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OpenML
Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_7 under100k under1m
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685 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8312, kappa: 0.7765, kb_relative_information_score: 247.7757, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8255, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5934, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.2541, kb_relative_information_score: -0.5249, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027, scimark_benchmark: 938.343, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8029, kappa: 0.7617, kb_relative_information_score: 42.9956, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9784, scimark_benchmark: 942.2229, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8596, kappa: 0.8146, kb_relative_information_score: 251.8613, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5331, scimark_benchmark: 938.9967, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8602, kappa: 0.8174, kb_relative_information_score: 262.3411, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8556, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5999, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 1327.8711, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7823, kappa: 0.7027, kb_relative_information_score: 221.529, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7811, predictive_accuracy: 0.7857, prior_entropy: 2.2353, recall: 0.7857, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7674, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8009, kappa: 0.7342, kb_relative_information_score: 219.0099, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7985, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6439, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8178, kappa: 0.762, kb_relative_information_score: 225.4161, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8129, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6393, scimark_benchmark: 1355.7054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.84, kappa: 0.7857, kb_relative_information_score: 253.3999, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8354, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6521, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.604, kappa: 0.4585, kb_relative_information_score: 156.4247, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.686, predictive_accuracy: 0.6488, prior_entropy: 2.2353, recall: 0.6488, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9824, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8168, kappa: 0.755, kb_relative_information_score: 238.6816, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8134, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6369, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.6287, kappa: 0.5382, kb_relative_information_score: 164.5098, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6181, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9398, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8526, kappa: 0.8031, kb_relative_information_score: 258.4254, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8489, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6188, scimark_benchmark: 938.2848, usercpu_time_millis: 10020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7977, kappa: 0.7278, kb_relative_information_score: 233.6304, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7929, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7347, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 942.6953, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 939.7623, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 939.7623, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 876.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8245, kappa: 0.7648, kb_relative_information_score: 243.9293, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8204, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6466, scimark_benchmark: 934.5243, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8442, kappa: 0.7898, kb_relative_information_score: 251.8922, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8407, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6015, scimark_benchmark: 938.2848, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8553, kappa: 0.81, kb_relative_information_score: 256.1835, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8512, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5682, scimark_benchmark: 910.8389, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8504, kappa: 0.802, kb_relative_information_score: 253.2257, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8462, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5656, scimark_benchmark: 933.8635, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8489, kappa: 0.8011, kb_relative_information_score: 248.3799, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8446, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5694, scimark_benchmark: 938.9865, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8151, kappa: 0.7579, kb_relative_information_score: 243.6034, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8112, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5907, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, build_cpu_time: 2.5596, build_memory: 109122659.1905, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, build_cpu_time: 37.5653, build_memory: 667897239.9762, f_measure: 0.8415, kappa: 0.7902, kb_relative_information_score: 254.3347, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8364, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6452, scimark_benchmark: 941.9254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 9.5191, build_memory: 961261317.8333, f_measure: 0.8333, kappa: 0.7777, kb_relative_information_score: 254.2909, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8299, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6366, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 4.273, build_memory: 1281428223.0714, f_measure: 0.8455, kappa: 0.7908, kb_relative_information_score: 255.9029, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8439, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6224, scimark_benchmark: 934.2858,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 1.8748, build_memory: 150641281.2857, f_measure: 0.8345, kappa: 0.7778, kb_relative_information_score: 252.6172, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8301, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6312, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 4.2431, build_memory: 767694799.4286, f_measure: 0.8499, kappa: 0.7981, kb_relative_information_score: 255.6584, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8464, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.617, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, build_cpu_time: 7.7815, build_memory: 898690877.9524, f_measure: 0.8502, kappa: 0.7984, kb_relative_information_score: 256.4845, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8469, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.621, scimark_benchmark: 945.0554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, build_cpu_time: 0.0921, build_memory: 139891199.5, f_measure: 0.8312, kappa: 0.7747, kb_relative_information_score: 252.6104, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.828, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.653, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.2265, build_memory: 963241250, f_measure: 0.8367, kappa: 0.7819, kb_relative_information_score: 253.9542, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8338, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6489, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, build_cpu_time: 0.3706, build_memory: 122317202.4048, f_measure: 0.8509, kappa: 0.8021, kb_relative_information_score: 258.9136, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8491, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6227, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 0.7631, build_memory: 979605245.0476, f_measure: 0.8447, kappa: 0.7902, kb_relative_information_score: 256.2785, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8431, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, build_cpu_time: 0.0653, build_memory: 2125923824.1191, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 931.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.003, build_memory: 81994275.4286, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.0101, build_memory: 86406798.3571, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 922.3661,

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