OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 284 Supervised Classification hepatitis 375 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8506, kappa: 0.5863, kb_relative_information_score: 23.0151, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8642, predictive_accuracy: 0.8627, prior_entropy: 0.7418, recall: 0.8627, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7654, scimark_benchmark: 1393.8432, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 10.7739, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8925, scimark_benchmark: 1323.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 6.3812, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.1187, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6373, kappa: -0.0046, kb_relative_information_score: -3.136, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6182, predictive_accuracy: 0.6667, prior_entropy: 0.7418, recall: 0.6667, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.1492, scimark_benchmark: 1337.4384, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6363, kb_relative_information_score: 11.4722, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1524, scimark_benchmark: 1345.9182, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1338.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6677, kappa: 0.0701, kb_relative_information_score: 5.1475, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6901, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.9511, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.8211, kappa: 0.5234, kb_relative_information_score: 19.4929, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8195, predictive_accuracy: 0.8235, prior_entropy: 0.7418, recall: 0.8235, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8756, scimark_benchmark: 1313.5633, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7236, kappa: 0.2234, kb_relative_information_score: 10.168, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7361, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9915, scimark_benchmark: 1323.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8506, kappa: 0.5863, kb_relative_information_score: 23.0151, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8642, predictive_accuracy: 0.8627, prior_entropy: 0.7418, recall: 0.8627, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7654, scimark_benchmark: 1362.1309, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 10.7739, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8925, scimark_benchmark: 1360.6367, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7814, kappa: 0.4174, kb_relative_information_score: 19.2504, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7792, predictive_accuracy: 0.7843, prior_entropy: 0.7418, recall: 0.7843, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9266, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 6.3812, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.1187, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6363, kb_relative_information_score: 11.4722, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1524, scimark_benchmark: 1334.1324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 21.0655, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.955, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 10.7739, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8925, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 10.7739, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8925, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.8211, kappa: 0.5234, kb_relative_information_score: 19.4929, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8195, predictive_accuracy: 0.8235, prior_entropy: 0.7418, recall: 0.8235, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8756, scimark_benchmark: 1320.9387, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 20.1376, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9381, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6677, kappa: 0.0701, kb_relative_information_score: 5.1475, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6901, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.9511, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8506, kappa: 0.5863, kb_relative_information_score: 23.0151, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8642, predictive_accuracy: 0.8627, prior_entropy: 0.7418, recall: 0.8627, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7654, scimark_benchmark: 1328.1857, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 6.3812, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.1187, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 21.0655, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.955, scimark_benchmark: 1345.7204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6363, kb_relative_information_score: 11.4722, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1524, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6363, kb_relative_information_score: 11.4722, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1524, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 21.0655, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.955, scimark_benchmark: 1354.3488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.738, kappa: 0.2697, kb_relative_information_score: 13.5116, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7384, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.0417, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6944, kappa: 0.148, kb_relative_information_score: 6.3812, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.685, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.1187, scimark_benchmark: 1345.7204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.6677, kappa: 0.0701, kb_relative_information_score: 9.3144, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6901, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9052, scimark_benchmark: 1340.1351, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 21.0655, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.955, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: 21.9487, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0108, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7255, kappa: 0.2773, kb_relative_information_score: 8.1342, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7255, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.1895, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7647, kappa: 0.3806, kb_relative_information_score: 14.9643, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7647, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1072, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8039, kappa: 0.4838, kb_relative_information_score: -19.1083, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8039, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 1.1039, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9997, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6363, kb_relative_information_score: 1.3065, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0062, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6678, kappa: 0.2273, kb_relative_information_score: -39.4364, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.718, predictive_accuracy: 0.6471, prior_entropy: 0.7418, recall: 0.6471, relative_absolute_error: 1.3605, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.1125, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.7019, kappa: 0.2056, kb_relative_information_score: 4.8291, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6985, predictive_accuracy: 0.7059, prior_entropy: 0.7418, recall: 0.7059, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.029, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.8115, kappa: 0.5313, kb_relative_information_score: 18.1001, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8293, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9983, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6363, kb_relative_information_score: 6.2263, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.5552, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9439, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7492, kappa: 0.3108, kb_relative_information_score: 15.0899, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7448, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0991, scimark_benchmark: 930.5999, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.6677, kappa: 0.0701, kb_relative_information_score: 9.1034, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6901, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8988, scimark_benchmark: 1339.3974, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6799, kappa: 0.1105, kb_relative_information_score: 5.779, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.8212, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9407, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.7049, kappa: 0.1707, kb_relative_information_score: 9.0303, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7443, predictive_accuracy: 0.7647, prior_entropy: 0.7418, recall: 0.7647, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9956, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7333, kappa: 0.2738, kb_relative_information_score: 11.9593, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7272, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.489, root_relative_squared_error: 1.1162, scimark_benchmark: 915.6729, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7333, kappa: 0.2738, kb_relative_information_score: 11.7062, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7272, predictive_accuracy: 0.7451, prior_entropy: 0.7418, recall: 0.7451, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.1089, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7074, kappa: 0.1959, kb_relative_information_score: 8.1002, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6987, predictive_accuracy: 0.7255, prior_entropy: 0.7418, recall: 0.7255, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.497, root_relative_squared_error: 1.1345, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6799, kappa: 0.1136, kb_relative_information_score: 7.0785, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6674, predictive_accuracy: 0.7059, prior_entropy: 0.7418, recall: 0.7059, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.1142, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6799, kappa: 0.1136, kb_relative_information_score: 5.3833, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.6674, predictive_accuracy: 0.7059, prior_entropy: 0.7418, recall: 0.7059, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0852, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.791, kappa: 0.4257, kb_relative_information_score: 17.9359, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3579, number_of_instances: 51, precision: 0.7909, predictive_accuracy: 0.8039, prior_entropy: 0.7418, recall: 0.8039, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8919, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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