OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 248 Supervised Classification mfeat-morphological 314 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7188, kappa: 0.6884, kb_relative_information_score: 497.1564, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7202, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6576, scimark_benchmark: 1064.8317, usercpu_time_millis: 4160, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.7082, kappa: 0.6798, kb_relative_information_score: 502.5532, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7071, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6278, scimark_benchmark: 942.9708, usercpu_time_millis: 15640, usercpu_time_millis_testing: 15630, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7149, kappa: 0.6866, kb_relative_information_score: 500.9914, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.719, predictive_accuracy: 0.7182, prior_entropy: 3.3219, recall: 0.7182, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6353, scimark_benchmark: 1342.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7303, kappa: 0.7119, kb_relative_information_score: 467.9292, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.735, predictive_accuracy: 0.7409, prior_entropy: 3.3219, recall: 0.7409, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6293, scimark_benchmark: 1342.1678, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6608, kappa: 0.6243, kb_relative_information_score: 432.8966, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6626, predictive_accuracy: 0.6621, prior_entropy: 3.3219, recall: 0.6621, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.8538, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7718, kappa: 0.7473, kb_relative_information_score: 512.7269, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7751, predictive_accuracy: 0.7727, prior_entropy: 3.3219, recall: 0.7727, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5788, scimark_benchmark: 1368.9272, usercpu_time_millis: 6950, usercpu_time_millis_training: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.6815, kappa: 0.6667, kb_relative_information_score: 245.4001, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7125, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8968, scimark_benchmark: 1349.1028, usercpu_time_millis: 12760, usercpu_time_millis_testing: 12760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 885.0921, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.716, kappa: 0.7018, kb_relative_information_score: 470.6014, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7245, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6278, scimark_benchmark: 885.0921, usercpu_time_millis: 1620, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.1091, kappa: 0.0739, kb_relative_information_score: 95.291, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.1297, predictive_accuracy: 0.1818, prior_entropy: 3.3219, recall: 0.1818, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.3484, scimark_benchmark: 1270.2428, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7641, kappa: 0.7388, kb_relative_information_score: 520.9691, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.766, predictive_accuracy: 0.7652, prior_entropy: 3.3219, recall: 0.7652, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5775, scimark_benchmark: 961.21, usercpu_time_millis: 860, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 1281.7531, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 1311.1837, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7377, kappa: 0.7103, kb_relative_information_score: 495.7756, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.743, predictive_accuracy: 0.7394, prior_entropy: 3.3219, recall: 0.7394, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.691, scimark_benchmark: 1323.7742, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7236, kappa: 0.7068, kb_relative_information_score: 470.1395, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7323, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 1275.9462, usercpu_time_millis: 570, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.7305, kappa: 0.7018, kb_relative_information_score: 503.6923, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7325, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6328, scimark_benchmark: 1316.8289, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.7381, kappa: 0.7102, kb_relative_information_score: 509.1614, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7396, predictive_accuracy: 0.7394, prior_entropy: 3.3219, recall: 0.7394, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6061, scimark_benchmark: 1311.1837, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7284, kappa: 0.7001, kb_relative_information_score: 505.6079, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7306, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6048, scimark_benchmark: 1311.7039, usercpu_time_millis: 770, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.725, kappa: 0.6967, kb_relative_information_score: 506.6831, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7275, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6032, scimark_benchmark: 1059.8591, usercpu_time_millis: 510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.7295, kappa: 0.7018, kb_relative_information_score: 508.0333, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7301, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6006, scimark_benchmark: 1313.6093, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 1262.9237, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 885.7425, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.6749, kappa: 0.6782, kb_relative_information_score: 482.9027, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6831, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6644, scimark_benchmark: 1320.4802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.7061, kappa: 0.6816, kb_relative_information_score: 496.2657, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7145, predictive_accuracy: 0.7136, prior_entropy: 3.3219, recall: 0.7136, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6632, scimark_benchmark: 1301.9176, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 1301.9956, usercpu_time_millis: 960, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6683, kappa: 0.6327, kb_relative_information_score: 438.4107, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6692, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.8429, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.698, kappa: 0.7018, kb_relative_information_score: 497.8526, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6889, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6286, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.7113, kappa: 0.7118, kb_relative_information_score: 492.9592, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7241, predictive_accuracy: 0.7409, prior_entropy: 3.3219, recall: 0.7409, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.633, scimark_benchmark: 1321.6263, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.6921, kappa: 0.6596, kb_relative_information_score: 448.757, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6928, predictive_accuracy: 0.6939, prior_entropy: 3.3219, recall: 0.6939, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8247, scimark_benchmark: 1315.395, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.3244, kappa: 0.3401, kb_relative_information_score: 253.2003, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4016, predictive_accuracy: 0.4106, prior_entropy: 3.3219, recall: 0.4106, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3433, root_relative_squared_error: 1.1444, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7078, kappa: 0.7052, kb_relative_information_score: 501.7584, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7101, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6474, scimark_benchmark: 1466.6185, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4406, kappa: 0.3943, kb_relative_information_score: 283.5273, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4432, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.101, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.6942, kappa: 0.6916, kb_relative_information_score: 468.6264, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7087, predictive_accuracy: 0.7227, prior_entropy: 3.3219, recall: 0.7227, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.785, scimark_benchmark: 977.6382, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6943, kappa: 0.695, kb_relative_information_score: 492.9402, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6795, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6659, scimark_benchmark: 1054.3694, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.768, build_memory: 190695048, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.613, build_memory: 793026640, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.68, build_memory: 1245065456, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.461, build_memory: 796642344, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 1.444, build_memory: 1683676480, f_measure: 0.7291, kappa: 0.7052, kb_relative_information_score: 238.1674, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.744, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, build_cpu_time: 0.166, build_memory: 564553504, f_measure: 0.7114, kappa: 0.69, kb_relative_information_score: 439.5709, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7148, predictive_accuracy: 0.7212, prior_entropy: 3.3219, recall: 0.7212, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.206, build_memory: 114868584, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.2, build_memory: 1140838360, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.236, build_memory: 1011299696, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.224, build_memory: 95690152, f_measure: 0.714, kappa: 0.7068, kb_relative_information_score: 469.9565, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7152, predictive_accuracy: 0.7364, prior_entropy: 3.3219, recall: 0.7364, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 2.182, build_memory: 242970144, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 468.4677, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7093, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7697, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, build_cpu_time: 1.555, build_memory: 2307826760, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 467.6903, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7093, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7701, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 0.618, build_memory: 2599347976, f_measure: 0.7094, kappa: 0.6798, kb_relative_information_score: 466.4523, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7091, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7712, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, build_cpu_time: 0.313, build_memory: 1627620288, f_measure: 0.7095, kappa: 0.6798, kb_relative_information_score: 465.533, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.709, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7717, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 0.251, build_memory: 865538088, f_measure: 0.7021, kappa: 0.6714, kb_relative_information_score: 463.3089, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7012, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 4.493, build_memory: 1242346056, f_measure: 0.7334, kappa: 0.7051, kb_relative_information_score: 478.5949, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7347, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7515, scimark_benchmark: 939.9709,

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