OpenML
Supervised Classification on analcatdata_runshoes

Supervised Classification on analcatdata_runshoes

Task 3707 Supervised Classification analcatdata_runshoes 469 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.768, kappa: 0.5205, kb_relative_information_score: 20.1796, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.771, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9048, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7667, kappa: 0.5139, kb_relative_information_score: 23.0202, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8965, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.45, kb_relative_information_score: -0.3275, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0031, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.6303, kappa: 0.2254, kb_relative_information_score: 5.7624, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6287, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0546, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 10.7433, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.977, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 20.0143, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9842, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7282, kappa: 0.4286, kb_relative_information_score: 16.2823, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.73, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8957, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4421, kappa: -0.0331, kb_relative_information_score: 7.0742, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.3559, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3176, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 9.5824, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0429, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.6303, kappa: 0.2254, kb_relative_information_score: 5.7624, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6287, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0546, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 10.7433, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.977, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 20.0143, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9842, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4421, kappa: -0.0331, kb_relative_information_score: 7.0742, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.3559, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3176, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4421, kappa: -0.0331, kb_relative_information_score: 7.0742, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.3559, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3176, scimark_benchmark: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7282, kappa: 0.4286, kb_relative_information_score: 16.2823, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.73, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8957, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7622, kappa: 0.5, kb_relative_information_score: 18.3972, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 941.7976, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 934.695, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7984, kappa: 0.5775, kb_relative_information_score: 19.9996, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9728, recall: 0.8, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8434, scimark_benchmark: 901.6243, usercpu_time_millis: 410, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7984, kappa: 0.5775, kb_relative_information_score: 20.8244, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9728, recall: 0.8, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8355, scimark_benchmark: 940.1541, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.7984, kappa: 0.5775, kb_relative_information_score: 18.8992, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9728, recall: 0.8, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8666, scimark_benchmark: 939.3535, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 17.4438, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8797, scimark_benchmark: 869.7667, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 17.4432, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 899.1108, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6667, kappa: 0.3056, kb_relative_information_score: 17.5313, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9728, recall: 0.6667, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9597, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6667, kappa: 0.3056, kb_relative_information_score: 17.5313, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9728, recall: 0.6667, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9597, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6667, kappa: 0.3056, kb_relative_information_score: 17.5313, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9728, recall: 0.6667, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9597, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6667, kappa: 0.3056, kb_relative_information_score: 17.5313, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9728, recall: 0.6667, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9597, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6487, kappa: 0.2657, kb_relative_information_score: 16.1747, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6477, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9631, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.45, kb_relative_information_score: -0.3275, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4914, root_relative_squared_error: 1.0031, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.7094, kappa: 0.3885, kb_relative_information_score: 23.2258, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7127, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0124, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6752, kappa: 0.3165, kb_relative_information_score: 23.6023, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.677, predictive_accuracy: 0.6833, prior_entropy: 0.9728, recall: 0.6833, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9927, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 10.7433, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.977, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7622, kappa: 0.5, kb_relative_information_score: 18.3972, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 10.7433, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.977, scimark_benchmark: 1346.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 20.0143, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9842, scimark_benchmark: 1350.4825, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 9.5824, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0429, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 10.1051, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0153, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.6354, kappa: 0.2466, kb_relative_information_score: 6.3135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6389, predictive_accuracy: 0.6333, prior_entropy: 0.9728, recall: 0.6333, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0898, scimark_benchmark: 1306.9281, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 10.7433, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.977, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7176, kappa: 0.4138, kb_relative_information_score: 20.0143, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7189, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9842, scimark_benchmark: 1321.8321,

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