Task
Supervised Classification on lsvt

Supervised Classification on lsvt

Task 9975 Supervised Classification lsvt 131 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7947, kappa: 0.5283, kb_relative_information_score: 50.6261, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7973, predictive_accuracy: 0.8016, prior_entropy: 0.9209, recall: 0.8016, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.5612, kb_relative_information_score: 4.197, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.5556, predictive_accuracy: 0.6349, prior_entropy: 0.9209, recall: 0.6349, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.7016, kappa: 0.3372, kb_relative_information_score: 5.592, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7062, predictive_accuracy: 0.6984, prior_entropy: 0.9209, recall: 0.6984, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7373, kappa: 0.3922, kb_relative_information_score: 44.7242, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7464, predictive_accuracy: 0.754, prior_entropy: 0.9209, recall: 0.754, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.5849, kappa: 0.0497, kb_relative_information_score: -9.689, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.578, predictive_accuracy: 0.5952, prior_entropy: 0.9209, recall: 0.5952, relative_absolute_error: 1.0527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5782, root_relative_squared_error: 1.2266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8198, kappa: 0.6012, kb_relative_information_score: 61.8662, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8248, predictive_accuracy: 0.8175, prior_entropy: 0.9209, recall: 0.8175, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7863, kappa: 0.5207, kb_relative_information_score: 65.6465, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7871, predictive_accuracy: 0.7857, prior_entropy: 0.9209, recall: 0.7857, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5378, kappa: 0.212, kb_relative_information_score: -8.3177, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7297, predictive_accuracy: 0.5476, prior_entropy: 0.9209, recall: 0.5476, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6726, root_relative_squared_error: 1.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8115, kappa: 0.5814, kb_relative_information_score: 70.9097, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8152, predictive_accuracy: 0.8095, prior_entropy: 0.9209, recall: 0.8095, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.6376, kappa: 0.254, kb_relative_information_score: 35.8136, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.6825, predictive_accuracy: 0.627, prior_entropy: 0.9209, recall: 0.627, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8217, kappa: 0.5926, kb_relative_information_score: 49.4279, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8222, predictive_accuracy: 0.8254, prior_entropy: 0.9209, recall: 0.8254, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8517, kappa: 0.6743, kb_relative_information_score: 76.7559, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8596, predictive_accuracy: 0.8492, prior_entropy: 0.9209, recall: 0.8492, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.601, kappa: 0.2925, kb_relative_information_score: 9.4208, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7678, predictive_accuracy: 0.6032, prior_entropy: 0.9209, recall: 0.6032, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.621, root_relative_squared_error: 1.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.5144, kappa: 0.1991, kb_relative_information_score: -13.0183, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.739, predictive_accuracy: 0.5317, prior_entropy: 0.9209, recall: 0.5317, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6843, root_relative_squared_error: 1.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7569, kappa: 0.4444, kb_relative_information_score: 44.2075, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7556, predictive_accuracy: 0.7619, prior_entropy: 0.9209, recall: 0.7619, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8124, kappa: 0.5658, kb_relative_information_score: 41.3402, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8349, predictive_accuracy: 0.8254, prior_entropy: 0.9209, recall: 0.8254, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, f_measure: 0.5333, kb_relative_information_score: -0.2389, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8477, kappa: 0.6545, kb_relative_information_score: 60.3294, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8473, predictive_accuracy: 0.8492, prior_entropy: 0.9209, recall: 0.8492, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8477, kappa: 0.6545, kb_relative_information_score: 67.361, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8473, predictive_accuracy: 0.8492, prior_entropy: 0.9209, recall: 0.8492, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8579, kappa: 0.6824, kb_relative_information_score: 69.6916, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8592, predictive_accuracy: 0.8571, prior_entropy: 0.9209, recall: 0.8571, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7532, kappa: 0.4431, kb_relative_information_score: 52.6234, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7526, predictive_accuracy: 0.754, prior_entropy: 0.9209, recall: 0.754, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.5181, kappa: 0.1918, kb_relative_information_score: -13.0183, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7221, predictive_accuracy: 0.5317, prior_entropy: 0.9209, recall: 0.5317, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6843, root_relative_squared_error: 1.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8579, kappa: 0.6824, kb_relative_information_score: 82.8949, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8592, predictive_accuracy: 0.8571, prior_entropy: 0.9209, recall: 0.8571, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8454, kappa: 0.646, kb_relative_information_score: 80.9939, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8476, predictive_accuracy: 0.8492, prior_entropy: 0.9209, recall: 0.8492, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.822, kappa: 0.6188, kb_relative_information_score: 68.8864, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.844, predictive_accuracy: 0.8175, prior_entropy: 0.9209, recall: 0.8175, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8628, kappa: 0.6871, kb_relative_information_score: 85.6945, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8635, predictive_accuracy: 0.8651, prior_entropy: 0.9209, recall: 0.8651, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.835, kappa: 0.6203, kb_relative_information_score: 49.0771, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8415, predictive_accuracy: 0.8413, prior_entropy: 0.9209, recall: 0.8413, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8703, kappa: 0.7037, kb_relative_information_score: 88.0448, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8722, predictive_accuracy: 0.873, prior_entropy: 0.9209, recall: 0.873, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5805, kappa: 0.2392, kb_relative_information_score: 1.53, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7182, predictive_accuracy: 0.5794, prior_entropy: 0.9209, recall: 0.5794, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7521, kappa: 0.4667, kb_relative_information_score: 51.1542, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7716, predictive_accuracy: 0.746, prior_entropy: 0.9209, recall: 0.746, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7619, kappa: 0.4643, kb_relative_information_score: 55.0107, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.9209, recall: 0.7619, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.5333, kb_relative_information_score: 0.4611, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7748, kappa: 0.4878, kb_relative_information_score: 45.4268, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7735, predictive_accuracy: 0.7778, prior_entropy: 0.9209, recall: 0.7778, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7676, kappa: 0.4727, kb_relative_information_score: 57.4908, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7663, predictive_accuracy: 0.7698, prior_entropy: 0.9209, recall: 0.7698, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.5496, kappa: -0.0244, kb_relative_information_score: -5.9674, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.5447, predictive_accuracy: 0.5556, prior_entropy: 0.9209, recall: 0.5556, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, usercpu_time_millis: 344.157, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 344.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8779, kappa: 0.7205, kb_relative_information_score: 90.3951, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8813, predictive_accuracy: 0.881, prior_entropy: 0.9209, recall: 0.881, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7319, usercpu_time_millis: 346.646, usercpu_time_millis_testing: 34.989, usercpu_time_millis_training: 311.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.8365, kappa: 0.625, kb_relative_information_score: 78.6436, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8397, predictive_accuracy: 0.8413, prior_entropy: 0.9209, recall: 0.8413, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8451, usercpu_time_millis: 142.279, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 141.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 50.183, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 48.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6141, kappa: 0.1132, kb_relative_information_score: 15.1854, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.6074, predictive_accuracy: 0.627, prior_entropy: 0.9209, recall: 0.627, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6108, root_relative_squared_error: 1.2956, usercpu_time_millis: 4.331, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 4.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.807, kappa: 0.561, kb_relative_information_score: 69.2424, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8062, predictive_accuracy: 0.8095, prior_entropy: 0.9209, recall: 0.8095, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9258, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.8484, kappa: 0.6494, kb_relative_information_score: 83.3442, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8673, predictive_accuracy: 0.8571, prior_entropy: 0.9209, recall: 0.8571, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8018, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7839, kappa: 0.5435, kb_relative_information_score: 59.8412, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8147, predictive_accuracy: 0.7778, prior_entropy: 0.9209, recall: 0.7778, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8, kappa: 0.5385, kb_relative_information_score: 69.2424, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8083, predictive_accuracy: 0.8095, prior_entropy: 0.9209, recall: 0.8095, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9258, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8185, kappa: 0.5823, kb_relative_information_score: 73.943, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.824, predictive_accuracy: 0.8254, prior_entropy: 0.9209, recall: 0.8254, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8864, usercpu_time_millis: 10.394, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 9.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8185, kappa: 0.5823, kb_relative_information_score: 73.943, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.824, predictive_accuracy: 0.8254, prior_entropy: 0.9209, recall: 0.8254, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8864, usercpu_time_millis: 6.244, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 5.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.8259, kappa: 0.5987, kb_relative_information_score: 76.2933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9209, recall: 0.8333, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.866, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5729, kappa: 0.1709, kb_relative_information_score: -3.6171, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.6527, predictive_accuracy: 0.5635, prior_entropy: 0.9209, recall: 0.5635, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.4015, usercpu_time_millis: 2.588, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7604, kappa: 0.4578, kb_relative_information_score: 55.1405, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7593, predictive_accuracy: 0.7619, prior_entropy: 0.9209, recall: 0.7619, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0351, usercpu_time_millis: 4.775, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 2.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5295, kappa: -0.0157, kb_relative_information_score: 24.5866, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4427, predictive_accuracy: 0.6587, prior_entropy: 0.9209, recall: 0.6587, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5842, root_relative_squared_error: 1.2392, usercpu_time_millis: 0.531, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7143, kappa: 0.3571, kb_relative_information_score: 41.0387, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9209, recall: 0.7143, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1339, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 2.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.668, kappa: 0.3316, kb_relative_information_score: 24.5866, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7292, predictive_accuracy: 0.6587, prior_entropy: 0.9209, recall: 0.6587, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5842, root_relative_squared_error: 1.2392, usercpu_time_millis: 0.882, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 35.046, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 31.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5625, kappa: -0.0132, kb_relative_information_score: 5.7841, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.5489, predictive_accuracy: 0.5952, prior_entropy: 0.9209, recall: 0.5952, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6362, root_relative_squared_error: 1.3496, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8338, kappa: 0.6272, kb_relative_information_score: 76.2933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8344, predictive_accuracy: 0.8333, prior_entropy: 0.9209, recall: 0.8333, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.866, usercpu_time_millis: 20.298, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 20.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 1.687, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7286, kappa: 0.4134, kb_relative_information_score: 43.389, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7458, predictive_accuracy: 0.7222, prior_entropy: 0.9209, recall: 0.7222, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.527, root_relative_squared_error: 1.118, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.498, kappa: 0.1719, kb_relative_information_score: -17.7189, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.714, predictive_accuracy: 0.5159, prior_entropy: 0.9209, recall: 0.5159, relative_absolute_error: 1.0872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.476, usercpu_time_millis: 2.725, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 1.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5729, kappa: 0.1709, kb_relative_information_score: -3.6171, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.6527, predictive_accuracy: 0.5635, prior_entropy: 0.9209, recall: 0.5635, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.4015, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.5514, kappa: 0.0315, kb_relative_information_score: 29.2872, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7813, predictive_accuracy: 0.6746, prior_entropy: 0.9209, recall: 0.6746, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.2101, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8504, kappa: 0.6667, kb_relative_information_score: 80.9939, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8527, predictive_accuracy: 0.8492, prior_entropy: 0.9209, recall: 0.8492, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8237, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7855, kappa: 0.5063, kb_relative_information_score: 64.5418, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.789, predictive_accuracy: 0.7937, prior_entropy: 0.9209, recall: 0.7937, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, usercpu_time_millis: 5.351, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 3.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7521, kappa: 0.4667, kb_relative_information_score: 50.4399, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7716, predictive_accuracy: 0.746, prior_entropy: 0.9209, recall: 0.746, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.504, root_relative_squared_error: 1.069, usercpu_time_millis: 4.892, usercpu_time_millis_testing: 2.132, usercpu_time_millis_training: 2.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7619, kappa: 0.4643, kb_relative_information_score: 55.1405, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.9209, recall: 0.7619, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0351, usercpu_time_millis: 5.415, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 3.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.8484, kappa: 0.6494, kb_relative_information_score: 83.3442, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8673, predictive_accuracy: 0.8571, prior_entropy: 0.9209, recall: 0.8571, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8018, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8123, kappa: 0.5862, kb_relative_information_score: 69.2424, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8189, predictive_accuracy: 0.8095, prior_entropy: 0.9209, recall: 0.8095, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9258, usercpu_time_millis: 1.569, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 26.9369, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9209, recall: 0.6667, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, usercpu_time_millis: 4.091, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 3.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8813, kappa: 0.7337, kb_relative_information_score: 90.3951, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.8818, predictive_accuracy: 0.881, prior_entropy: 0.9209, recall: 0.881, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7319, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6826, kappa: 0.2733, kb_relative_information_score: 33.9878, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4453, number_of_instances: 126, precision: 0.6791, predictive_accuracy: 0.6905, prior_entropy: 0.9209, recall: 0.6905, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1802, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.936,

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