OpenML
Supervised Classification on prnn_fglass

Supervised Classification on prnn_fglass

Task 4520 Supervised Classification prnn_fglass 190 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7166, kappa: 0.6204, kb_relative_information_score: 1261.9051, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7226, predictive_accuracy: 0.7201, prior_entropy: 2.1997, recall: 0.7201, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7826, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.683, kappa: 0.5742, kb_relative_information_score: 1212.6483, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6825, predictive_accuracy: 0.6869, prior_entropy: 2.1997, recall: 0.6869, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8122, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7199, kappa: 0.6303, kb_relative_information_score: 1209.0932, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7314, predictive_accuracy: 0.7327, prior_entropy: 2.1997, recall: 0.7327, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7328, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6829, kappa: 0.5783, kb_relative_information_score: 1193.7165, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.682, predictive_accuracy: 0.6944, prior_entropy: 2.1997, recall: 0.6944, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7831, scimark_benchmark: 944.1067, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 944.1783, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.693, kappa: 0.6081, kb_relative_information_score: 1301.6426, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6969, predictive_accuracy: 0.7136, prior_entropy: 2.1997, recall: 0.7136, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.7618, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7898, kappa: 0.7178, kb_relative_information_score: 1373.0466, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7909, predictive_accuracy: 0.7949, prior_entropy: 2.1997, recall: 0.7949, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6525, scimark_benchmark: 937.5117, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7166, kappa: 0.6204, kb_relative_information_score: 1261.9051, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7226, predictive_accuracy: 0.7201, prior_entropy: 2.1997, recall: 0.7201, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7826, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.683, kappa: 0.5742, kb_relative_information_score: 1212.6483, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6825, predictive_accuracy: 0.6869, prior_entropy: 2.1997, recall: 0.6869, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8122, scimark_benchmark: 940.1541, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7199, kappa: 0.6303, kb_relative_information_score: 1209.0932, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7314, predictive_accuracy: 0.7327, prior_entropy: 2.1997, recall: 0.7327, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7328, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6829, kappa: 0.5783, kb_relative_information_score: 1193.7165, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.682, predictive_accuracy: 0.6944, prior_entropy: 2.1997, recall: 0.6944, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7831, scimark_benchmark: 730.6551, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7898, kappa: 0.7178, kb_relative_information_score: 1373.0466, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7909, predictive_accuracy: 0.7949, prior_entropy: 2.1997, recall: 0.7949, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6525, scimark_benchmark: 941.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7604, kappa: 0.6794, kb_relative_information_score: 1318.6986, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.765, predictive_accuracy: 0.7682, prior_entropy: 2.1997, recall: 0.7682, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.235, root_relative_squared_error: 0.6706, scimark_benchmark: 819.5729, usercpu_time_millis: 1820, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.7637, kappa: 0.6845, kb_relative_information_score: 1317.8932, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7668, predictive_accuracy: 0.7715, prior_entropy: 2.1997, recall: 0.7715, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.6723, scimark_benchmark: 904.5548, usercpu_time_millis: 520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7465, kappa: 0.6617, kb_relative_information_score: 1308.5048, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7506, predictive_accuracy: 0.7556, prior_entropy: 2.1997, recall: 0.7556, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.6807, scimark_benchmark: 937.5683, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7511, kappa: 0.6668, kb_relative_information_score: 1313.5594, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7543, predictive_accuracy: 0.7593, prior_entropy: 2.1997, recall: 0.7593, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6831, scimark_benchmark: 920.5394, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.7375, kappa: 0.6485, kb_relative_information_score: 1299.1321, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7394, predictive_accuracy: 0.7449, prior_entropy: 2.1997, recall: 0.7449, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7, scimark_benchmark: 914.3583, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4725, f_measure: 0.1861, kb_relative_information_score: 2.0032, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.1997, recall: 0.3551, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 595.2539, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.2072, predictive_accuracy: 0.4481, prior_entropy: 2.1997, recall: 0.4481, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9339, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 595.2539, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.2072, predictive_accuracy: 0.4481, prior_entropy: 2.1997, recall: 0.4481, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9339, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 595.2539, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.2072, predictive_accuracy: 0.4481, prior_entropy: 2.1997, recall: 0.4481, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9339, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 595.2539, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.2072, predictive_accuracy: 0.4481, prior_entropy: 2.1997, recall: 0.4481, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9339, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.2833, kappa: 0.2406, kb_relative_information_score: 595.2539, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.2072, predictive_accuracy: 0.4481, prior_entropy: 2.1997, recall: 0.4481, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9339, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 298.6291, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.1997, recall: 0.3551, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.323, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7482, kappa: 0.6622, kb_relative_information_score: 1316.0484, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7483, predictive_accuracy: 0.7537, prior_entropy: 2.1997, recall: 0.7537, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.7066, scimark_benchmark: 922.8232, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7451, kappa: 0.6576, kb_relative_information_score: 1289.776, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7458, predictive_accuracy: 0.7495, prior_entropy: 2.1997, recall: 0.7495, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6966, scimark_benchmark: 894.7131, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.4879, kappa: 0.3486, kb_relative_information_score: 498.8332, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.4436, predictive_accuracy: 0.5444, prior_entropy: 2.1997, recall: 0.5444, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9164, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7166, kappa: 0.6204, kb_relative_information_score: 1261.9051, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7226, predictive_accuracy: 0.7201, prior_entropy: 2.1997, recall: 0.7201, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7826, scimark_benchmark: 923.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7199, kappa: 0.6303, kb_relative_information_score: 1209.0932, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7314, predictive_accuracy: 0.7327, prior_entropy: 2.1997, recall: 0.7327, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7328, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6829, kappa: 0.5783, kb_relative_information_score: 1193.7165, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.682, predictive_accuracy: 0.6944, prior_entropy: 2.1997, recall: 0.6944, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7831, scimark_benchmark: 1320.8283, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7898, kappa: 0.7178, kb_relative_information_score: 1373.0466, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7909, predictive_accuracy: 0.7949, prior_entropy: 2.1997, recall: 0.7949, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6525, scimark_benchmark: 1313.5633, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.683, kappa: 0.5742, kb_relative_information_score: 1212.5978, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6824, predictive_accuracy: 0.6869, prior_entropy: 2.1997, recall: 0.6869, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8122, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7055, kappa: 0.5997, kb_relative_information_score: 1315.7771, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7049, predictive_accuracy: 0.707, prior_entropy: 2.1997, recall: 0.707, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8232, scimark_benchmark: 1337.4384, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 1352.9101, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 1276.5507, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7199, kappa: 0.6303, kb_relative_information_score: 1209.0932, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7314, predictive_accuracy: 0.7327, prior_entropy: 2.1997, recall: 0.7327, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7328, scimark_benchmark: 1331.0047, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7898, kappa: 0.7178, kb_relative_information_score: 1373.0466, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7909, predictive_accuracy: 0.7949, prior_entropy: 2.1997, recall: 0.7949, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6525, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7898, kappa: 0.7178, kb_relative_information_score: 1373.0466, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7909, predictive_accuracy: 0.7949, prior_entropy: 2.1997, recall: 0.7949, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6525, scimark_benchmark: 1342.6744, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7166, kappa: 0.6204, kb_relative_information_score: 1261.9051, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7226, predictive_accuracy: 0.7201, prior_entropy: 2.1997, recall: 0.7201, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7826, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6829, kappa: 0.5783, kb_relative_information_score: 1193.7165, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.682, predictive_accuracy: 0.6944, prior_entropy: 2.1997, recall: 0.6944, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7831, scimark_benchmark: 1344.3159, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6441, kappa: 0.5439, kb_relative_information_score: 1171.4914, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6282, predictive_accuracy: 0.6794, prior_entropy: 2.1997, recall: 0.6794, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9328, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.693, kappa: 0.6081, kb_relative_information_score: 1301.6426, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6969, predictive_accuracy: 0.7136, prior_entropy: 2.1997, recall: 0.7136, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.7618, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6829, kappa: 0.5783, kb_relative_information_score: 1193.7165, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.682, predictive_accuracy: 0.6944, prior_entropy: 2.1997, recall: 0.6944, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7831, scimark_benchmark: 1297.2338, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.683, kappa: 0.5742, kb_relative_information_score: 1212.5978, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6824, predictive_accuracy: 0.6869, prior_entropy: 2.1997, recall: 0.6869, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.8122, scimark_benchmark: 1384.4422, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7268, kappa: 0.6373, kb_relative_information_score: 1303.7628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.7296, predictive_accuracy: 0.736, prior_entropy: 2.1997, recall: 0.736, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7474, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.693, kappa: 0.6081, kb_relative_information_score: 1301.6426, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2465, number_of_instances: 2140, precision: 0.6969, predictive_accuracy: 0.7136, prior_entropy: 2.1997, recall: 0.7136, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.7618, scimark_benchmark: 918.0213, 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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs