Task
Supervised Classification on fishcatch

Supervised Classification on fishcatch

Task 3719 Supervised Classification fishcatch 463 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9494, kappa: 0.8944, kb_relative_information_score: 143.0361, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9495, kappa: 0.895, kb_relative_information_score: 136.1445, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9499, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9432, kappa: 0.8821, kb_relative_information_score: 138.7951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 142.1242, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.943, kappa: 0.8809, kb_relative_information_score: 135.7686, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9434, kappa: 0.8828, kb_relative_information_score: 130.0633, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9456, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9435, kappa: 0.884, kb_relative_information_score: 137.6816, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9502, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9435, kappa: 0.884, kb_relative_information_score: 138.5611, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9502, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9685, kappa: 0.9345, kb_relative_information_score: 147.5561, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9693, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.3034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9371, kappa: 0.8701, kb_relative_information_score: 132.7237, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9403, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9308, kappa: 0.8567, kb_relative_information_score: 132.2914, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.933, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9556, kappa: 0.9074, kb_relative_information_score: 142.5872, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9621, kappa: 0.9212, kb_relative_information_score: 146.4525, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.937, kappa: 0.8694, kb_relative_information_score: 133.0747, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9385, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 149.3696, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9434, kappa: 0.8828, kb_relative_information_score: 126.0403, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9456, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.214, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9121, kappa: 0.8191, kb_relative_information_score: 128.1761, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9175, predictive_accuracy: 0.9114, prior_entropy: 0.971, recall: 0.9114, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9435, kappa: 0.884, kb_relative_information_score: 138.3601, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9502, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 140.2584, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 134.9107, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9372, kappa: 0.8708, kb_relative_information_score: 123.7841, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9425, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.4515, kb_relative_information_score: -0.144, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9059, kappa: 0.8067, kb_relative_information_score: 128.0344, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9126, predictive_accuracy: 0.9051, prior_entropy: 0.971, recall: 0.9051, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.912, kappa: 0.8181, kb_relative_information_score: 132.4711, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9152, predictive_accuracy: 0.9114, prior_entropy: 0.971, recall: 0.9114, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.937, kappa: 0.8694, kb_relative_information_score: 135.5879, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9385, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 135.1589, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9435, kappa: 0.884, kb_relative_information_score: 138.3811, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9502, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 140.3652, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 138.833, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9434, kappa: 0.8828, kb_relative_information_score: 138.7951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9456, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.7951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 145.1566, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9435, kappa: 0.884, kb_relative_information_score: 137.6259, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9502, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 135.1589, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 137.4854, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 138.8546, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4419, scimark_benchmark: 1317.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 141.6993, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3642, scimark_benchmark: 1144.8167, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9434, kappa: 0.8828, kb_relative_information_score: 138.8613, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9456, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.485, scimark_benchmark: 1374.7449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9684, kappa: 0.9342, kb_relative_information_score: 145.7465, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3611, scimark_benchmark: 1266.4271, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9621, kappa: 0.9212, kb_relative_information_score: 144.1824, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4014, scimark_benchmark: 1323.5607, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.956, kappa: 0.9093, kb_relative_information_score: 134.7521, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9601, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4131, scimark_benchmark: 921.4831, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 135.1589, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4756, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9431, kappa: 0.8815, kb_relative_information_score: 135.2178, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9433, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4382, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9365, kappa: 0.8673, kb_relative_information_score: 136.4028, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4914, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9684, kappa: 0.9342, kb_relative_information_score: 145.7465, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3611, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9306, kappa: 0.856, kb_relative_information_score: 126.7695, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9316, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4375, scimark_benchmark: 1877.5305, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 138.8546, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4419, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.4515, kb_relative_information_score: -0.144, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0004, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 934.695,

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