Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5409.1238, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8836, kappa: 0.8255, kb_relative_information_score: 4634.7771, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8902, predictive_accuracy: 0.8821, prior_entropy: 1.7151, recall: 0.8821, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5676, scimark_benchmark: 1230.3004, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742, scimark_benchmark: 1230.3004, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.5836, kappa: 0.3874, kb_relative_information_score: 2155.1971, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6, predictive_accuracy: 0.5887, prior_entropy: 1.7151, recall: 0.5887, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9449, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742, scimark_benchmark: 1230.3004, usercpu_time_millis: 140, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8287, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.53, kappa: 0.3602, kb_relative_information_score: 2260.9292, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6263, predictive_accuracy: 0.5262, prior_entropy: 1.7151, recall: 0.5262, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0741, scimark_benchmark: 473.1656, usercpu_time_millis: 860, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5409.1238, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123, scimark_benchmark: 473.1656, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.7036, kappa: 0.5506, kb_relative_information_score: 2795.7116, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7062, predictive_accuracy: 0.7051, prior_entropy: 1.7151, recall: 0.7051, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.7664, scimark_benchmark: 1254.1389, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8888, kappa: 0.832, kb_relative_information_score: 4606.2341, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 1.7151, recall: 0.8887, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5793, scimark_benchmark: 478.0529, usercpu_time_millis: 9550, usercpu_time_millis_testing: 9540, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8821, kappa: 0.8234, kb_relative_information_score: 4608.3538, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8889, predictive_accuracy: 0.8807, prior_entropy: 1.7151, recall: 0.8807, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5773, scimark_benchmark: 1229.986, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5342.576, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.1363, scimark_benchmark: 1227.0049, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9302, kappa: 0.8947, kb_relative_information_score: 4839.7521, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9303, predictive_accuracy: 0.9302, prior_entropy: 1.7151, recall: 0.9302, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4108, scimark_benchmark: 1245.4512, usercpu_time_millis: 50450, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 48690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8937, kappa: 0.8396, kb_relative_information_score: 4598.283, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 1.7151, recall: 0.8939, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5264, scimark_benchmark: 478.8297, usercpu_time_millis: 70540, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9227, kappa: 0.8833, kb_relative_information_score: 4581.342, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9227, predictive_accuracy: 0.9228, prior_entropy: 1.7151, recall: 0.9228, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4296, scimark_benchmark: 1245.4188, usercpu_time_millis: 820540, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 820480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7574, kappa: 0.6332, kb_relative_information_score: 3600.3719, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 1.7151, recall: 0.7579, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.855, usercpu_time_millis: 16.322, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 15.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.78, kappa: 0.671, kb_relative_information_score: 3599.5495, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.803, predictive_accuracy: 0.7914, prior_entropy: 1.7151, recall: 0.7914, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7936, usercpu_time_millis: 58.246, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 57.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9733, kappa: 0.9596, kb_relative_information_score: 5243.0458, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 1.7151, recall: 0.9732, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2842, usercpu_time_millis: 3.608, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 3.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3363, kappa: -0.0005, kb_relative_information_score: 662.854, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3108, predictive_accuracy: 0.3979, prior_entropy: 1.7151, recall: 0.3979, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.3483, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.974, kappa: 0.9607, kb_relative_information_score: 5251.8722, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 1.7151, recall: 0.974, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2803, usercpu_time_millis: 16.956, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 15.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9985, kappa: 0.9978, kb_relative_information_score: 5441.2189, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1.7151, recall: 0.9985, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0665, usercpu_time_millis: 325.75, usercpu_time_millis_testing: 6.58, usercpu_time_millis_training: 319.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7908, kappa: 0.707, kb_relative_information_score: 3727.7562, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8007, predictive_accuracy: 0.814, prior_entropy: 1.7151, recall: 0.814, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7495, usercpu_time_millis: 13.803, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 13.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.657, kappa: 0.483, kb_relative_information_score: 2762.8095, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6822, predictive_accuracy: 0.6717, prior_entropy: 1.7151, recall: 0.6717, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9955, usercpu_time_millis: 17.333, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 16.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8888, kappa: 0.832, kb_relative_information_score: 4608.6214, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 1.7151, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796, usercpu_time_millis: 22.488, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 19.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9873, kappa: 0.9809, kb_relative_information_score: 5339.7599, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 1.7151, recall: 0.9874, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.1954, usercpu_time_millis: 506.009, usercpu_time_millis_testing: 103.582, usercpu_time_millis_training: 402.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5411.206, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1245, usercpu_time_millis: 3.437, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 2.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9888, kappa: 0.9831, kb_relative_information_score: 5357.5553, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.7151, recall: 0.9888, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.1837, usercpu_time_millis: 10.214, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 9.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8884, kappa: 0.8315, kb_relative_information_score: 4616.0833, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8884, predictive_accuracy: 0.8884, prior_entropy: 1.7151, recall: 0.8884, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5805, usercpu_time_millis: 2.313, usercpu_time_millis_testing: 2.288, usercpu_time_millis_training: 0.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8763, kappa: 0.8126, kb_relative_information_score: 4489.3154, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8769, predictive_accuracy: 0.877, prior_entropy: 1.7151, recall: 0.877, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.248, root_relative_squared_error: 0.6094, usercpu_time_millis: 16.421, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 13.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.6504, kappa: 0.4775, kb_relative_information_score: 2770.3003, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6613, predictive_accuracy: 0.6582, prior_entropy: 1.7151, recall: 0.6582, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.0159, usercpu_time_millis: 1.619, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.6802, kappa: 0.514, kb_relative_information_score: 2933.1491, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6897, predictive_accuracy: 0.6881, prior_entropy: 1.7151, recall: 0.6881, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9705, usercpu_time_millis: 2.223, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6806, kappa: 0.5142, kb_relative_information_score: 2937.9266, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6914, predictive_accuracy: 0.6882, prior_entropy: 1.7151, recall: 0.6882, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9702, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.6871, kappa: 0.529, kb_relative_information_score: 3070.0729, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6864, predictive_accuracy: 0.691, prior_entropy: 1.7151, recall: 0.691, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9659, usercpu_time_millis: 54.961, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 54.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7036, kappa: 0.5506, kb_relative_information_score: 3157.5428, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7062, predictive_accuracy: 0.7051, prior_entropy: 1.7151, recall: 0.7051, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.384, root_relative_squared_error: 0.9436, usercpu_time_millis: 11.43, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 11.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8271, kappa: 0.7396, kb_relative_information_score: 4084.226, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8294, predictive_accuracy: 0.8297, prior_entropy: 1.7151, recall: 0.8297, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.717, usercpu_time_millis: 133.446, usercpu_time_millis_testing: 10.057, usercpu_time_millis_training: 123.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2249.9467, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6262, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.1965, usercpu_time_millis: 5.52, usercpu_time_millis_testing: 4.584, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.6841, kappa: 0.5295, kb_relative_information_score: 2897.5567, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6914, predictive_accuracy: 0.7018, prior_entropy: 1.7151, recall: 0.7018, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9489, usercpu_time_millis: 10.801, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 10.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7369, kappa: 0.6135, kb_relative_information_score: 3240.0312, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7513, predictive_accuracy: 0.7557, prior_entropy: 1.7151, recall: 0.7557, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8589, usercpu_time_millis: 1.685, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6035, kappa: 0.3996, kb_relative_information_score: 2426.1907, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6031, predictive_accuracy: 0.6105, prior_entropy: 1.7151, recall: 0.6105, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.0844, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6831, kappa: 0.5432, kb_relative_information_score: 3254.8149, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7168, predictive_accuracy: 0.6804, prior_entropy: 1.7151, recall: 0.6804, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9824, usercpu_time_millis: 1.837, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5426.3812, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0998, usercpu_time_millis: 3.518, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 3.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5401.8194, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.131, usercpu_time_millis: 55.838, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 55.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5408.0288, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1267, usercpu_time_millis: 37.211, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 36.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5419.2343, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1128, usercpu_time_millis: 314.119, usercpu_time_millis_testing: 19.493, usercpu_time_millis_training: 294.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9794, kappa: 0.969, kb_relative_information_score: 5282.3028, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 1.7151, recall: 0.9795, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.249, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3184, kappa: 0.0005, kb_relative_information_score: 676.5517, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3113, predictive_accuracy: 0.4005, prior_entropy: 1.7151, recall: 0.4005, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.3454, usercpu_time_millis: 2.371, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6506, kappa: 0.4779, kb_relative_information_score: 2772.7303, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6616, predictive_accuracy: 0.6584, prior_entropy: 1.7151, recall: 0.6584, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4133, root_relative_squared_error: 1.0156, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.3452, kappa: 0.1566, kb_relative_information_score: 1381.3455, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6541, predictive_accuracy: 0.4657, prior_entropy: 1.7151, recall: 0.4657, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.2701, usercpu_time_millis: 57.029, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 56.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7136, kappa: 0.5743, kb_relative_information_score: 3343.3748, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7271, predictive_accuracy: 0.7093, prior_entropy: 1.7151, recall: 0.7093, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.9368, usercpu_time_millis: 381.694, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 381.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5398.6418, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1392, usercpu_time_millis: 5.285, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 5.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8881, kappa: 0.8305, kb_relative_information_score: 4581.7283, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8885, predictive_accuracy: 0.8886, prior_entropy: 1.7151, recall: 0.8886, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5801, usercpu_time_millis: 41.253, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 39.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.757, kappa: 0.6318, kb_relative_information_score: 3579.1882, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.758, predictive_accuracy: 0.7573, prior_entropy: 1.7151, recall: 0.7573, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.856, usercpu_time_millis: 19.106, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 18.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5421.4195, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8053, kappa: 0.7088, kb_relative_information_score: 3778.4413, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8392, predictive_accuracy: 0.8158, prior_entropy: 1.7151, recall: 0.8158, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5391.8701, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1291, scimark_benchmark: 1158.2577, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5298.095, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1289, scimark_benchmark: 1155.9568, usercpu_time_millis: 2720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 5330.246, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1879, scimark_benchmark: 1175.1629, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742, scimark_benchmark: 1183.6533, usercpu_time_millis: 180, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7082, kappa: 0.5573, kb_relative_information_score: 1652.3992, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7195, predictive_accuracy: 0.7141, prior_entropy: 1.7151, recall: 0.7141, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8767, scimark_benchmark: 988.3055, usercpu_time_millis: 5070, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8672, kappa: 0.7989, kb_relative_information_score: 4275.3162, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8674, predictive_accuracy: 0.8673, prior_entropy: 1.7151, recall: 0.8673, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.551, scimark_benchmark: 1294.8614, usercpu_time_millis: 5680, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8375, kappa: 0.7535, kb_relative_information_score: 4010.2621, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8381, predictive_accuracy: 0.8378, prior_entropy: 1.7151, recall: 0.8378, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.583, scimark_benchmark: 1340.9807, usercpu_time_millis: 5180, usercpu_time_millis_testing: 5160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9569, kappa: 0.9348, kb_relative_information_score: 5108.5422, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 1.7151, recall: 0.9569, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3605, scimark_benchmark: 1281.8629, usercpu_time_millis: 1820, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5469, kappa: 0.3811, kb_relative_information_score: 1968.84, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6143, predictive_accuracy: 0.5535, prior_entropy: 1.7151, recall: 0.5535, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9686, scimark_benchmark: 585.9017, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5374.0995, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123, scimark_benchmark: 1015.5854, usercpu_time_millis: 1370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.741, kappa: 0.6018, kb_relative_information_score: 3144.8178, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7624, predictive_accuracy: 0.7309, prior_entropy: 1.7151, recall: 0.7309, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.8087, scimark_benchmark: 1071.4738, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.989, kappa: 0.9834, kb_relative_information_score: 5339.4737, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1.7151, recall: 0.989, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1787, scimark_benchmark: 896.6888, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9407, kappa: 0.9104, kb_relative_information_score: 4941.4029, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9408, predictive_accuracy: 0.9408, prior_entropy: 1.7151, recall: 0.9408, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3634, scimark_benchmark: 980.0054, usercpu_time_millis: 2040, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9224, kappa: 0.8823, kb_relative_information_score: 4761.5319, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 1.7151, recall: 0.9227, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4077, scimark_benchmark: 1151.431, usercpu_time_millis: 2430, usercpu_time_millis_testing: 2330, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8592, kappa: 0.7846, kb_relative_information_score: 4527.7254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8669, predictive_accuracy: 0.8596, prior_entropy: 1.7151, recall: 0.8596, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5434, scimark_benchmark: 1120.5653, usercpu_time_millis: 5260, usercpu_time_millis_testing: 5260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9497, kappa: 0.9236, kb_relative_information_score: 5090.2534, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9512, predictive_accuracy: 0.9498, prior_entropy: 1.7151, recall: 0.9498, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.3364, scimark_benchmark: 1060.4099, usercpu_time_millis: 2010, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.6351, kappa: 0.5181, kb_relative_information_score: 2226.3248, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5951, predictive_accuracy: 0.7095, prior_entropy: 1.7151, recall: 0.7095, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7946, scimark_benchmark: 604.0752, usercpu_time_millis: 6410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8287, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801, scimark_benchmark: 724.5671, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.682, kappa: 0.521, kb_relative_information_score: 2291.8465, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7034, predictive_accuracy: 0.6882, prior_entropy: 1.7151, recall: 0.6882, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8244, scimark_benchmark: 770.6926, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.6241, kappa: 0.5024, kb_relative_information_score: 2134.3232, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.576, predictive_accuracy: 0.6998, prior_entropy: 1.7151, recall: 0.6998, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.8074, scimark_benchmark: 1030.5782, usercpu_time_millis: 3760, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5405.7499, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1255, scimark_benchmark: 897.3581, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8888, kappa: 0.832, kb_relative_information_score: 4606.2341, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 1.7151, recall: 0.8887, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5793, scimark_benchmark: 901.458, usercpu_time_millis: 3430, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742, scimark_benchmark: 935.6931, usercpu_time_millis: 290, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9323, kappa: 0.8976, kb_relative_information_score: 2148.5404, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9324, predictive_accuracy: 0.9324, prior_entropy: 1.7151, recall: 0.9324, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7892, scimark_benchmark: 944.6862, usercpu_time_millis: 51240, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 48670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7034, kappa: 0.5503, kb_relative_information_score: 2792.9839, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.706, predictive_accuracy: 0.7049, prior_entropy: 1.7151, recall: 0.7049, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7667, scimark_benchmark: 943.7305, usercpu_time_millis: 1350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5378.4661, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1005, scimark_benchmark: 944.8364, usercpu_time_millis: 30090, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 29450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8287, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7369, kappa: 0.6135, kb_relative_information_score: 3240.0312, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7513, predictive_accuracy: 0.7557, prior_entropy: 1.7151, recall: 0.7557, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.53, kappa: 0.3602, kb_relative_information_score: 2260.9292, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6263, predictive_accuracy: 0.5262, prior_entropy: 1.7151, recall: 0.5262, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8287, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7369, kappa: 0.6135, kb_relative_information_score: 3240.0312, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7513, predictive_accuracy: 0.7557, prior_entropy: 1.7151, recall: 0.7557, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.53, kappa: 0.3602, kb_relative_information_score: 2260.9292, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6263, predictive_accuracy: 0.5262, prior_entropy: 1.7151, recall: 0.5262, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5391.8701, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.974, kappa: 0.9606, kb_relative_information_score: 5239.857, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 1.7151, recall: 0.974, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9814, kappa: 0.972, kb_relative_information_score: 5266.5924, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.7151, recall: 0.9815, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.091, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5423.6567, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5404.8057, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.953, kappa: 0.9292, kb_relative_information_score: 5097.4205, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9535, predictive_accuracy: 0.9529, prior_entropy: 1.7151, recall: 0.9529, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3588,

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