Task
Supervised Classification on fri_c3_250_50

Supervised Classification on fri_c3_250_50

Task 3737 Supervised Classification fri_c3_250_50 547 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.552, kappa: 0.0831, kb_relative_information_score: 4.5916, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5512, predictive_accuracy: 0.56, prior_entropy: 0.9868, recall: 0.56, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8402, kappa: 0.6747, kb_relative_information_score: 145.6873, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.5859, kappa: 0.1586, kb_relative_information_score: 18.4276, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5956, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.552, kappa: 0.0831, kb_relative_information_score: 19.1662, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5512, predictive_accuracy: 0.56, prior_entropy: 0.9868, recall: 0.56, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8371, kappa: 0.6666, kb_relative_information_score: 130.0768, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8457, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5148, kappa: 0.0069, kb_relative_information_score: 1.949, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5128, predictive_accuracy: 0.524, prior_entropy: 0.9868, recall: 0.524, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8398, kappa: 0.6732, kb_relative_information_score: 165.7033, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8397, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.6122, kappa: 0.2103, kb_relative_information_score: 42.8127, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6124, predictive_accuracy: 0.612, prior_entropy: 0.9868, recall: 0.612, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8915, kappa: 0.7782, kb_relative_information_score: 161.4872, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9868, recall: 0.892, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6966, kappa: 0.3833, kb_relative_information_score: 100.4556, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6975, predictive_accuracy: 0.696, prior_entropy: 0.9868, recall: 0.696, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6235, kappa: 0.2292, kb_relative_information_score: 29.4998, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6235, predictive_accuracy: 0.628, prior_entropy: 0.9868, recall: 0.628, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5189, kappa: 0.0169, kb_relative_information_score: 5.5254, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.518, predictive_accuracy: 0.532, prior_entropy: 0.9868, recall: 0.532, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5535, kappa: 0.0992, kb_relative_information_score: 7.8959, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5665, predictive_accuracy: 0.58, prior_entropy: 0.9868, recall: 0.58, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5749, kappa: 0.1322, kb_relative_information_score: 20.9779, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5742, predictive_accuracy: 0.576, prior_entropy: 0.9868, recall: 0.576, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8469, kappa: 0.6868, kb_relative_information_score: 137.9128, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8486, predictive_accuracy: 0.848, prior_entropy: 0.9868, recall: 0.848, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8143, kappa: 0.62, kb_relative_information_score: 75.1534, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8165, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4115, kb_relative_information_score: -0.0698, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8523, kappa: 0.7001, kb_relative_information_score: 160.1865, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8534, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8754, kappa: 0.7454, kb_relative_information_score: 163.1716, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 63.3194, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9868, recall: 0.68, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 180.1028, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.6049, kappa: 0.1975, kb_relative_information_score: 31.079, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6063, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6514, kappa: 0.2885, kb_relative_information_score: 48.0525, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6509, predictive_accuracy: 0.652, prior_entropy: 0.9868, recall: 0.652, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.751, kappa: 0.4913, kb_relative_information_score: 112.2073, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9868, recall: 0.752, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 180.1028, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6572, kappa: 0.2986, kb_relative_information_score: 75.3945, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.657, predictive_accuracy: 0.66, prior_entropy: 0.9868, recall: 0.66, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8108, kappa: 0.6131, kb_relative_information_score: 65.7085, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9868, recall: 0.812, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.68, kappa: 0.3479, kb_relative_information_score: 46.882, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9868, recall: 0.68, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.638, kappa: 0.2599, kb_relative_information_score: 65.1268, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6373, predictive_accuracy: 0.64, prior_entropy: 0.9868, recall: 0.64, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.6145, kappa: 0.2123, kb_relative_information_score: 29.2178, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6137, predictive_accuracy: 0.616, prior_entropy: 0.9868, recall: 0.616, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.6049, kappa: 0.1975, kb_relative_information_score: 31.079, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6063, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5043, kappa: 0.038, kb_relative_information_score: 4.0317, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5389, predictive_accuracy: 0.564, prior_entropy: 0.9868, recall: 0.564, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7449, kappa: 0.4829, kb_relative_information_score: 69.8105, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7472, predictive_accuracy: 0.744, prior_entropy: 0.9868, recall: 0.744, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7963, kappa: 0.5857, kb_relative_information_score: 145.2153, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7968, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.4725, kappa: 0.0593, kb_relative_information_score: 38.4306, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6445, predictive_accuracy: 0.588, prior_entropy: 0.9868, recall: 0.588, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2958, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.6122, kappa: 0.2103, kb_relative_information_score: 50.7519, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6124, predictive_accuracy: 0.612, prior_entropy: 0.9868, recall: 0.612, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2575, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.5087, kappa: 0.0111, kb_relative_information_score: 13.788, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5158, predictive_accuracy: 0.54, prior_entropy: 0.9868, recall: 0.54, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3692, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.5625, kappa: 0.1051, kb_relative_information_score: 30.2164, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5628, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3207, scimark_benchmark: 1959.6455, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6615, kappa: 0.317, kb_relative_information_score: 60.6817, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.66, prior_entropy: 0.9868, recall: 0.66, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0501, scimark_benchmark: 1381.6272, usercpu_time_millis: 2280, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.5625, kappa: 0.1051, kb_relative_information_score: 30.2164, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5628, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3207, scimark_benchmark: 1385.5155, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.5087, kappa: 0.0111, kb_relative_information_score: 13.788, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5158, predictive_accuracy: 0.54, prior_entropy: 0.9868, recall: 0.54, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3692, scimark_benchmark: 1386.5167, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.4725, kappa: 0.0593, kb_relative_information_score: 38.4306, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6445, predictive_accuracy: 0.588, prior_entropy: 0.9868, recall: 0.588, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2958, scimark_benchmark: 1657.4411, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.6122, kappa: 0.2103, kb_relative_information_score: 50.7519, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6124, predictive_accuracy: 0.612, prior_entropy: 0.9868, recall: 0.612, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2575, scimark_benchmark: 1657.0947, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6612, kappa: 0.314, kb_relative_information_score: 62.4184, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6642, predictive_accuracy: 0.66, prior_entropy: 0.9868, recall: 0.66, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0498, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6004, kappa: 0.2128, kb_relative_information_score: 21.6454, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6208, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9753, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6344, kappa: 0.2515, kb_relative_information_score: 29.6634, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6355, predictive_accuracy: 0.64, prior_entropy: 0.9868, recall: 0.64, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9518, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.638, kappa: 0.2599, kb_relative_information_score: 65.1268, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6373, predictive_accuracy: 0.64, prior_entropy: 0.9868, recall: 0.64, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2113, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.6213, kappa: 0.2252, kb_relative_information_score: 56.9126, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6205, predictive_accuracy: 0.624, prior_entropy: 0.9868, recall: 0.624, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2379, scimark_benchmark: 1167.8408, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8402, kappa: 0.6747, kb_relative_information_score: 145.6873, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7433, scimark_benchmark: 1007.7433, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.888, kappa: 0.7718, kb_relative_information_score: 154.3819, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9868, recall: 0.888, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6043, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8368, kappa: 0.6727, kb_relative_information_score: 173.2878, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8472, predictive_accuracy: 0.836, prior_entropy: 0.9868, recall: 0.836, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6502, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4581, kappa: -0.0218, kb_relative_information_score: -0.9018, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.4963, predictive_accuracy: 0.468, prior_entropy: 0.9868, recall: 0.468, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5991, root_relative_squared_error: 1.2095, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.5181, kappa: 0.0154, kb_relative_information_score: 1.2841, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5168, predictive_accuracy: 0.52, prior_entropy: 0.9868, recall: 0.52, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0421, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8754, kappa: 0.7454, kb_relative_information_score: 163.1716, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6233, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5148, kappa: 0.0069, kb_relative_information_score: 2.4368, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5128, predictive_accuracy: 0.524, prior_entropy: 0.9868, recall: 0.524, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0867, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.815, kappa: 0.6217, kb_relative_information_score: 155.4831, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8157, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.429, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5984, kappa: 0.1795, kb_relative_information_score: 44.5912, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5975, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6466, kappa: 0.2779, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.646, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5975, kappa: 0.199, kb_relative_information_score: 42.5377, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6109, predictive_accuracy: 0.596, prior_entropy: 0.9868, recall: 0.596, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2831, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8402, kappa: 0.6747, kb_relative_information_score: 143.137, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7592, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8, kappa: 0.5925, kb_relative_information_score: 123.1672, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8302, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6242, kappa: 0.2309, kb_relative_information_score: 36.6274, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6239, predictive_accuracy: 0.628, prior_entropy: 0.9868, recall: 0.628, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9915, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.552, kappa: 0.0831, kb_relative_information_score: 19.1662, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5512, predictive_accuracy: 0.56, prior_entropy: 0.9868, recall: 0.56, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2281, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs