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: 0.8739, f_measure: 0.8765, kappa: 0.7531, kb_relative_information_score: 0.7546, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8865, predictive_accuracy: 0.8777, prior_entropy: 0.9986, recall: 0.8777, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, 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: 0.9062, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9668, kappa: 0.9336, kb_relative_information_score: 0.9335, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9673, predictive_accuracy: 0.9668, prior_entropy: 0.9986, recall: 0.9668, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3646,
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: 0.9492, f_measure: 0.9496, kappa: 0.899, kb_relative_information_score: 0.899, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9986, recall: 0.9496, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4493,
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: 0.9922, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, 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: 0.9451, f_measure: 0.9458, kappa: 0.8914, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9462, predictive_accuracy: 0.9459, prior_entropy: 0.9986, recall: 0.9459, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.383, kappa: 0.0246, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7536, predictive_accuracy: 0.5335, prior_entropy: 0.9986, recall: 0.5335, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.971, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9155, kappa: 0.8307, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9986, recall: 0.9155, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.4271, kappa: 0.0709, kb_relative_information_score: 0.107, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7597, predictive_accuracy: 0.5548, prior_entropy: 0.9986, recall: 0.5548, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6673, root_relative_squared_error: 1.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9058, kappa: 0.8114, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9059, predictive_accuracy: 0.9058, prior_entropy: 0.9986, recall: 0.9058, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6144,
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: 0.9472, f_measure: 0.9477, kappa: 0.8952, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, 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: 0.9371, 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: 0.9727, 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: 0.9928, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7834, kappa: 0.5759, kb_relative_information_score: 0.582, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8292, predictive_accuracy: 0.7916, prior_entropy: 0.9986, recall: 0.7916, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9139,
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: 0.9938, 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: 0.9928, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9675, kappa: 0.9349, kb_relative_information_score: 0.9347, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.968, predictive_accuracy: 0.9675, prior_entropy: 0.9986, recall: 0.9675, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9677, kappa: 0.9353, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9685, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9423, kappa: 0.8844, kb_relative_information_score: 0.8845, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9432, predictive_accuracy: 0.9424, prior_entropy: 0.9986, recall: 0.9424, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4804,
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: 0.979, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 0.9573, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 0.9986, recall: 0.9787, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.292,
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: 0.9972, 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: 0.9417, f_measure: 0.9429, kappa: 0.8856, kb_relative_information_score: 0.8858, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9442, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4777,
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: 0.8039, 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,
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: 0.9709, 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: 0.3909, 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: 0.9501, 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: 0.9371, 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: 0.9446, 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: 0.996, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 3033.0095, mean_absolute_error: 0.0289, 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: 0.0579, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.202, scimark_benchmark: 1252.7401, usercpu_time_millis: 12.14, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 11.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9067, kappa: 0.8133, kb_relative_information_score: 1386.4586, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9137, predictive_accuracy: 0.9074, prior_entropy: 0.9986, recall: 0.9074, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6786, scimark_benchmark: 1254.9462, usercpu_time_millis: 15.147, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 14.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9392, kappa: 0.878, kb_relative_information_score: 1415.9234, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9407, predictive_accuracy: 0.9393, prior_entropy: 0.9986, recall: 0.9393, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6647, scimark_benchmark: 1271.6423, usercpu_time_millis: 35.759, usercpu_time_millis_testing: 2.699, usercpu_time_millis_training: 33.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3126.9142, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1359, scimark_benchmark: 1245.8306, usercpu_time_millis: 15.781, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 15.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9615, kappa: 0.923, kb_relative_information_score: 2757.5703, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9619, predictive_accuracy: 0.9615, prior_entropy: 0.9986, recall: 0.9615, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3512, scimark_benchmark: 1262.4855, usercpu_time_millis: 30.53, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 29.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8315, kappa: 0.6668, kb_relative_information_score: 363.456, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8614, predictive_accuracy: 0.8357, prior_entropy: 0.9986, recall: 0.8357, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9187, scimark_benchmark: 1269.8513, usercpu_time_millis: 16.881, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 15.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9725, kappa: 0.9448, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9986, recall: 0.9725, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9049, kappa: 0.8095, kb_relative_information_score: 0.8092, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.905, predictive_accuracy: 0.9049, prior_entropy: 0.9986, recall: 0.9049, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9683, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, 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: 0.9743, 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: 0.9948, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2821.3218, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.331, scimark_benchmark: 1263.6342, usercpu_time_millis: 41.123, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 39.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8123, kappa: 0.6315, kb_relative_information_score: 305.9019, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8564, predictive_accuracy: 0.8188, prior_entropy: 0.9986, recall: 0.8188, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9319, scimark_benchmark: 1239.3183, usercpu_time_millis: 20.269, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 17.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3004.653, mean_absolute_error: 0.0358, 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: 0.0718, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1891, scimark_benchmark: 1252.5682, usercpu_time_millis: 84.819, usercpu_time_millis_testing: 4.815, usercpu_time_millis_training: 80.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9389, kappa: 0.8774, kb_relative_information_score: 1229.0857, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9403, predictive_accuracy: 0.939, prior_entropy: 0.9986, recall: 0.939, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7095, scimark_benchmark: 1270.2455, usercpu_time_millis: 26.356, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 24.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9208, kappa: 0.8413, kb_relative_information_score: 1910.6268, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.925, predictive_accuracy: 0.9212, prior_entropy: 0.9986, recall: 0.9212, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5597, scimark_benchmark: 1249.8696, usercpu_time_millis: 30.177, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 28.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3104.9349, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1457, scimark_benchmark: 1266.5149, usercpu_time_millis: 39.377, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 38.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.898, kappa: 0.7958, kb_relative_information_score: 0.7967, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9033, predictive_accuracy: 0.8986, prior_entropy: 0.9986, recall: 0.8986, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.97, kappa: 0.9399, kb_relative_information_score: 0.9398, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.347,

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