Task
Supervised Classification on autos

Supervised Classification on autos

Task 1889 Supervised Classification autos 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1351.1238, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1330.3852, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1278.6629, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 1327.3335, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 1353.0836, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 942.3809, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 937.5117, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8268, kappa: 0.7754, kb_relative_information_score: 1452.0994, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8279, predictive_accuracy: 0.8273, prior_entropy: 2.3268, recall: 0.8273, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5616, scimark_benchmark: 939.7241, usercpu_time_millis: 1210, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8346, kappa: 0.7857, kb_relative_information_score: 1457.0797, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8361, predictive_accuracy: 0.8351, prior_entropy: 2.3268, recall: 0.8351, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.555, scimark_benchmark: 851.2074, usercpu_time_millis: 7500, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1051.249, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 298.5033, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1337.797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1370.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1350.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1356.4396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 1336.0954, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1335.5424, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.113, build_memory: 5000360058.002, f_measure: 0.8246, kappa: 0.7714, kb_relative_information_score: 1414.1627, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8345, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 925.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.6845, kappa: 0.5858, kb_relative_information_score: 1243.2184, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6976, predictive_accuracy: 0.6766, prior_entropy: 2.3268, recall: 0.6766, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7799, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7496, kappa: 0.6764, kb_relative_information_score: 1390.0604, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7507, predictive_accuracy: 0.7498, prior_entropy: 2.3268, recall: 0.7498, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7503, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.326, kappa: 0.1284, kb_relative_information_score: 399.684, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3203, predictive_accuracy: 0.34, prior_entropy: 2.3268, recall: 0.34, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.3089, scimark_benchmark: 912.5006, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1313.5726, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7455, kappa: 0.6707, kb_relative_information_score: 1336.8451, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7458, predictive_accuracy: 0.7468, prior_entropy: 2.3268, recall: 0.7468, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7086, scimark_benchmark: 1337.7959, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7556, kappa: 0.6828, kb_relative_information_score: 1423.1825, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7556, predictive_accuracy: 0.7556, prior_entropy: 2.3268, recall: 0.7556, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7628, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5922, kappa: 0.4803, kb_relative_information_score: 1027.1963, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5902, predictive_accuracy: 0.6059, prior_entropy: 2.3268, recall: 0.6059, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8595, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.3336, kappa: 0.2119, kb_relative_information_score: 114.6414, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.2676, predictive_accuracy: 0.4512, prior_entropy: 2.3268, recall: 0.4512, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.9864, scimark_benchmark: 930.5999, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6955, kappa: 0.6102, kb_relative_information_score: 370.8093, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6966, predictive_accuracy: 0.7, prior_entropy: 2.3268, recall: 0.7, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9357, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7284, kappa: 0.6501, kb_relative_information_score: 1334.34, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7299, predictive_accuracy: 0.7317, prior_entropy: 2.3268, recall: 0.7317, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7655, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.6552, kappa: 0.5558, kb_relative_information_score: 1069.1571, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6546, predictive_accuracy: 0.6595, prior_entropy: 2.3268, recall: 0.6595, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8033, scimark_benchmark: 1331.2332, usercpu_time_millis: 120, usercpu_time_millis_training: 120,

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