Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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173956 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9887, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.1502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 0.99, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9502, kappa: 0.9002, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9986, recall: 0.9503, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8731, kappa: 0.747, kb_relative_information_score: 0.749, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8885, predictive_accuracy: 0.8748, prior_entropy: 0.9986, recall: 0.8748, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3909, f_measure: 0.3919, kappa: -0.218, kb_relative_information_score: -0.22, mean_absolute_error: 0.6083, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3922, predictive_accuracy: 0.3917, prior_entropy: 0.9986, recall: 0.3917, relative_absolute_error: 1.2189, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7799, root_relative_squared_error: 1.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 0.9479, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9508, kappa: 0.9014, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9512, predictive_accuracy: 0.9509, prior_entropy: 0.9986, recall: 0.9509, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9689, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.9986, recall: 0.9894, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9706, kappa: 0.941, kb_relative_information_score: 0.941, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9711, predictive_accuracy: 0.9706, prior_entropy: 0.9986, recall: 0.9706, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 0.995, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9427, kappa: 0.8851, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9433, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9446, kappa: 0.8888, kb_relative_information_score: 0.8889, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9451, predictive_accuracy: 0.9446, prior_entropy: 0.9986, recall: 0.9446, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 0.99, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9549, kappa: 0.9097, kb_relative_information_score: 0.9096, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.9986, recall: 0.9549, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9722, kappa: 0.9443, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9725, predictive_accuracy: 0.9722, prior_entropy: 0.9986, recall: 0.9722, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 0.9498, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9986, recall: 0.9862, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 0.9404, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9443, kappa: 0.8883, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9445, predictive_accuracy: 0.9443, prior_entropy: 0.9986, recall: 0.9443, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 0.99, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 0.995, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9452, kappa: 0.8902, kb_relative_information_score: 0.8902, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 0.9986, recall: 0.9452, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.869, kappa: 0.7384, kb_relative_information_score: 0.7402, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8807, predictive_accuracy: 0.8705, prior_entropy: 0.9986, recall: 0.8705, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8054, kappa: 0.6157, kb_relative_information_score: 0.6203, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8368, predictive_accuracy: 0.8107, prior_entropy: 0.9986, recall: 0.8107, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9709, kappa: 0.9418, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9713, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9897, kappa: 0.9793, kb_relative_information_score: 2945.009, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9986, recall: 0.9897, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2101, scimark_benchmark: 1249.5355, usercpu_time_millis: 38.091, usercpu_time_millis_testing: 2.335, usercpu_time_millis_training: 35.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9878, kappa: 0.9755, kb_relative_information_score: 0.9755, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.9986, recall: 0.9878, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9694, kappa: 0.9386, kb_relative_information_score: 0.9385, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9698, predictive_accuracy: 0.9693, prior_entropy: 0.9986, recall: 0.9693, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7713, kappa: 0.5415, kb_relative_information_score: 0.5419, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7716, predictive_accuracy: 0.7716, prior_entropy: 0.9986, recall: 0.7716, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 0.936, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 0.9893, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 0.9868, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.1623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2783.1415, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3041, scimark_benchmark: 1254.2646, usercpu_time_millis: 73.701, usercpu_time_millis_testing: 4.841, usercpu_time_millis_training: 68.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8886, kappa: 0.7776, kb_relative_information_score: 575.3928, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9014, predictive_accuracy: 0.8899, prior_entropy: 0.9986, recall: 0.8899, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8692, scimark_benchmark: 1255.1255, usercpu_time_millis: 20.944, usercpu_time_millis_testing: 2.024, usercpu_time_millis_training: 18.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 2830.0426, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3138, scimark_benchmark: 1235.8851, usercpu_time_millis: 52.897, usercpu_time_millis_testing: 3.183, usercpu_time_millis_training: 49.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9672, kappa: 0.9342, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1980.8044, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5238, scimark_benchmark: 1261.6175, usercpu_time_millis: 32.374, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 30.975,

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