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OpenML
OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 128.4536, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9323, scimark_benchmark: 929.0363, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.8197, kappa: 0.408, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8215, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996, scimark_benchmark: 937.6212, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 143.2888, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163, scimark_benchmark: 1333.5799, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.7803, kappa: 0.2562, kb_relative_information_score: 196.6595, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8227, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8175, kappa: 0.3981, kb_relative_information_score: 126.2961, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.84, scimark_benchmark: 1386.5717, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7337, kappa: 0.1405, kb_relative_information_score: 57.8956, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.722, predictive_accuracy: 0.751, prior_entropy: 0.734, recall: 0.751, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.499, root_relative_squared_error: 1.2362, scimark_benchmark: 938.343, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8233, kappa: 0.4221, kb_relative_information_score: 140.2012, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8242, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8471, scimark_benchmark: 876.0664, usercpu_time_millis: 2240, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 136.1727, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, scimark_benchmark: 1331.6907, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8103, kappa: 0.4752, kb_relative_information_score: 135.437, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8409, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.449, root_relative_squared_error: 1.1122, scimark_benchmark: 918.6491, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.8151, kappa: 0.4102, kb_relative_information_score: 178.4904, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.811, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8656, scimark_benchmark: 930.067, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8168, kappa: 0.3925, kb_relative_information_score: 158.9004, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144, scimark_benchmark: 936.6084, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 126.6814, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8625, scimark_benchmark: 825.5282, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.797, kappa: 0.3719, kb_relative_information_score: 127.3697, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7954, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4507, root_relative_squared_error: 1.1165, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.8033, kappa: 0.3653, kb_relative_information_score: 125.3784, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7987, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9077, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.8247, kappa: 0.4442, kb_relative_information_score: 147.3566, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.8598, scimark_benchmark: 1355.7054, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.7849, kappa: 0.3179, kb_relative_information_score: 136.1727, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7794, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, scimark_benchmark: 1294.7826, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.7219, kappa: 0.0562, kb_relative_information_score: 143.2888, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7508, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163, scimark_benchmark: 1313.5005, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7985, kappa: 0.3384, kb_relative_information_score: 131.1264, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7964, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9212, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.8065, kappa: 0.3736, kb_relative_information_score: 185.9854, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8024, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0512, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.8222, kappa: 0.427, kb_relative_information_score: 210.8917, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113, scimark_benchmark: 1464.9318, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.7042, kb_relative_information_score: -1.1394, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.8096, kappa: 0.3982, kb_relative_information_score: 128.5027, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8055, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.9621, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.8243, kappa: 0.4267, kb_relative_information_score: 160.5455, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9332, scimark_benchmark: 931.2336, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 938.2848, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 942.3168, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 934.5243, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8209, kappa: 0.4476, kb_relative_information_score: 185.7176, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.82, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9794, scimark_benchmark: 936.7115, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8269, kappa: 0.4564, kb_relative_information_score: 205.025, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8239, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9247, scimark_benchmark: 876.8277, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.8193, kappa: 0.4436, kb_relative_information_score: 186.7704, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9765, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8335, kappa: 0.4838, kb_relative_information_score: 206.676, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.832, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9138, scimark_benchmark: 934.5243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8129, kappa: 0.428, kb_relative_information_score: 173.4176, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8136, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9945, scimark_benchmark: 938.4278, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8247, kappa: 0.4442, kb_relative_information_score: 161.3491, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.886, scimark_benchmark: 941.7954, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 13.6963, build_memory: 713418824.3372, f_measure: 0.8222, kappa: 0.427, kb_relative_information_score: 187.9881, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.01, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, build_cpu_time: 0.2461, build_memory: 843340493.5172, f_measure: 0.7823, kappa: 0.3229, kb_relative_information_score: 107.4513, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7796, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0846, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, build_cpu_time: 0.1707, build_memory: 1450201484.4751, f_measure: 0.7799, kappa: 0.3144, kb_relative_information_score: 108.5225, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7769, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0798, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, build_cpu_time: 0.0727, build_memory: 1168074796.5977, f_measure: 0.7893, kappa: 0.3424, kb_relative_information_score: 106.9955, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7861, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.0743, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0273, build_memory: 1385655775.4636, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.027, build_memory: 255655700.2759, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0307, build_memory: 353325627.7548, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 121.1261, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9171, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, build_cpu_time: 19.3109, build_memory: 1161541166.3448, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 147.7366, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8618, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 38.6496, build_memory: 1016396323.5556, f_measure: 0.8294, kappa: 0.4609, kb_relative_information_score: 157.8343, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8262, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8601, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, build_cpu_time: 82.8855, build_memory: 30664383.5402, f_measure: 0.8341, kappa: 0.4773, kb_relative_information_score: 152.1541, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8312, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8756, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, build_cpu_time: 330.1539, build_memory: 687280495.4789, f_measure: 0.8175, kappa: 0.4232, kb_relative_information_score: 163.5165, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8138, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9235, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, build_cpu_time: 10.9007, build_memory: 56162546.59, f_measure: 0.8115, kappa: 0.3917, kb_relative_information_score: 175.6706, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8077, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9881, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, build_cpu_time: 12.4921, build_memory: 1442178587.5096, f_measure: 0.8115, kappa: 0.3917, kb_relative_information_score: 175.7524, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8077, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9881, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, build_cpu_time: 8.375, build_memory: 46332328.3525, f_measure: 0.8115, kappa: 0.3917, kb_relative_information_score: 175.3997, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8077, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9867, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, build_cpu_time: 4.7013, build_memory: 687455572.8736, f_measure: 0.819, kappa: 0.4184, kb_relative_information_score: 177.6711, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8155, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9806, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, build_cpu_time: 0.7846, build_memory: 586494326.3142, f_measure: 0.8196, kappa: 0.4398, kb_relative_information_score: 158.6152, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8177, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.9303, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, build_cpu_time: 1.6614, build_memory: 581195773.7011, f_measure: 0.8152, kappa: 0.4148, kb_relative_information_score: 175.2203, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8112, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9524, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, build_cpu_time: 6.4862, build_memory: 161687247.0498, f_measure: 0.8128, kappa: 0.4063, kb_relative_information_score: 173.6088, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9758, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.2706, build_memory: 218736233.272, f_measure: 0.8181, kappa: 0.4139, kb_relative_information_score: 154.7712, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8869, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.1952, build_memory: 200270507.295, f_measure: 0.8181, kappa: 0.4139, kb_relative_information_score: 154.7712, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8869, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.2095, build_memory: 1035557889.6092, f_measure: 0.8181, kappa: 0.4139, kb_relative_information_score: 154.7712, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8869, scimark_benchmark: 923.9118,

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