OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9568, kappa: 0.8942, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8831, kappa: 0.7209, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8896, predictive_accuracy: 0.8806, prior_entropy: 0.863, recall: 0.8806, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9582, kappa: 0.8976, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9582, kappa: 0.8976, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9497, kappa: 0.877, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9497, kappa: 0.877, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8831, kappa: 0.7209, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8896, predictive_accuracy: 0.8806, prior_entropy: 0.863, recall: 0.8806, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.825, kappa: 0.5995, kb_relative_information_score: 0.5165, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.818, prior_entropy: 0.863, recall: 0.818, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9635, kappa: 0.9102, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.943, kappa: 0.861, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.765, kappa: 0.4655, kb_relative_information_score: 0.3493, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7951, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9533, kappa: 0.8858, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 0.902, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 0.902, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9228, kappa: 0.8129, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9228, kappa: 0.8129, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9431, kappa: 0.8614, kb_relative_information_score: 0.8481, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8569, kappa: 0.6674, kb_relative_information_score: 0.6067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.852, prior_entropy: 0.863, recall: 0.852, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8569, kappa: 0.6674, kb_relative_information_score: 0.6067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.852, prior_entropy: 0.863, recall: 0.852, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9337, kappa: 0.8388, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9337, kappa: 0.8388, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 0.9023, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8662, kappa: 0.6795, kb_relative_information_score: 0.6377, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9535, kappa: 0.8862, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9461, kappa: 0.8678, kb_relative_information_score: 27677.9381, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4382, scimark_benchmark: 1282.4968, usercpu_time_millis: 7936.435, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 7935.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9061, kappa: 0.7662, kb_relative_information_score: 18084.4042, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9078, prior_entropy: 0.863, recall: 0.9078, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6157, scimark_benchmark: 1297.4067, usercpu_time_millis: 4029.173, usercpu_time_millis_testing: 7.67, usercpu_time_millis_training: 4021.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9351, kappa: 0.8399, kb_relative_information_score: 25564.3502, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4885, scimark_benchmark: 1286.6712, usercpu_time_millis: 480.753, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 479.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9423, kappa: 0.858, kb_relative_information_score: 26823.2046, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4575, scimark_benchmark: 1303.6987, usercpu_time_millis: 7612.554, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 7611.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9253, kappa: 0.8151, kb_relative_information_score: 22651.2889, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5362, scimark_benchmark: 1318.6224, usercpu_time_millis: 1030.437, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 1029.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9158, kb_relative_information_score: 29946.4872, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1300.0741, usercpu_time_millis: 9622.568, usercpu_time_millis_testing: 41.939, usercpu_time_millis_training: 9580.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8522, kappa: 0.6225, kb_relative_information_score: 15583.3878, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8631, prior_entropy: 0.863, recall: 0.8631, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6767, scimark_benchmark: 1294.9382, usercpu_time_millis: 175.576, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 174.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9242, kappa: 0.8123, kb_relative_information_score: 22944.2424, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9243, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5316, scimark_benchmark: 1316.268, usercpu_time_millis: 7975.828, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 7974.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9443, kappa: 0.8633, kb_relative_information_score: 27412.0222, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.445, scimark_benchmark: 1244.3587, usercpu_time_millis: 12131.618, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 12130.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9116, kb_relative_information_score: 29839.4367, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1281.3229, usercpu_time_millis: 8335.251, usercpu_time_millis_testing: 20.849, usercpu_time_millis_training: 8314.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29992.585, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526, scimark_benchmark: 1304.2351, usercpu_time_millis: 1364.665, usercpu_time_millis_testing: 3.533, usercpu_time_millis_training: 1361.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9605, kappa: 0.9032, kb_relative_information_score: 28979.032, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3813, scimark_benchmark: 1282.5362, usercpu_time_millis: 6328.229, usercpu_time_millis_testing: 41.188, usercpu_time_millis_training: 6287.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.93, kappa: 0.8275, kb_relative_information_score: 24026.139, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9299, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5172, scimark_benchmark: 1294.065, usercpu_time_millis: 3019.506, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 3018.363,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9089, kappa: 0.7736, kb_relative_information_score: 20731.0748, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9093, predictive_accuracy: 0.9104, prior_entropy: 0.863, recall: 0.9104, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5831, scimark_benchmark: 1851.3986, usercpu_time_millis: 462.029, usercpu_time_millis_testing: 7.229, usercpu_time_millis_training: 454.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9424, kappa: 0.8578, kb_relative_information_score: 26274.178, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4666, scimark_benchmark: 1850.2875, usercpu_time_millis: 485.433, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 483.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9453, kappa: 0.8657, kb_relative_information_score: 27559.3104, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1275.0502, usercpu_time_millis: 11534.049, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 11533.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9362, kappa: 0.8431, kb_relative_information_score: 24930.962, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4895, scimark_benchmark: 1306.4992, usercpu_time_millis: 14706.515, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 14705.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8597, kappa: 0.6625, kb_relative_information_score: 17295.9408, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 0.863, recall: 0.8575, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6957, scimark_benchmark: 790.2522, usercpu_time_millis: 2518.96, usercpu_time_millis_testing: 15.314, usercpu_time_millis_training: 2503.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3816, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 12.054, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 11.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.1671, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.321, usercpu_time_millis: 26.354, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 23.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28597.5726, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3914, scimark_benchmark: 1844.7928, usercpu_time_millis: 117.884, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 116.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.7377, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 38.036, usercpu_time_millis_testing: 6.569, usercpu_time_millis_training: 31.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.2232, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.4874, usercpu_time_millis: 37.878, usercpu_time_millis_testing: 4.877, usercpu_time_millis_training: 33.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9404, kappa: 0.8525, kb_relative_information_score: 25966.0818, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4619, scimark_benchmark: 1279.647, usercpu_time_millis: 2895.528, usercpu_time_millis_testing: 5.584, usercpu_time_millis_training: 2889.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9452, kappa: 0.8654, kb_relative_information_score: 27519.6662, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4416, scimark_benchmark: 1288.4124, usercpu_time_millis: 6563.853, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 6563.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9463, kappa: 0.8683, kb_relative_information_score: 27868.3175, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4369, scimark_benchmark: 1282.3141, usercpu_time_millis: 335.905, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 334.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.6041, kappa: 0.0186, kb_relative_information_score: -8966.045, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7979, predictive_accuracy: 0.7181, prior_entropy: 0.863, recall: 0.7181, relative_absolute_error: 1.1292, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.0242, scimark_benchmark: 1301.8143, usercpu_time_millis: 8550.758, usercpu_time_millis_testing: 17.565, usercpu_time_millis_training: 8533.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9199, kappa: 0.8012, kb_relative_information_score: 19809.8076, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9202, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5889, scimark_benchmark: 1265.5774, usercpu_time_millis: 2343.937, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 2343.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9392, kappa: 0.8507, kb_relative_information_score: 26143.2692, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468, scimark_benchmark: 1263.2711, usercpu_time_millis: 11099.256, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 11098.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 27409.9627, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.417, scimark_benchmark: 1267.6671, usercpu_time_millis: 14219.104, usercpu_time_millis_testing: 27.806, usercpu_time_millis_training: 14191.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.93, kappa: 0.8279, kb_relative_information_score: 24053.4702, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9299, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1301.5889, usercpu_time_millis: 3521.839, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 3521.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9419, kappa: 0.8565, kb_relative_information_score: 24383.7212, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4798, scimark_benchmark: 1283.5768, usercpu_time_millis: 3410.508, usercpu_time_millis_testing: 17.543, usercpu_time_millis_training: 3392.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9407, kappa: 0.8545, kb_relative_information_score: 27184.4078, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.458, scimark_benchmark: 1305.3051, usercpu_time_millis: 4916.954, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 4916.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.1142, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1728.0167, usercpu_time_millis: 47.963, usercpu_time_millis_testing: 7.62, usercpu_time_millis_training: 40.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 28022.7823, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4042, scimark_benchmark: 1724.0704, usercpu_time_millis: 11.989, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 11.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9194, kappa: 0.798, kb_relative_information_score: 24642.0131, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5204, scimark_benchmark: 1833.7788, usercpu_time_millis: 1706.138, usercpu_time_millis_testing: 6.394, usercpu_time_millis_training: 1699.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9206, kappa: 0.8026, kb_relative_information_score: 20630.1487, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9219, prior_entropy: 0.863, recall: 0.9219, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5703, scimark_benchmark: 1288.1672, usercpu_time_millis: 12419.662, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 12418.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27827.0403, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4158, scimark_benchmark: 1836.0792, usercpu_time_millis: 722.559, usercpu_time_millis_testing: 5.797, usercpu_time_millis_training: 716.762,

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