OpenML
Supervised Classification on analcatdata_challenger

Supervised Classification on analcatdata_challenger

Task 4581 Supervised Classification analcatdata_challenger 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, kb_relative_information_score: -0.9242, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, weighted_recall: 0.9348, number_of_instances: 1380, predictive_accuracy: 0.9348, prior_entropy: 0.3482, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 932.7721, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, kb_relative_information_score: -0.3689, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1273, weighted_recall: 0.9348, number_of_instances: 1380, predictive_accuracy: 0.9348, prior_entropy: 0.3482, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9816, scimark_benchmark: 979.7764, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1116.4004, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0633, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.9033, kb_relative_information_score: -336.7095, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2483, root_relative_squared_error: 1.0053, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.9033, kb_relative_information_score: -457.6616, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9813, scimark_benchmark: 936.8075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.9033, kb_relative_information_score: -1196.4732, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.9033, kb_relative_information_score: -1196.4732, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1116.4004, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0633, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.9033, kb_relative_information_score: -336.7095, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2483, root_relative_squared_error: 1.0053, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.9033, kb_relative_information_score: -457.6616, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9813, scimark_benchmark: 763.3895, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.9033, kb_relative_information_score: -1196.4732, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 934.7923, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 938.4601, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 933.4823, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 891.6381, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 896.2181, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.9033, kb_relative_information_score: -806.4113, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0369, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.9033, kb_relative_information_score: -806.4113, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0369, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.9033, kb_relative_information_score: -806.4113, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0369, scimark_benchmark: 936.7184,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.9033, kb_relative_information_score: -457.6616, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9813, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 1316.5396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.9033, kb_relative_information_score: -1196.4732, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.9033, kb_relative_information_score: -476.7975, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9815, scimark_benchmark: 1330.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 1320.1171,

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