Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1881.4547, usercpu_time_millis: 12.623, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 12.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6743, kappa: 0.2675, kb_relative_information_score: 282.6461, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7078, predictive_accuracy: 0.712, prior_entropy: 0.9313, recall: 0.712, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9213, scimark_benchmark: 1878.3273, usercpu_time_millis: 24.47, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6714, kappa: 0.2615, kb_relative_information_score: 277.9501, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7065, predictive_accuracy: 0.7105, prior_entropy: 0.9313, recall: 0.7105, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9223, scimark_benchmark: 1872.9496, usercpu_time_millis: 25.953, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 25.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.983, kappa: 0.9623, kb_relative_information_score: 1187.2571, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9313, recall: 0.983, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.5033, scimark_benchmark: 1876.6882, usercpu_time_millis: 21.366, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 21.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8128, kappa: 0.5781, kb_relative_information_score: 667.7239, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8193, predictive_accuracy: 0.8197, prior_entropy: 0.9313, recall: 0.8197, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7692, scimark_benchmark: 1875.903, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1873.9387, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 3.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1874.3338, usercpu_time_millis: 21.818, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 21.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1921.5967, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0681, scimark_benchmark: 1872.8797, usercpu_time_millis: 6.989, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1924.5436, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679, scimark_benchmark: 1871.2001, usercpu_time_millis: 11.173, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 11.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9539, kappa: 0.8978, kb_relative_information_score: 1561.1857, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9313, recall: 0.9541, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3964, scimark_benchmark: 1877.7992, usercpu_time_millis: 21.024, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 20.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.6779, kappa: 0.2842, kb_relative_information_score: 312.2766, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7589, predictive_accuracy: 0.728, prior_entropy: 0.9313, recall: 0.728, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8745, scimark_benchmark: 1873.8058, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7343, kappa: 0.4028, kb_relative_information_score: 181.8066, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7912, predictive_accuracy: 0.7656, prior_entropy: 0.9313, recall: 0.7656, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9073, scimark_benchmark: 1874.3338, usercpu_time_millis: 2.004, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7308, kappa: 0.3925, kb_relative_information_score: 462.9813, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7347, predictive_accuracy: 0.7429, prior_entropy: 0.9313, recall: 0.7429, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8746, scimark_benchmark: 1878.7854, usercpu_time_millis: 2.709, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.6618, kappa: 0.2436, kb_relative_information_score: 239.1013, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7089, predictive_accuracy: 0.7079, prior_entropy: 0.9313, recall: 0.7079, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9291, scimark_benchmark: 1872.9496, usercpu_time_millis: 16.358, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.5163, kb_relative_information_score: -324.0133, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0461, scimark_benchmark: 1870.6721, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9151, kappa: 0.8107, kb_relative_information_score: 711.9485, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9313, recall: 0.916, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7175, scimark_benchmark: 1875.1311, usercpu_time_millis: 3.735, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 3.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.5163, kb_relative_information_score: -287.2311, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0858, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0345, scimark_benchmark: 1879.2533, usercpu_time_millis: 17.803, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 17.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1763.4679, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1611, scimark_benchmark: 1874.5188, usercpu_time_millis: 41.695, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 41.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6725, kappa: 0.2637, kb_relative_information_score: 278.9471, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7068, predictive_accuracy: 0.711, prior_entropy: 0.9313, recall: 0.711, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9224, scimark_benchmark: 1870.742, usercpu_time_millis: 12.143, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5163, kb_relative_information_score: -0.4605, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9988, scimark_benchmark: 1870.1619, usercpu_time_millis: 5.765, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 5.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6364, kappa: 0.1866, kb_relative_information_score: 206.5926, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6707, predictive_accuracy: 0.6857, prior_entropy: 0.9313, recall: 0.6857, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9295, scimark_benchmark: 1874.1354, usercpu_time_millis: 36.842, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 36.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9918, kappa: 0.9818, kb_relative_information_score: 1779.6123, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1939, scimark_benchmark: 1872.8797, usercpu_time_millis: 16.38, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 16.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.682, kappa: 0.284, kb_relative_information_score: 360.163, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7139, predictive_accuracy: 0.7172, prior_entropy: 0.9313, recall: 0.7172, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8803, scimark_benchmark: 1866.4239, usercpu_time_millis: 0.827, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9113, kappa: 0.803, kb_relative_information_score: 1091.4643, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9114, predictive_accuracy: 0.9119, prior_entropy: 0.9313, recall: 0.9119, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5946, scimark_benchmark: 1874.0573, usercpu_time_millis: 10.486, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 10.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5163, kb_relative_information_score: -336.8513, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1035, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0505, scimark_benchmark: 1760.7465, usercpu_time_millis: 13.698, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 13.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7624, kappa: 0.4627, kb_relative_information_score: 591.0349, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.787, predictive_accuracy: 0.7805, prior_entropy: 0.9313, recall: 0.7805, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.789, scimark_benchmark: 1872.9496, usercpu_time_millis: 4.063, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 4.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1785.1383, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1425, scimark_benchmark: 1873.9387, usercpu_time_millis: 19.378, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 19.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1867.0195, usercpu_time_millis: 20.805, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 20.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1877.6143, usercpu_time_millis: 12.8, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 12.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7017, kappa: 0.3288, kb_relative_information_score: 428.9527, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7432, predictive_accuracy: 0.7357, prior_entropy: 0.9313, recall: 0.7357, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8606, scimark_benchmark: 1874.3338, usercpu_time_millis: 21.414, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 21.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1919.9004, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0703, scimark_benchmark: 1754.5236, usercpu_time_millis: 18.016, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6159, kappa: 0.1392, kb_relative_information_score: 125.6352, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6363, predictive_accuracy: 0.6656, prior_entropy: 0.9313, recall: 0.6656, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9597, scimark_benchmark: 1875.903, usercpu_time_millis: 7.519, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 7.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8147, kappa: 0.5828, kb_relative_information_score: 674.2753, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8205, predictive_accuracy: 0.8212, prior_entropy: 0.9313, recall: 0.8212, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7666, scimark_benchmark: 1873.8058, usercpu_time_millis: 16.845, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 16.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.699, kappa: 0.3244, kb_relative_information_score: 442.1564, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.697, predictive_accuracy: 0.7069, prior_entropy: 0.9313, recall: 0.7069, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9282, scimark_benchmark: 1882.6259, usercpu_time_millis: 10.061, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 9.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6852, kappa: 0.2921, kb_relative_information_score: 345.0476, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.723, predictive_accuracy: 0.7218, prior_entropy: 0.9313, recall: 0.7218, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8984, scimark_benchmark: 1877.2162, usercpu_time_millis: 19.943, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 19.931,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8832, kappa: 0.7437, kb_relative_information_score: 1015.0609, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8844, predictive_accuracy: 0.8825, prior_entropy: 0.9313, recall: 0.8825, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6241, scimark_benchmark: 1875.0498, usercpu_time_millis: 19.633, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.622,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.7424, kappa: 0.419, kb_relative_information_score: 531.8159, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7828, predictive_accuracy: 0.7682, prior_entropy: 0.9313, recall: 0.7682, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8182, scimark_benchmark: 1843.1261, usercpu_time_millis: 7.781, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8166, kappa: 0.5907, kb_relative_information_score: 938.994, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8164, predictive_accuracy: 0.8192, prior_entropy: 0.9313, recall: 0.8192, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7541, scimark_benchmark: 1874.977, usercpu_time_millis: 45.511, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 45.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1864.5181, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0938, scimark_benchmark: 1870.0988, usercpu_time_millis: 29.69, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 29.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7952, kappa: 0.5369, kb_relative_information_score: 324.1409, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8141, predictive_accuracy: 0.8078, prior_entropy: 0.9313, recall: 0.8078, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8601, scimark_benchmark: 1825.75, usercpu_time_millis: 5.59, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 5.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1897.6624, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0745, scimark_benchmark: 1985.3413, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6785, kappa: 0.2777, kb_relative_information_score: 338.3714, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7174, predictive_accuracy: 0.7172, prior_entropy: 0.9313, recall: 0.7172, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8999, scimark_benchmark: 1867.53, usercpu_time_millis: 6.004, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 5.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9669, kappa: 0.9267, kb_relative_information_score: 1610.4426, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9313, recall: 0.967, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.168, root_relative_squared_error: 0.353, scimark_benchmark: 1873.8757, usercpu_time_millis: 54.402, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 54.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.6798, kappa: 0.2824, kb_relative_information_score: 366.1408, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7283, predictive_accuracy: 0.7213, prior_entropy: 0.9313, recall: 0.7213, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8793, scimark_benchmark: 1872.8797, usercpu_time_millis: 13.434, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9685, kappa: 0.9302, kb_relative_information_score: 1315.4292, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.9313, recall: 0.9686, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4654, scimark_benchmark: 1877.7472, usercpu_time_millis: 52.648, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 52.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.985, kappa: 0.967, kb_relative_information_score: 1740.5509, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.985, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2479, scimark_benchmark: 1867.4742, usercpu_time_millis: 26.812, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 26.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1823.0045, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1176, scimark_benchmark: 1872.8797, usercpu_time_millis: 16.367, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1628.5286, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.239, scimark_benchmark: 1872.7767, usercpu_time_millis: 2.492, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.6874, kappa: 0.2969, kb_relative_information_score: 371.9558, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7248, predictive_accuracy: 0.7233, prior_entropy: 0.9313, recall: 0.7233, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8859, scimark_benchmark: 1877.2162, usercpu_time_millis: 40.598, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 40.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6763, kappa: 0.2714, kb_relative_information_score: 299.0246, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7074, predictive_accuracy: 0.7125, prior_entropy: 0.9313, recall: 0.7125, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9173, scimark_benchmark: 1873.8757, usercpu_time_millis: 18.504, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1600.5012, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2552, scimark_benchmark: 1873.9387, usercpu_time_millis: 11.668, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 11.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1835.9517, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1084, scimark_benchmark: 1877.289, usercpu_time_millis: 59.126, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 59.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1921.3668, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.0622, scimark_benchmark: 1871.3226, usercpu_time_millis: 14.737, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6643, kappa: 0.2467, kb_relative_information_score: 263.5882, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7021, predictive_accuracy: 0.7063, prior_entropy: 0.9313, recall: 0.7063, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.925, scimark_benchmark: 1874.5188, usercpu_time_millis: 11.465, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.5163, kb_relative_information_score: -1.7543, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9776, scimark_benchmark: 1872.8797, usercpu_time_millis: 25.465, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 25.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.5163, kb_relative_information_score: -141.1875, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.2139, usercpu_time_millis: 17.892, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 17.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7125, kappa: 0.3513, kb_relative_information_score: 440.5014, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7437, predictive_accuracy: 0.7409, prior_entropy: 0.9313, recall: 0.7409, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8622, scimark_benchmark: 1874.5188, usercpu_time_millis: 16.369, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 16.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5163, kb_relative_information_score: -29.1486, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9878, scimark_benchmark: 1873.8757, usercpu_time_millis: 22.934, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 22.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5163, kb_relative_information_score: -175.0334, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0491, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0116, scimark_benchmark: 1877.2162, usercpu_time_millis: 22.103, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 22.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7893, kappa: 0.5273, kb_relative_information_score: 703.4625, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7904, predictive_accuracy: 0.7944, prior_entropy: 0.9313, recall: 0.7944, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7957, scimark_benchmark: 1878.7854, usercpu_time_millis: 20.357, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 20.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7845, kappa: 0.5168, kb_relative_information_score: 709.8912, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7849, predictive_accuracy: 0.7893, prior_entropy: 0.9313, recall: 0.7893, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7984, scimark_benchmark: 1754.8076, usercpu_time_millis: 40.805, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 40.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1924.1164, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0673, scimark_benchmark: 1872.9496, usercpu_time_millis: 14.105, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 14.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1934.0693, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0655, scimark_benchmark: 1831.5022, usercpu_time_millis: 13.179, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506, scimark_benchmark: 1881.9828, usercpu_time_millis: 30.401, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 30.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1592.5723, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.2792, scimark_benchmark: 1996.7097, usercpu_time_millis: 9.167, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1512.7301, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3377, scimark_benchmark: 1856.1572, usercpu_time_millis: 11.577, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1743.8031, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.1578, scimark_benchmark: 1874.3338, usercpu_time_millis: 9.193, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1744.8214, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1739, scimark_benchmark: 1873.8757, usercpu_time_millis: 6.064, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.053,

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