memory: 107627280, f_measure: 0.612, kappa: 0.4181, kb_relative_information_score: 20.3645, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6148, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.983, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.01, build_memory: 44134088, f_measure: 0.612, kappa: 0.4181, kb_relative_information_score: 20.3645, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6148, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.983, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.015, build_memory: 57651160, f_measure: 0.612, kappa: 0.4181, kb_relative_information_score: 20.3645, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6148, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.983, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.015, build_memory: 18379368, f_measure: 0.612, kappa: 0.4181, kb_relative_information_score: 20.3645, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6148, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.983, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.014, build_memory: 434657408, f_measure: 0.612, kappa: 0.4181, kb_relative_information_score: 20.3645, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6148, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.983, scimark_benchmark: 939.7233,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, build_cpu_time: 0.99, build_memory: 414980968, f_measure: 0.6176, kappa: 0.4189, kb_relative_information_score: 14.8376, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6281, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.922, scimark_benchmark: 921.6453,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, build_cpu_time: 0.295, build_memory: 1097933448, f_measure: 0.6146, kappa: 0.4178, kb_relative_information_score: 15.603, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6191, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9052, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, build_cpu_time: 0.001, build_memory: 310309224, f_measure: 0.382, kappa: 0.0835, kb_relative_information_score: 7.3704, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.391, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0504, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, build_cpu_time: 0.001, build_memory: 861655624, f_measure: 0.382, kappa: 0.0835, kb_relative_information_score: 7.3704, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.391, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0504, scimark_benchmark: 902.1764,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, build_cpu_time: 0.005, build_memory: 502843896, f_measure: 0.3737, kappa: 0.0536, kb_relative_information_score: 5.3583, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.385, predictive_accuracy: 0.3673, prior_entropy: 1.5845, recall: 0.3673, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0634, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, build_cpu_time: 0.003, build_memory: 473993488, f_measure: 0.3737, kappa: 0.0536, kb_relative_information_score: 5.3583, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.385, predictive_accuracy: 0.3673, prior_entropy: 1.5845, recall: 0.3673, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0634, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, build_cpu_time: 0.004, build_memory: 419212976, f_measure: 0.3917, kappa: 0.0841, kb_relative_information_score: 6.0902, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4026, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0677, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, build_cpu_time: 0.476, build_memory: 61870632, f_measure: 0.6147, kappa: 0.4163, kb_relative_information_score: 16.7088, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.618, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9039, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, build_cpu_time: 0.017, build_memory: 242359400, f_measure: 0.6147, kappa: 0.4163, kb_relative_information_score: 16.7088, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.618, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9039, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, build_cpu_time: 0.021, build_memory: 847734928, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.435, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0395, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 9.956, build_memory: 682367816, f_measure: 0.5271, kappa: 0.2925, kb_relative_information_score: 12.8663, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5576, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9501, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, build_cpu_time: 19.093, build_memory: 1472035992, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 12.5475, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.951, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, build_cpu_time: 0.023, build_memory: 348214888, f_measure: 0.4502, kappa: 0.1705, kb_relative_information_score: 7.1746, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5111, predictive_accuracy: 0.449, prior_entropy: 1.5845, recall: 0.449, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9646, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, build_cpu_time: 0.025, build_memory: 1199870024, f_measure: 0.4502, kappa: 0.1705, kb_relative_information_score: 7.1051, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5111, predictive_accuracy: 0.449, prior_entropy: 1.5845, recall: 0.449, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9676, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, build_cpu_time: 0.024, build_memory: 52234976, f_measure: 0.4908, kappa: 0.2358, kb_relative_information_score: 7.0876, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5508, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9675, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, build_cpu_time: 0.004, build_memory: 863935280, f_measure: 0.522, kappa: 0.2934, kb_relative_information_score: 6.7206, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9605, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, build_cpu_time: 0.005, build_memory: 1554381336, f_measure: 0.5066, kappa: 0.2645, kb_relative_information_score: 6.9165, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5631, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9683, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, build_cpu_time: 0.789, build_memory: 199047168, f_measure: 0.5587, kappa: 0.3283, kb_relative_information_score: 15.0979, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.575, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8934, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, build_cpu_time: 1.101, build_memory: 96503840, f_measure: 0.6919, kappa: 0.5357, kb_relative_information_score: 15.4476, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6956, predictive_accuracy: 0.6939, prior_entropy: 1.5845, recall: 0.6939, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8841, scimark_benchmark: 825.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, build_cpu_time: 1.695, build_memory: 1354586912, f_measure: 0.6147, kappa: 0.4145, kb_relative_information_score: 13.8898, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6204, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9156, scimark_benchmark: 946.197,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs