OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 4551 Supervised Classification cmc 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6551, kappa: 0.2984, kb_relative_information_score: 2758.1112, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6773, predictive_accuracy: 0.6735, prior_entropy: 0.9846, recall: 0.6735, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9426, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7074, kappa: 0.4013, kb_relative_information_score: 2640.8433, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7231, predictive_accuracy: 0.7183, prior_entropy: 0.9846, recall: 0.7183, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8926, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7011, kappa: 0.3867, kb_relative_information_score: 3858.0877, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7097, predictive_accuracy: 0.7093, prior_entropy: 0.9846, recall: 0.7093, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8775, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 941.3142, usercpu_time_millis: 620, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6629, kappa: 0.3075, kb_relative_information_score: 3393.8906, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6659, predictive_accuracy: 0.6696, prior_entropy: 0.9846, recall: 0.6696, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.935, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6943, kappa: 0.3726, kb_relative_information_score: 3792.0997, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7018, predictive_accuracy: 0.7023, prior_entropy: 0.9846, recall: 0.7023, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8956, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 3472.9409, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6976, predictive_accuracy: 0.6998, prior_entropy: 0.9846, recall: 0.6998, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9104, scimark_benchmark: 926.576, usercpu_time_millis: 48780, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 48270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 931.771, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6636, kappa: 0.3094, kb_relative_information_score: 3582.4737, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6632, predictive_accuracy: 0.6663, prior_entropy: 0.9846, recall: 0.6663, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.465, root_relative_squared_error: 0.94, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 941.3847, usercpu_time_millis: 620, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6636, kappa: 0.3094, kb_relative_information_score: 3582.4737, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6632, predictive_accuracy: 0.6663, prior_entropy: 0.9846, recall: 0.6663, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.465, root_relative_squared_error: 0.94, scimark_benchmark: 947.1781, usercpu_time_millis: 430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6551, kappa: 0.2984, kb_relative_information_score: 2758.1112, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6773, predictive_accuracy: 0.6735, prior_entropy: 0.9846, recall: 0.6735, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9426, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7074, kappa: 0.4013, kb_relative_information_score: 2640.8433, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7231, predictive_accuracy: 0.7183, prior_entropy: 0.9846, recall: 0.7183, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8926, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7011, kappa: 0.3867, kb_relative_information_score: 3858.0877, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7097, predictive_accuracy: 0.7093, prior_entropy: 0.9846, recall: 0.7093, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8775, scimark_benchmark: 936.2574, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 908.9569, usercpu_time_millis: 740, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 859.5223, usercpu_time_millis: 600, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6629, kappa: 0.3075, kb_relative_information_score: 3393.8906, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6659, predictive_accuracy: 0.6696, prior_entropy: 0.9846, recall: 0.6696, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.935, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6943, kappa: 0.3726, kb_relative_information_score: 3792.0997, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7018, predictive_accuracy: 0.7023, prior_entropy: 0.9846, recall: 0.7023, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8956, scimark_benchmark: 903.2737, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 3472.9409, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6976, predictive_accuracy: 0.6998, prior_entropy: 0.9846, recall: 0.6998, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9104, scimark_benchmark: 906.0979, usercpu_time_millis: 46650, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 46110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 936.3213, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6636, kappa: 0.3094, kb_relative_information_score: 3582.4737, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6632, predictive_accuracy: 0.6663, prior_entropy: 0.9846, recall: 0.6663, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.465, root_relative_squared_error: 0.94, scimark_benchmark: 901.4991, usercpu_time_millis: 430, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7056, kappa: 0.3977, kb_relative_information_score: 3565.7903, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.722, predictive_accuracy: 0.7169, prior_entropy: 0.9846, recall: 0.7169, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8772, scimark_benchmark: 1051.249, usercpu_time_millis: 20000, usercpu_time_millis_testing: 7340, usercpu_time_millis_training: 12660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7051, kappa: 0.3966, kb_relative_information_score: 3569.7576, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7212, predictive_accuracy: 0.7163, prior_entropy: 0.9846, recall: 0.7163, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8776, scimark_benchmark: 859.5223, usercpu_time_millis: 6000, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7044, kappa: 0.3951, kb_relative_information_score: 3565.0112, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7202, predictive_accuracy: 0.7155, prior_entropy: 0.9846, recall: 0.7155, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.879, scimark_benchmark: 938.4601, usercpu_time_millis: 3010, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7004, kappa: 0.3867, kb_relative_information_score: 3568.9309, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7152, predictive_accuracy: 0.7114, prior_entropy: 0.9846, recall: 0.7114, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8809, scimark_benchmark: 939.3535, usercpu_time_millis: 1510, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6984, kappa: 0.3824, kb_relative_information_score: 3556.3343, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7117, predictive_accuracy: 0.709, prior_entropy: 0.9846, recall: 0.709, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8851, scimark_benchmark: 896.2181, usercpu_time_millis: 760, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6878, kappa: 0.3587, kb_relative_information_score: 3453.1811, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6924, predictive_accuracy: 0.6944, prior_entropy: 0.9846, recall: 0.6944, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.89, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6878, kappa: 0.3587, kb_relative_information_score: 3453.1811, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6924, predictive_accuracy: 0.6944, prior_entropy: 0.9846, recall: 0.6944, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.89, scimark_benchmark: 930.0565, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6878, kappa: 0.3587, kb_relative_information_score: 3453.1811, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6924, predictive_accuracy: 0.6944, prior_entropy: 0.9846, recall: 0.6944, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.89, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6878, kappa: 0.3587, kb_relative_information_score: 3453.1811, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6924, predictive_accuracy: 0.6944, prior_entropy: 0.9846, recall: 0.6944, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.89, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4174, kb_relative_information_score: 1.6629, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6629, kappa: 0.3075, kb_relative_information_score: 3393.8906, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6659, predictive_accuracy: 0.6696, prior_entropy: 0.9846, recall: 0.6696, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.935, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6943, kappa: 0.372, kb_relative_information_score: 3472.9564, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6976, predictive_accuracy: 0.6998, prior_entropy: 0.9846, recall: 0.6998, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9104, scimark_benchmark: 1313.8988, usercpu_time_millis: 18860, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 18470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 1316.5396, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6629, kappa: 0.3075, kb_relative_information_score: 3393.8906, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6659, predictive_accuracy: 0.6696, prior_entropy: 0.9846, recall: 0.6696, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.935, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 1322.1893, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6636, kappa: 0.3094, kb_relative_information_score: 3582.4737, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6632, predictive_accuracy: 0.6663, prior_entropy: 0.9846, recall: 0.6663, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.465, root_relative_squared_error: 0.94, scimark_benchmark: 1313.5633, usercpu_time_millis: 420, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7074, kappa: 0.4013, kb_relative_information_score: 2640.8433, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7231, predictive_accuracy: 0.7183, prior_entropy: 0.9846, recall: 0.7183, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8926, scimark_benchmark: 1340.5125, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 1316.6799, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 1340.9134, usercpu_time_millis: 560, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7129, kappa: 0.4118, kb_relative_information_score: 6303.2044, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.7267, predictive_accuracy: 0.7227, prior_entropy: 0.9846, recall: 0.7227, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0646, scimark_benchmark: 1324.6608, usercpu_time_millis: 600, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6685, kappa: 0.3192, kb_relative_information_score: 3521.1771, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6728, predictive_accuracy: 0.6759, prior_entropy: 0.9846, recall: 0.6759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9481, scimark_benchmark: 940.3347, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6695, kappa: 0.3237, kb_relative_information_score: 3226.7555, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6823, predictive_accuracy: 0.6819, prior_entropy: 0.9846, recall: 0.6819, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9155, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6888, kappa: 0.3616, kb_relative_information_score: 3930.6902, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4894, number_of_instances: 14730, precision: 0.6968, predictive_accuracy: 0.6974, prior_entropy: 0.9846, recall: 0.6974, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9422, scimark_benchmark: 1280.6338, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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